Jurnal Media Computer Science

Design Of A Website-Based Patient Medical Record Application (Case Study: Rumah Sakit Advent Medan)

Deka S. N. Sigalingging, Rian Farta Wijaya — Thu, 11 Sep 2025 10:51:34 +0700

Medical records are documents containing patient identity data, examination, treatments, procedures, and other services provided to patient. The management and storage of medical records at Advent Hospital are still conducted manually, leading to data duplication, input errors, and time-consuming data retrieval processes. This study aims to develop a web-based medical record information system to enhance the efficiency of patient data processing. The system was build using PHP and MySQL with Software Development Life Cycle (SDLC) cascade model (waterfall model). Black box testing results indicate that all functions of the medical record system operate efficiency and validly. The system is effective in reducing data duplication and accelerating data retrieval.

Comparative Analysis Of The Efficiency Of Auxiliary Power Unit (APU) And Ground Support Equipment (GSE) On The Electrical System Of Airbus A320 Aircraft

Luvan Ardiansyah, Parlin Siagian; Haris Gunawan — Thu, 11 Sep 2025 10:52:11 +0700

This research analyzes the efficiency comparison between the Auxiliary Power Unit (APU) and Ground Power Unit (GPU) on the Airbus A320 aircraft's electrical system during ground operations. Aircraft operations require a stable power supply, provided by either an internal APU or an external GPU. Although the APU offers flexibility, its high fuel consumption and significant environmental impact are considerable concerns. Conversely, the GPU is deemed more efficient and environmentally friendly. The study aims to calculate energy consumption, analyze efficiency, and recommend the most efficient and environmentally sound electrical power source. The method employed is a quasi-experimental field observation, involving direct data collection from a Houchin LTD model C690 GPU unit. Data collection was conducted over 7 days, from June 1 to June 7, 2025. Data analysis includes mathematical calculations for energy efficiency and operational economic analysis. Research findings indicate that the GPU significantly outperforms the APU. The diesel GPU exhibits an energy efficiency of approximately 31.30%, considerably higher than the APU's around 1.54% (based on 7 days of data). The GPU also presents superior electrical power quality, characterized by a higher Power Factor and lower Total Harmonic Distortion (THD). It is recommended that airlines prioritize GPU usage, and airport authorities expand Fixed Electrical Ground Power (FEGP) infrastructure to enhance energy efficiency and reduce operational costs.

The Effect Of Stator Excitation Current On The Driving Torque Of A Single-Phase “6/6” Switched Reluctance Generator Design With External Excitation

Gidion Simatupang, Parlin Siagian, Muhammad Erpandi Dalimunthe — Thu, 11 Sep 2025 10:52:57 +0700

Switched Reluctance Generators (SRGs) have attracted attention due to their robust construction, low cost, and high fault tolerance, suitable for extreme environments. However, SRGs suffer from torque ripple and acoustic noise due to the non-linear torque-excitation current relationship. Although SRG component optimization has been investigated, a gap exists in the analysis of the effect of stator excitation current on the drive torque in a single-phase "6/6" SRG design with external amplification. This study analyzes the impact of varying stator excitation current on the drive torque of a single-phase 6/6 SRG. The methodology includes design, finite element analysis (FEA), and testing of an initial drive torque prototype. Results show that increasing the stator coil supply voltage results in a greater magnetic force, which counteracts the mechanical torque on the rotor shaft. This understanding is crucial for optimizing torque performance, mitigating ripple, and improving SRG efficiency for future applications.

Blockchain Approach As A Digital Identity Security Solution In Banking Digital Transformation

Thu, 15 Jan 2026 08:49:24 +0700

Digital transformation in the banking sector requires stronger security in managing customers’ digital identities. Conventional centralized systems remain vulnerable to data breaches, identity fraud, and cyberattacks, highlighting the need for a more secure and decentralized approach. This study aims to examine the use of blockchain technology as an alternative solution to enhance digital identity security in digital banking systems using the Systematic Literature Review (SLR) method. This approach involves selecting and analyzing relevant scholarly articles to identify trends, challenges, and the effectiveness of blockchain implementation. The findings indicate that blockchain can improve the reliability and accuracy of digital identity data through cryptographic mechanisms, decentralized systems, and verification processes that do not rely on third parties. In addition, the use of smart contracts and Decentralized Identifiers (DID) strengthens authentication processes and reduces the risk of fraud. Therefore, blockchain has the potential to become a key foundation for building a secure, transparent, and trustworthy digital banking ecosystem, although clear regulations and adequate infrastructure readiness are still required for optimal implementation.

Implementation Of An Inventory System For A Conventional Wholesale Store Using The Codeigniter Framework

Naufal Yusron Wildan Ramadhan, Maryam Maryam — Thu, 15 Jan 2026 09:10:32 +0700

Toko Nor'In, a mid-range grocery store founded in 1999, operates as a wholesale outlet supplying necessities and staple foods, while also catering directly to consumers. The store provides delivery services to downlines or loyal customers within the Tengaran District area. Despite its operations, Toko Nor'In still relies on a manual stock recording system, which frequently leads to serious problems like data inaccuracies and low operational efficiency. Implementing a computerized system is a vital solution to lighten the workload of employees and provide significant benefits for the grocery business. The new inventory system was developed using the Waterfall method, a structured approach following four distinct stages: requirement definition, system design, implementation, and testing. This method ensures clear guidance and efficient management, guaranteeing a system that meets user expectations. The information system was constructed utilizing the PHP programming language, Visual Studio Code, and SQL. To verify its quality, the system underwent Black Box testing and System Usability Scale (SUS) testing. Black Box results confirmed the website's functionality works optimally. Furthermore, the system achieved a SUS score of 69, categorized as "Good," which affirms that it meets user standards for acceptability and ease of use.

Implementation Of Glcm And KNN Algorithms For Classification Of Real Faces And Screen Displays

Dian Novianto, Yohanes Setiawan Japriadi, Lukas Tommy, Sujono Sujono — Sat, 17 Jan 2026 15:01:54 +0700

The significance of image processing technology has grown tremendously in recent years, with its applications now encompassing various fields, including biometric sistems. A salient concern in the realm of biometric sistems pertains to the potential for face forgery through images exhibited on mobile device screens. The objective of this research is to develop a method for detecting skin texture that can differentiate between real human skin and skin displayed on a mobile device's interface. The proposed approach utilizes the Gray Level Co-occurrence Matrix (GLCM) to analyze the skin texture, while the K-Nearest Neighbor (KNN) algorithm is employed to differentiate between human skin and the screen. The GLCM operates through the extraction of texture features, including contrast, energy, homogeneity, and correlation, from grayscale images. These features are then trained and tested using the KNN algorithm to classify the image into the real skin or screen category. Then LBP (Local Binary Pattern) was added to see the micro texture which can help GLCM detect texture more accurately. The dataset under consideration in this study is comprised of a series of images depicting human skin, along with images of human skin displayed on a mobile phone screen. These images have undergone a series of processing steps, including preprocessing and feature normalization. The evaluation results demonstrate a classification accuracy rate of 90%, suggesting that the method is effective in identifying distinctive texture patterns between human skin and screen. This research also contributes to the development of biometric sistems, such as face-based attendance, which are designed to detect fraud, such as the use of fake faces from the screen.

Penerapan Teknologi Blokchain Untuk Kepercayaan Dan Transparansi: Systematic Literature Review

Sat, 17 Jan 2026 15:20:40 +0700

Penelitian ini bertujuan untuk menganalisis penerapan teknologi blockchain dalam meningkatkan kepercayaan dan transparansi di berbagai sektor, terutama E-Commerce, rantai pasok, dan sistem keuangan. Metode yang digunakan adalah Systematic Literature Review dengan mengacu pada pedoman PRISMA 2020. Sebanyak lima belas artikel dari jurnal terindeks SINTA dianalisis berdasarkan relevansi topik, kebaruan penelitian, serta kontribusinya terhadap penguatan tata kelola digital. Hasil penelitian menunjukkan bahwa teknologi blockchain mampu memperkuat kepercayaan antar pemangku kepentingan melalui pencatatan data yang tidak dapat diubah (immutable ledger) dan jejak audit yang transparan. Dalam sektor E-Commerce, blockchain meningkatkan keamanan data, melindungi privasi pengguna, serta mengurangi risiko penipuan transaksi. Pada rantai pasok, teknologi ini memungkinkan keterlacakan produk secara real time sehingga meningkatkan efisiensi dan keandalan distribusi. Sementara itu, dalam sistem keuangan, blockchain menekan potensi manipulasi laporan serta mempercepat proses audit. Namun, tantangan utama masih ditemukan, seperti kesiapan infrastruktur digital, biaya implementasi yang tinggi, serta ketidakpastian regulasi. Kajian ini menyimpulkan bahwa blockchain memiliki potensi besar sebagai fondasi kepercayaan digital di masa depan jika didukung oleh kebijakan adaptif, kolaborasi lintas sektor, dan peningkatan literasi teknologi

Application Of The K-Means Algorithm in Clustering Medical Records Of BPJS Participants At Bhayangkara Hospital In Bengkulu

Wahyu Rizki Rasuanto, Devi Sartika, Dimas Aulia Trianggana — Wed, 21 Jan 2026 20:50:33 +0700

Grouping is to separate labels from unknown data and grouping is expected to be able to identify data groups to then be labeled as desired. Cluster analysis is a multivariate analysis technique to find and organize information about variables so that they can be relatively grouped into homogeneous groups or "clusters" can be formed.The purpose of data clustering work can be divided into two, namely grouping for understanding and grouping for use. If the goal is for understanding, the formed groups must capture the natural structure of the data, usually the grouping process in this goal is only an initial process to then be continued with core work such as summarization (average, standard deviation), class labeling in each group to then be used as classification training data and so on. K-Means is one of the clustering algorithms included in the Unsupervised Learning group which is used to divide data into several groups with a partition system. This algorithm accepts input in the form of data without class labels. In the K-Means algorithm, the computer groups the data that is its input without first knowing the target class. The input received is data or objects and k desired groups (clusters).

Sistem Informasi Pelayanan Kesehatan Berbasis Web Di Puskesmas Sambi Dengan Laravel

Dwiki Reza Nova Alvianto, Ihsan Cahyo Utomo — Wed, 21 Jan 2026 20:51:23 +0700

Sambi Health Center is one of the first-level health care facilities that has an important role in providing basic medical services to the community. However, in its implementation, the service process is still carried out manually, especially in recording patient data, managing queues, and delivering information. This has an impact on low efficiency, potential data input errors, and delays in service. To answer these problems, this study developed a web-based health service information system using the Laravel framework. The system is designed to automate the service process, minimize errors, and speed up the workflow. The Model-View-Controller (MVC) architecture is used to separate logic and interface, making the system easier to develop and maintain. The test results using the blackbox method and System Usability Scale (SUS) obtained a score of 90.4 with the category "Best Imaginable". The system has proven effective in increasing the speed of service, ease of data access, and supporting the digitalization of health services in real time.

Decision Support System For Evaluating The Performance Of Medical Personnel At Klinik Pratama Alwid Baroqah Using Vikor Method

Wahyu Al-Amar, Herlina Latipa Sari, Prahasti Prahasti — Wed, 21 Jan 2026 22:15:50 +0700

Klinik Pratama Alwid Baroqah is one of the health clinics located in Bengkulu City. Until now, the evaluation of medical staff performance has not been systematic, making it difficult for the management of Klinik Pratama Alwid Baroqah to make appropriate decisions regarding recommendations for contract extensions, termination of employment, or employment relationships. The Decision Support System for Evaluating the Performance of Medical Staff at Klinik Pratama Alwid Baroqah using Vikor Method can serve as an alternative in decision-making for evaluating the performance of medical staff at the clinic and can assist in providing performance evaluations of medical staff at the clinic, thereby making the evaluation process more structured and systematic. This Decision Support System was developed using Visual Basic Net programming language with SQL Server database. From the test data used, involving 10 medical staff during the evaluation period from July to December 2023, the results showed that with a Vikor index value range of 0.000–0.750, 8 medical staff had their employment contracts extended, while with a Vikor index value range of 0.917–1.000, 2 medical staff did not have their employment contracts extended. Based on the system testing conducted, it can be concluded that the decision support system application for evaluating the performance of medical staff at the Klinik Pratama Alwid Baroqah has been functioning well and successfully implemented Vikor method on the performance evaluation data of medical staff according to the evaluation period and year, and displayed recommendation results for decision-making regarding each medical staff member.

Sistem Informasi Konsultasi Kesehatan Mental Santri Di Ponpes Djannatul Huda Berbasis Web Dengan Laravel

Ari Farah Furqon, Ihsan Nur Cahyo — Wed, 21 Jan 2026 22:16:27 +0700

Mental health is an important aspect that needs attention, especially in an Islamic boarding school environment that has high emotional and spiritual dynamics. However, the consultation system used is still manual and not well documented. This research aims to design and implement a web-based Student Mental Health Monitoring Consultation Information System (SiKonsul) at the Djannatul Huda Islamic Boarding School. The development method used is the Waterfall model with the stages of needs analysis, design, coding, testing, and maintenance. The system is developed using the Laravel framework, PHP programming language, and MySQL database, and is presented in the form of UML diagrams to facilitate system visualization. The test was carried out through Blackbox Testing and usability evaluation using the System Usability Scale (SUS). The test results of 32 respondents showed an average score of 86.25 which was classified as "Excellent", indicating that the system is very suitable for use and acceptance by users. Thus, SiKonsul is expected to be an effective digital solution in improving mental health consultation services in a sustainable manner in the pesantren environment.

Implementation Of The SAW Method In A Decision Support System To Determine The Best-Selling Products At Kz Allshop

Lidia Nur Hafiza, Hari Aspriyono, Prahasti Prahasti — Wed, 21 Jan 2026 22:17:06 +0700

The rapid development of the business world requires quick and precise decisions in determining the best-selling products to increase sales. KZ Allshop faces challenges in determining which products have the highest demand and should get more attention. For this reason, this research aims to implement the Simple Additive Weighting (SAW) method in a decision support system (SPK) to help determine the best-selling products. SAW method was chosen for its ability to give weights to various relevant criteria, such as price, quality, and number of sales. This research collects data from various products available in the store and calculates the preference value of each product based on predetermined criteria. The implementation results show that SAW method can effectively identify the best-selling products, which helps management in making more objective and data-driven decisions. Thus, the use of SAW method in this decision support system can be an effective solution in improving the efficiency of product management at KZ Allshop.

The Implementation Of Data Mining In Predicting The Number Of Marriages Using Least Squares Method At KUA Ulu Musi

Widian Sulistio, Maryaningsih Maryaningsih, Dimas Aulia Trianggana — Wed, 21 Jan 2026 22:17:42 +0700

KUA Ulu Musi Sub-district is one of KUA offices in Empat Lawang Regency that plays an important role in recording and facilitating marriage processes, including issuing permits, recording, and issuing related documents. Until now, data processing at KUA Ulu Musi has been done manually through data recording books, and the number of marriages is written on a board provided as information. Given that the number of marriages fluctuates annually from 2014 to 2023, KUA sometimes faces difficulties in ensuring the availability of documents, managing wedding queues, and preparing the necessary facilities. The implementation of data mining in predicting the number of marriages using the least squares method at KUA Ulu Musi can provide information regarding the predicted number of marriages for the following year, enabling KUA to prepare sufficient administrative staff and personnel to serve prospective couples optimally and avoid case backlogs during certain periods. Based on test data with two data conditions—odd numbers (2014–2022) and even numbers (2014–2023) the predicted number of marriages for 2023 was 166, and for 2024, it was 168. From the accuracy level testing, the accuracy level calculation yielded a MAPE error percentage of 18.43%, indicating good accuracy. This shows that the least squares method is sufficiently reliable in predicting the number of marriages at KUA Ulu Musi.

Expert System For Diagnosing Mental Disorders At Soeprapto Special Psychiatric Hospital Bengkulu Province Using The Forward Chaining Method

Ahmad Syukron Ali, Siswanto Siswanto, Jhoanne Fredricka — Wed, 21 Jan 2026 22:19:00 +0700

Expert systems are a branch of artificial intelligence designed to mimic the ability of an expert to make decisions or solve problems in a particular field. This study aims to develop a web-based expert system capable of performing diagnoses using the forward chaining method as an inference mechanism. This system is intended to help the public recognize specific problems, particularly in the field of health. Unfortunately, people often lack access to professional psychological services. This study aims to build web-based expert system that can help make an initial diagnosis of mental disorders using forward chaining method. This system is designed to collect symptoms from users, process them using a rule base determined by experts, and provide automatic diagnosis results. In its development, the system uses the PHP programming language and MySQL database to store symptom data, disease information, and consultation results. The inference process is conducted sequentially (forward chaining) based on the symptoms selected by the user until a conclusion is reached regarding the type of mental disorder and its likelihood. Testing results indicate that the system can provide reasonably accurate results in identifying users' mental conditions based on the symptoms entered. This system is expected to serve as a useful initial consultation tool, particularly in communities with limited access to mental health services. However, this system is not intended to replace the role of professionals but rather as a form of technological support to aid in early detection.

Sistem Informasi Pemasaran Produk Batik Di Rama Mukti Solo Berbasis Web

Alfian Alief Nurrohman, Azizah Fatmawati — Wed, 21 Jan 2026 22:20:02 +0700

Micro, Small, and Medium Enterprises (MSMEs) play a very important role in the Indonesian economy. Not only do they create jobs, but they also contribute to inclusive economic growth. There many types of MSMEs in Indonesia, with batik businesses being among the more prominent. Batik Rama Mukti still faces obstacles in product marketing, specifically relying on manual sales through offline stores and lacking awareness about benefits of digital marketing. This study aims to build an information system Batik Rama Mukti’s product marketing to support the development of a digital MSME. The research methodology uses the software development life cycle with the waterfall method, which includes several stages: requirements analysis, system design, implementation, testing, and maintenance. This system is also built using the PHP programming language with the Laravel framework and database management with MySQL. Additionally, Black Box testing and the System Usability Scale (SUS) are conducted. Based on the Black Box testing, the system is functioning well and as expected. The SUS testing resulted in a score of 78.9, which falls into the good category. The results of this information system can facilitate both buyers and administrators in accessing it.

Group Decision Support System for Selecting Student Study Concentrations Using TOPSIS

Muhammad Baluqiah Al Ghazali, Indra Kanedi, Devi Sartika — Wed, 21 Jan 2026 22:20:34 +0700

The use of GDSS in concentration selection using TOPSIS method offers a systematic and data-driven approach to group decision-making. This enables more informed decisions that are widely accepted by all group members, thereby enhancing satisfaction and achieving better outcomes. This new system will be designed to be web-based using PHP and MySQL with computerized programs. Based on the results of the design, implementation, and testing of Group Decision Support System (GDSS) for selecting student concentrations using TOPSIS method, the following conclusions can be drawn: 1.GDSS system that was developed successfully helped the process of selecting student study concentrations objectively and efficiently. By considering various criteria (academic grades, student interests, lecturer recommendations, job opportunities, facilities), the system was able to recommend the right concentration choices. 2.TOPSIS method proved to be effective in calculating concentration alternatives based on the principle of distance from positive and negative ideal solutions. 3.The use of the system accelerates the decision-making process. The average time required to determine a concentration has decreased drastically from approximately 1–2 days (manually) to less than 20 minutes with the system's assistance. 4.The implementation of a web-based GDSS makes the system more flexible and easily accessible to all parties involved, including faculty, students, and administrators

Sistem Informasi Administrasi Keuangan Kencleng Masjid Akbar Guli Lor Berbasis Web

Rifan Ardyansyah, Khanun Roisatul Ummah — Wed, 21 Jan 2026 22:21:05 +0700

Masjid Akbar Guli Lor functions as a center for religious and social activities within the community. However, its kencleng (charity box) program faces challenges in financial administration, including inaccurate reports and poorly recorded congregation data. This study aims to develop an integrated financial administration information system for the kencleng program to improve accessibility and transparency of donation funds. The method used is the System Development Life Cycle (SDLC) with a waterfall model approach, consisting of requirement analysis, design, implementation, testing, and maintenance phases. The system is built using the PHP programming language with the Laravel framework. Testing was conducted using black box and System Usability Scale (SUS) methods. The black box testing results show that all system functions operate according to the design. Meanwhile, the SUS test involving 30 respondents recorded an average score of 77,25, which falls under the "Good" category, indicating a high level of usability. Thus, the information system successfully assists the management of Masjid Akbar Guli Lor in managing kencleng finances in a more structured, transparent, and accessible manner, thereby enhancing congregational trust in giving infaq (charity).

Rancang Bangun Aplikasi Kesehatan Mental Untuk Remaja Di Indonesia Berbasis Android

Dissa Aulia, Khanun Roisatul Ummah — Wed, 21 Jan 2026 22:21:35 +0700

Specialized treatment is essential to address the mental health challenges faced by Indonesian adolescents. Adolescents are often reluctant to seek professional help due to societal expectations, the transition from childhood to adulthood, and negative perceptions of mental health issues. The results of the 2022 I-NAMHS survey show that 34.9% of Indonesian adolescents experience symptoms of mental disorders, and 5.5% experience severe mental illness. To address this issue, an Android-based mental health solution information system called “Rileksin” has been developed. This application provides key features such as a user Mood tracker, relaxation music, breathing relaxation, positive visualization relaxation, stretching relaxation, articles, journaling , and a mission and reward system to increase user engagement. The “Rileksin” app offers safe and anonymous mental health support through Android devices. The system was developed using Android Studio with a database created on Firebase. For teenagers, this application provides meditation tools and direct access to information about mental health. The “Rileksin” application uses the waterfall system development method, which consists of the following stages: requirements analysis, system design, implementation, testing, evaluation, and maintenance. Based on the results of testing using the Black Box Testing method on the Relaksin app, it can be concluded that all the main features are working well and in accordance with the specified requirements. In addition, usability testing using the System Usability Scale (SUS) method obtained an average score of 83, which indicates that the app is in the excellent category and is easy to use for users.

Sistem Informasi Buku Tamu Di Sekretariat DPRD Kabupaten Minahasa Berbasis Web Dengan Metode Prototype

Syalomita Cinta, Gladly Caren Rorimpandey — Sun, 25 Jan 2026 22:09:08 +0700

The Secretariat of the Regional House of Representatives (DPRD) of Minahasa Regency currently still uses a traditional method for recording guest book entries, namely manually using paper. This method leads to several issues, such as inefficiency in data retrieval, the risk of information loss, and difficulty in summarizing visit data. To address these issues, a web-based guest book information system was developed using the prototype software development method. This method was chosen because it allows the system to be developed incrementally with active user participation during the design and evaluation stages. The designed system includes key features such as digital guest data entry, the ability to search for data based on specific criteria, and automatic generation of visit reports. Testing results show that this system can simplify the process of recording and managing guest data at the DPRD Secretariat of Minahasa Regency. With the implementation of this system, it is expected that there will be a significant improvement in work efficiency and data accuracy.

Web-Based Incoming And Outgoing Mail Information System As An Effort To Optimize Administration At The Secretariat Of The Regional House Of Representatives (DPRD) Of Minahasa Regency Using The Prototype Method

Brandon Natanael Gerungan, Gladly Caren Rorimpandey — Sun, 25 Jan 2026 22:09:33 +0700

Correspondence administration is one of the key aspects in supporting the smooth functioning of bureaucracy in government institutions, including at the Secretariat of the Regional House of Representatives (DPRD) of Minahasa Regency. The current manual management of incoming and outgoing letters often leads to various issues, such as delays in recording, data entry errors, and difficulties in retrieving archived correspondence. Therefore, this study aims to design and develop a web-based information system for managing incoming and outgoing letters to optimize administrative processes within the DPRD Secretariat. The system development follows the prototype method, which allows users to provide direct feedback on the initial system model for iterative improvements. The result of this research is a web-based application that facilitates effective and efficient recording, archiving, searching, and reporting of correspondence. With the implementation of this system, it is expected that the letter administration process at the Secretariat of the DPRD Minahasa Regency will become faster, more accurate, and well-documented.

Implementation And Management Of Captive Portal-Based Wireless Network At Smk Negeri 06 Kaur

Rohanita Rohanita, Toibah Umi Kalsum, Hendri Alamsyah — Sun, 25 Jan 2026 22:10:58 +0700

The computer network at SMK Negeri 06 Kaur is currently connected to the internet. However, the utilization of LAN network, especially the internet, at SMK Negeri 06 Kaur is not yet optimal, as there are still frequent network disruptions such as slow connections and a large amount of inappropriate content being accessed. This study aims to implement wireless network management based on a captive portal at SMK Negeri 06 Kaur. The study employs the Network Development Lite Cycle (NDLC) method. The implementation of captive portal-based network management is expected to improve network performance, enabling users at SMK Negeri 06 Kaur to access the network using a single username on a single device, with bandwidth allocation based on account profiles, and bandwidth management conducted via profiles connected to a simple queue. After implementing captive portal-based network management at SMK Negeri 06 Kaur, the network operates stably and effectively, with results including network speed limits and usage time limits.

Designing A Computer Network At Sman 10 Kota Bengkulu With Bandwidth Management Web-Based Computer Network And Hybrid Topology

Poppy Septea Utami, Toibah Umi Kalsum, Yessi Mardiana — Sun, 25 Jan 2026 00:00:00 +0700

The computer network at SMAN 10 Kota Bengkulu is currently connected to the internet network, the utilization of the LAN network, especially the internet at SMAN 10 Kota Bengkulu has not been maximized, because there are still frequent network disruptions such as slow networks that cause many sites that cannot be opened when many users. This study aims to conduct web-based bandwidth management using Mikrotik at SMAN 10 Kota Bengkulu. The study used an experimental method. With the existence of Mikrotik-based network management, it is expected to smooth the network. So that the benefits of the network can be felt by users of SMAN 10 Kota Bengkulu. Bandwidth management at SMA N 04 Kota Bengkulu can be done via the web, with one user name only being able to access the network on one device, bandwidth management with this web will produce an account according to the account profile, bandwidth management is done using the web. After managing bandwidth using a Mikrotik-based web at SMAN 10 Bengkulu City, the network can run stably and well, namely with throughput results = 4.06, Average delay = 0.648, jitter = 0.018 and Packet Lost = 0%.

Adoption of Cyber Security Maturity Framework for Data Protection in Higher Education

Raden Mochammad Fazri — Sun, 25 Jan 2026 22:12:07 +0700

Information security has become a top priority in higher education environments due to the increasing risks of cyber threats. The National Cyber and Crypto Agency (BSSN) developed Cyber Security Maturity (CSM) version 1.10 as an instrument for assessing cybersecurity maturity, covering five main domains: Governance, Identification, Protection, Detection, and Response. This study aims to explore the implementation of CSM BSSN in Indonesian higher education institutions and identify implementation challenges due to limited IT human resources and funding support. The research employs a qualitative descriptive methodology with a thematic analysis approach. Data collection techniques include in-depth interviews with key informants at one of the Private Universites in Indonesia (disguised as Alpha University) and literature studies from scholarly articles on the implementation of various information security frameworks such as Indeks KAMI, ISO 27001:2013, NIST, and COBIT in higher education. The findings indicate that limitations in IT human resources and funding are the main challenges in implementing CSM BSSN, particularly in the Governance, Protection, and Response domains. This study provides practical recommendations for higher education institutions to adopt CSM BSSN, including strategies for optimizing IT human resources and funding management.

The Implementation Of Mamdani Fuzzy Inference In Expert System For Diagnosing Hyperthyroid Disease

Rinaldi Rinaldi, Masterjon Masterjon, Jhoanne Fredricka — Sun, 25 Jan 2026 22:12:26 +0700

Hyperthyroid disease is a type of cancer in which cancer cells multiply in the thyroid issue. Diagnosis of hyperthyroid disease is difficult because the symptoms of thyroid disease can vary depending on the rise and fall of thyroid hormones which inscrease the use of oxygen by body cells. However, the limited number of doctors in handling this disease make it difficult for user to consult directly about this hyperthyroid disease. So to overcome this problem, an expert system is needed to diagnose thyroid disease based on patient clinical data online to help patients or the public to consult independently. This expert system use fuzzy mamdani Method using PHP programming language and MySQL database. The result of expert system can provide convenience for useer to diagnose early hyperthyroid disease.

Implementasi Metode Topsis Dalam Memberikan Rekomendasi Tailor Di Kota Bengkulu

M. Endri Hardinata, Liza Yulianti, Dimas Aulia Trianggana — Sun, 25 Jan 2026 22:13:45 +0700

The general public requires high-quality tailoring services that are fast and within their budget. However, many consumers still struggle to choose the right tailor due to a lack of objective information about quality, price, and services offered. The implementation of the TOPSIS method in providing tailor recommendations in Bengkulu City can offer the best tailor recommendations in Bengkulu City based on consumer criteria such as price, facilities, and turnaround time, as well as provide information on each tailor in Bengkulu City, including address, contact number, operating hours, facilities, and prices. To facilitate the implementation of the TOPSIS method, a web-based application was developed using the PHP programming language with a MySQL database. The application for implementing the TOPSIS method in providing tailor recommendations in Bengkulu City can be accessed online via the URL link http://tailorkotabengkulu.online/. Based on the system testing conducted, it can be concluded that the application for implementing the TOPSIS method in providing tailor recommendations in Bengkulu City has functioned well as expected and is capable of providing tailor recommendations that align with consumer preferences.

Expert System For Early Detection Of Attention Deficit Hyperactive Disorder (ADHD) At Soeprapto Psychiatric Hospital Using The Certainty Factor Method

Aprilia Dwi Gumay, Herlina Latipa Sari, Ila Yati Beti — Sun, 25 Jan 2026 00:00:00 +0700

ADHD (Attention Deficit Hyperactive Disorder) is a mental disorder that causes children to have difficulty concentrating, as well as impulsive and hyperactive behavior. ADHD generally appears in children under 12 years of age, but ADHD that occurs in children can be carried into adulthood. This condition can impact a child's achievement if not treated early. Soeprapto Mental Hospital is one of the specialized hospitals that provides facilities and infrastructure in mental health and drug services for the community in Bengkulu Province. Based on the results of observations conducted at Soeprapto Mental Hospital Bengkulu, an average of 2-5 children per month are found to experience ADHD. One way to diagnose this disorder is to consult with an expert. The Expert System for Early Detection of Attention Deficit Hyperactive Disorder (ADHD) at Soeprapto Mental Hospital Using the Certainty Factor Method was created using the PHP programming language and MySQL database, and can be accessed online through the link https://adhdrsjksoepraptobkl.online/. This expert system for early detection of Attention Deficit Hyperactive Disorder (ADHD) can help the public, especially in Bengkulu Province, to consult by entering the patient's symptoms to obtain information on early detection of Attention Deficit Hyperactive Disorder. Based on testing conducted using the black box method both offline and online, it was found that the application's functionality ran well in terms of input, output, and the applied CF method. From the results of alpha testing conducted at Soeprapto Mental Hospital, it can be concluded that this expert system application can be a solution in the process of early identification of ADHD symptoms so that it can be used as a further consideration and faster intervention.

Game Edukasi Berbasis Augmented Reality untuk Mengajarkan Konsep Geometri Pada Siswa SD Menggunakan Unity 3D

Muhammad Devano Danendra Hansfawwazi Al-Ghifari, Endah Sudarmilah — Sun, 25 Jan 2026 22:14:35 +0700

Mathematics, particularly geometry, is often considered difficult to understand by elementary school students due to its abstract nature and the high level of spatial visualization it requires. The low interest of students in learning mathematics indicates the need for more innovative and enjoyable learning approaches. This study aims to develop a learning medium based on Augmented Reality (AR) in the form of an educational adventure game to help students understand geometric concepts visually and interactively. AR technology was chosen for its ability to display three-dimensional objects in the real world, thereby enhancing students' spatial understanding. The application integrates elements of a 2D platformer game and interactive quizzes aligned with the Kurikulum Merdeka, and is intended for students in grades IV to VI of elementary school. Enemy characters are designed to resemble geometric shapes to make it easier for students to recognize the forms in a fun way. The AR feature enables 3D visualization of the shapes, complete with names and formulas. The development process follows the Game Development Life Cycle (GDLC), consisting of six stages: initiation, pre-production, production, testing, beta, and release. Black-box testing showed that all 24 features and buttons functioned as expected, achieving a 100% success rate. Usability evaluation was conducted using the System Usability Scale (SUS) questionnaire involving 26 students from MI MPK Kertonatan, resulting in an average score of 69.61. This score falls into the marginal - high category (Grade D) and was rated ok by the users. This AR-based learning media is considered feasible to use and has the potential to enhance students’ interest and understanding of geometric concepts interactively.

Analysis And Implementation Of Wireless Lan Authentification Using Php And Mysql Api At Adeeva Hotel

Revaldi Mirza Pratama, Indra Kanedi, Ahmad Fikri Sallaby — Sun, 25 Jan 2026 22:15:02 +0700

Hotel Adeeva is one of the hotels in Bengkulu City that provides various services, such as room rental, meeting money rental, party money rental, restaurant and others. The computer network at Hotel Adeeva Bengkulu City is currently connected to the internet network, the utilization of the LAN network, especially the internet at Hotel Adeeva Bengkulu City is not optimal, because it is still used for staff and employees, while guests cannot enjoy it. This study aims to implement wireless LAN authentication using the PHP API at Hotel Adeeva Bengkulu City. The study uses a quantitative experimental method. With the existence of a wireless LAN authentication system using the PHP API, it is hoped that the LAN network, especially the internet, can be enjoyed by all (staff, employees and guests). So that it adds value to the services at Hotel Adeeva. The Wireless LAN authentication system based on the PHP API uses the Mikhmon application, so that it can manage users in terms of bandwidth, users and active duration

Pengembangan Portal Web untuk Pengelolaan Informasi Publik Badan Usaha Milik Desa (BUMDes) Wonorejo

Andhika Putra Wardana, Fatah Yasin Al Irsyadi — Sun, 25 Jan 2026 23:56:54 +0700

Village-Owned Enterprises (BUMDes) play a vital role in improving community welfare through independent and professional village business management. One potential service is the provision of village internet, which supports digital transformation and information transparency. However, Wonorejo BUMDes still faces obstacles in managing these services, such as the ordering process and payment verification that have not been digitized. This study aims to design a web-based village internet service information system to improve transparency, efficiency, and public access to information. The system was developed using the Waterfall method, through the stages of needs analysis, design, implementation, testing, and evaluation and maintenance. The system was developed using the Laravel framework and tested using the Black Box Testing approach using 18 test scenarios (test cases), as well as the System Usability Scale (SUS) evaluation which produced a score of 77.44, which is included in the "acceptable" category and reflects user satisfaction. The results of the study indicate that the developed system is able to meet user needs and encourage active community participation in monitoring and improving the quality of BUMDes services.

Sistem Informasi Pengolahan Data Perpustakaan Sekolah Smk Negeri 5 Kota Bengkulu

Amanda Olivia Firasti, Achmad Fikri Sallaby, Venny Novita Sari — Sun, 25 Jan 2026 23:57:50 +0700

School libraries play an important role in supporting the learning process, but library data management at SMK Negeri 5 Bengkulu City is still done manually. This situation leads to various issues, such as slow administrative processes, risks of data errors, and difficulties in tracking book inventory and loan activities. To address these issues, this study aims to develop a web-based Library Data Processing Information System using PHP programming language and MySQL database. The research method used is the Software Development Life Cycle (SDLC) with a Waterfall approach, consisting of the following stages: requirements analysis, system design, coding, testing, and implementation. The system is designed to facilitate administrators in managing book data, member information, borrowing, and returns, as well as generating reports automatically. System testing was conducted using the Black Box method, which demonstrated that all features function properly according to user needs. The result of this research is an information system that can improve the efficiency and accuracy of library management, reduce manual errors, and simplify the report generation process. Thus, this system is expected to be a solution to library management problems at SMK Negeri 5 Bengkulu City and serve as a reference for the development of similar systems in the future.

Pengolahan Sistem Informasi Status Gizi Buruk Pada Puskesmas Kota Manna

Henokh Holian Saputra, Asnawati Asnawati, Ricky Zulfiandry — Sun, 25 Jan 2026 23:58:39 +0700

Community Health Centers (Puskesmas) play a crucial role in delivering primary health services, including the monitoring and management of malnutrition. Malnutrition remains a critical issue affecting child health and development, especially in vulnerable regions. This study aims to design and implement a web-based Malnutrition Information System at Puskesmas Kota Manna to improve the efficiency and accuracy of nutrition data management. The system is developed using the Waterfall methodology and utilizes PHP and MySQL as core technologies. Through this system, data recording, reporting, and analysis of malnutrition cases are carried out in a more structured and integrated manner. The implementation results show that the system helps healthcare workers monitor child nutritional status, accelerate decision-making processes, and reduce data entry errors. The study recommends user training and infrastructure improvement to ensure the system's optimal adoption across various healthcare areas.

Website Design For Sdit Insan Madani, Bengkulu City

Rupawan Azzahra, Indra Kanedi, Venny Novita Sari — Sun, 25 Jan 2026 23:59:36 +0700

The rapid advancement of information and communication technology has encouraged various sectors, including education, to adapt in terms of information dissemination. SDIT Insan Madani of Bengkulu City, as an Islamic educational institution, still faces obstacles in promotion and information dissemination, which has so far been done manually. Therefore, this study aims to design and develop a school website as an effective and efficient medium for information and promotion. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance. The website was developed using PHP as the programming language and MySQL as the database. The main features of this website include registration information, school activities, student achievements, subject data, and school agendas. The result of this study is an online-accessible school website that helps the institution deliver information quickly, accurately, and efficiently. It is expected that the system will improve the quality of information services and support the school's digital promotion efforts.

Implementation Of E-Commerce At Mega Komputer Store Using The Crm Method

Tiara Pramuni Suci, Venny Novita S Sari, Ricky Zulfiandry — Mon, 26 Jan 2026 00:00:45 +0700

The development of information technology has driven the transformation of conventional businesses toward digital systems, one of which is through the implementation of e-commerce. Mega Komputer, as a provider of computer products, faces challenges in improving customer loyalty and service effectiveness. This study aims to implement an e-commerce system integrated with Customer Relationship Management (CRM) methods to enhance service quality, strengthen customer relationships, and increase sales. The research method used is a case study with a CRM system implementation approach in Mega Komputer store’s e-commerce platform. Data was obtained through observation, interviews, and documentation. The results show that the implementation of CRM-based e-commerce can improve customer interaction and satisfaction through more effective customer data management, service personalization, and more intensive communication. Additionally, this system assists the store in customer segmentation and targeted marketing strategies. Thus, the implementation of e-commerce using CRM methods significantly contributes to improve the business performance of Mega Komputer Store in the digital era.

Population Data Information System In Rantau Kadam Village

Intan Mayang Sari, Khairil Khairil, Ricky Zulfiandry — Mon, 26 Jan 2026 00:01:31 +0700

The development of information technology is essentially aimed at making it easier for communities to access accurate information. In the context of village administrative governance, manual population data management often causes various issues such as recording errors and inefficiency. This study aims to design and develop a web-based population information system using the waterfall development method, which includes requirement analysis, system design, implementation, testing, and maintenance. The system is built using PHP programming language, MySQL database, Visual Studio Code editor, and XAMPP server. The result shows that data recording processes become faster, more accurate, and less prone to duplication. The developed website, https://kantordesarantaukadam.online, allows population services to be efficiently performed and accessed online by village officials and residents. Hence, the system improves the quality of public services and supports the digitalization of village administrative processes.

Interaksi Simbolik Pada Grup Telegram Komunitas Stop Judi Online

Imam Budianto, Frengki Napitupulu — Mon, 26 Jan 2026 00:02:21 +0700

The rise of online gambling in Indonesia has led to a serious addiction crisis, exposing the limitations of formal institutions in addressing the issue. This study explores symbolic interaction in the “Stop Judi Online” Telegram community and examines how members form new identities through these interactions. Using a qualitative netnographic approach under an interpretive phenomenological paradigm and symbolic interactionism theory, data were collected via participant observation, in-depth interviews, and digital documentation from members. Analysis involved triangulation and staged coding. The community has developed its own symbolic system with terms like “day-1,” “kapok,” and “reset,” which signal identity transformation. Member narratives follow a recurring three-phase cycle: fall, turning point, and recovery serving as a symbolic rehabilitation blueprint. Telegram’s anonymity enables a safe space for honest self-reconstruction. Symbolic interaction fosters identity change through shared meanings. The study suggests integrating this model into formal rehabilitation by adopting anonymity and peer-driven participation.

Penerapan Computer Vision Untuk Klasifikasi Penyakit Mata Menggunakan Arsitektur Vision Transformers Pada Citra Fundus

Indra Yustiana, Irvan Yudistiansyah, M. Ikhsan Thohir — Mon, 26 Jan 2026 00:03:14 +0700

Eye diseases such as cataracts, glaucoma, and diabetic retinopathy are leading causes of blindness that can be prevented if detected early. This study aims to develop an eye disease classification system using a vision transformer architecture using fundus images. The data used consisted of 4,028 fundus images evenly divided into four classes: cataracts, glaucoma, diabetic retinopathy, and normal. The vision transformer model underwent preprocessing, augmentation, fine-tuning, and evaluation using metrics such as accuracy, precision, recall, and f1-score. Test results showed that the vision transformer model was able to classify eye diseases with high accuracy and stable performance across all classes. This model was also able to effectively recognize the characteristics of each disease, demonstrating the superiority of the vision transformer in understanding the global visual context of medical images.This study suggests that the vision transformer can be effectively used in an automated eye disease detection system using fundus images, although further optimization is still needed for use with devices with limited resources. This system is expected to facilitate early detection and reduce the workload of medical personnel.

Optimizing Multi-Class Imbalance in Employee Attrition Prediction Using Non-dominated Sorting Genetic Algorithm II with Fairness-Driven Fitness Function

Erick Yoga Res Hendra, Ridwan Mahenra — Mon, 26 Jan 2026 00:04:01 +0700

Class imbalance in multi-class employee attrition prediction is a major challenge in human resource analytics, causing bias towards the majority class and poor performance on the minority class. This study proposes a multi-objective genetic algorithm (GA) framework using NSGA-II to address multi-class imbalance in the IBM HR Analytics Employee Attrition & Performance dataset. By optimising precision, recall, and fairness (normalised Demographic Parity Difference), this framework generates synthetic samples for minority classes (Resign, Retire_Termination) through two-class adaptive clustering and a weighted fitness function (β=0.3). Experiments were conducted with the XGBoost classifier, comparing GA with the SMOTE baseline. Results show that GA achieves a macro F1-score of 0.65 ± 0.02, surpassing SMOTE (0.56 ± 0.03), with significant improvements in Resign (F1-score 0.59 vs. 0.51) and Retire_Termination (F1-score 0.42 vs. 0.24). The fairness value of GA (0.82 ± 0.02) was higher than that of SMOTE (0.75 ± 0.03), indicating fairer predictions. Visualisation of the Pareto front and convergence of GA illustrates the trade-off between objectives and algorithm robustness. Key contributions include a GA framework that integrates fairness, advantages over SMOTE, and flexibility for HR applications.

Gold Price Prediction Based On Long Short-Term Memory (LSTM) For Investment Decision-Making

Indra Yustiana, Siti Khoerunisa, M. Ikhsan Thohir — Mon, 26 Jan 2026 00:04:58 +0700

The movement of gold prices serves as a critical indicator in investment decision-making, especially in dynamic and uncertain market conditions. This study aims to develop a gold price prediction model based on Long Short-Term Memory (LSTM), a type of Recurrent Neural Network (RNN) capable of capturing temporal patterns in historical price data. The goal of implementing this model is to generate more accurate predictions compared to conventional methods, thereby supporting more informed investment decisions. The research utilizes daily gold price data over a specific period, combined with other economic indicators such as oil prices, exchange rates, and interest rates. The data undergoes preprocessing steps, including normalization and division into training, validation, and testing sets. The proposed model architecture consists of a single LSTM layer with 64 neurons and an output layer, trained over 50 epochs with a batch size of 32. The results show that the LSTM model achieves high prediction accuracy. This is demonstrated by evaluation metrics including a Mean Absolute Error (MAE) of 26.12, Mean Squared Error (MSE) of 1269.15, Root Mean Squared Error (RMSE) of 35.63, and an R² score of 0.9858, indicating that the model can explain 98.58% of the variance in actual gold price data. Furthermore, the visualization of the results indicates that the model is capable of closely following gold price trends and consistently predicting upward price movements over the next 30 days. The model has also been successfully implemented into a web-based platform using TensorFlow.js, enabling users to access real-time predictions in an efficient and responsive manner.

The Application Of Data Mining To Find Out The Level Of Poverty In Padang Kuas Village Using The K-Means Clustering Method

Lili Purnama Sari, Maryaningsih Maryaningsih, Lena Elfianty — Tue, 27 Jan 2026 19:24:25 +0700

Poverty is one of the complex social problems and is the main focus of development in many areas that affect various aspects of people's lives, especially in rural areas. Padang Kuas Village is one of the villages in Seluma Regency in Bengkulu Province. Based on test data of 88 residents of Padang Kuas Village in 2023, the results of the Cluster C1 data grouping (very poor group) consisting of 27 population data, Cluster C2 (poor group) consisting of 36 population data, Cluster C3 (almost poor group) consisting of 1 population data, and Cluster C4 (vulnerable poor group) consisting of 24 population data. Based on the system testing that has been carried out, it can be concluded that the Village Office can find out the level of poverty which has been divided into 4 groups, and the application is quite helpful in identifying residents who fall into groups according to the level of poverty.

Application Of Fuzzy Algorithm In Decision Making On Honorary Signs

Farhaan Fadhlurrahman, Asnawati Asnawati, Devi Sartika — Tue, 27 Jan 2026 21:39:11 +0700

Decision support system is an information generating system aimed at a particular problem that must be solved by the manager and assists the manager in decision making. Making a decision with many criteria requires a special handling method, especially if the criteria for making a model before the decision is taken. The SMART method is more often used because of its simplicity in responding to the needs of decision makers and analyzing responses. So the formulation of the problem in this study is how to implement the smart method of making honorary decisions. With the aim as comparative data in making decisions on honorary signs for members of the Indonesian National Police, Bengkulu Region. It is hoped that this application will always be up to date so that this application follows the development of Android-based technology with the flutter framework by utilizing the smart algorithm.

Strategi Komunikasi Pengelolaan Sampah di Kota Ambon: Perspektif SCCT dan Konstruksi Sosial

Christ J. Belseran, Ridzki Rinanto Sigit — Tue, 27 Jan 2026 21:39:59 +0700

This study aims to analyze the waste management communication strategy by the Ambon City government using the Situational Crisis Communication Theory (SCCT) and the Social Construction Theory. This research employed a qualitative case study approach in the riverbank areas of Way Batu Merah and Way Ruhu Galala. The results show that the behavior of disposing waste into the river is a long-standing social construction reinforced by weak infrastructure and public communication. The government’s communication strategy still relies heavily on bolstering and diminishing approaches, while rebuilding and attenuating are not yet optimal. The study recommends integrating the Theory of Planned Behavior (TPB) to understand community behavioral tendencies better and to develop culturally rooted public communication strategies.

Analysis Of The Accuracy Of The Naive Bayes Algorithm In Classifying The Quality Of Malang Manalagi Apples

Arif Permana, Yuza Reswan — Tue, 27 Jan 2026 21:40:36 +0700

Apples are one of the most popular fruits in Indonesia and around the world. Manalagi apples, originating from the city of Malang in East Java, are renowned for their unique taste and quality. In the fruit distribution and trade channels, determining apple quality quickly and accurately is crucial, especially to ensure the quality of the product received by consumers. However, the current apple quality assessment method is still manual and relies on visual observation by individuals, making it susceptible to subjectivity, fatigue, and errors in assessment. thus prone to subjectivity and inconsistency. To overcome this, this study developed a naive Bayes algorithm accuracy analysis system in classifying the quality of Malang Manalagi apples. The system was built on the MATLAB platform with an interactive graphical interface, and utilizes color feature extraction (Rmean, Gmean, Bmean), texture (GLCM), and image statistical features such as entropy, smoothness, skewness, and intensity. This method enables automatic and accurate classification of fresh and rotten apples. This research is expected to be a supporting solution in the process of assessing fruit quality more efficiently and objectively, and applicable to the needs of the agricultural industry.

Data-Based Health Insurance Premium Modeling at KUD Tirta Kencana Using a Machine Learning Approach

Sukardi Sukardi, Syafri Arlis — Tue, 27 Jan 2026 21:41:11 +0700

The Village Unit Cooperative (KUD) plays a strategic role in improving the economic welfare of rural communities. However, attention to the health aspects of members is often not a priority. This study aims to analyze the health insurance costs required by members of the Tirta Kencana KUD in Kuantan Singingi District using a data-based approach and predictive modeling. The methods used include collecting membership and health claim data, processing the data using Principal Component Analysis (PCA), and applying predictive algorithms to estimate ideal and sustainable insurance costs. The analysis results indicate a significant correlation between age, membership status, and health history with the amount of premiums that should be covered. The predictive model successfully identified the optimal premium scheme with a predictive accuracy of 92%. These findings are expected to serve as a basis for policy-making in planning more efficient and equitable cooperative-based insurance. This research also opens opportunities for the application of data science in optimizing community-based microhealth systems.

Automated Medical Classification of Human Brain Tumors Leveraging the Xception Convolutional Neural Network

Bambang Supperianto, Syafri Arlis — Tue, 27 Jan 2026 21:41:50 +0700

Brain tumors are among the most critical neurological disorders, marked by abnormal cell proliferation within the brain, either benign or malignant,adversely impacting cognitive, motor, and overall patient quality of life.Accurate and prompt diagnosis is pivotal for determining effective treatment and improving survival outcomes. While Magnetic Resonance Imaging (MIRI) remains the standard diagnostic tool due to its high soft-tissue contrast, manual interpretation is labor-intensive, expertise-dependent, and subject to observer bias. Consequently, deep learning approaches, particularly Convolutional Neural Networks (CNN), have garnered considerable attention for automating brain tumor classification with superior efficiency and accuracy. This study presents a medical classification model for human brain tumors based on the Xception CNN architecture. The model was developed using a publicly available MRI dataset comprising 2,875 images categorized into glioma, meningioma, and pituitary tumor classes. Preprocessing involved resizing, normalization, and data augmentation. The model was initialized with ImageNet weights and fine-tuned for the three-class classification task with softmax activation.The proposed model achieved robust performance, recording test accuracy of 98.4% and an average F1-score of 98.5%, indicating balanced precision and recall. Confusion matrix and error analysis revealed minimal and evenly distributed misclassifications, while training dynamics showed rapid convergence with no significant overfitting.These findings demonstrate the effectiveness and clinical feasibility of the Xception CNN for automated brain tumor diagnosis. Future research should validate the approach on larger, multi-institutional datasets and integrate interpretability techniques to strengthen clinical applicability.

Expert System for Diagnosing Mental Disorders at Soeprapto Psychiatric Hospital in Bengkulu Province Using Forward Chaining Method

Ahmad Syukron Ali, Siswanto Siswanto, Jhoanne Fredricka — Tue, 27 Jan 2026 21:42:43 +0700

Implementation Of Htb And Cacti Methods For Bandwidth Allocation And Network Monitoring At SMA N 2 Bengkulu City

Oki Zainal Abidin, Hari Aspriyono, Abdussalam Al Akbar — Tue, 27 Jan 2026 21:43:11 +0700

SMAN 2 Bengkulu City is one of the senior high schools that has utilized computer networks to support teaching and learning activities, particularly in its computer laboratory. However, problems arise due to the absence of a system that can fairly distribute bandwidth and monitor connected devices. This study aims to implement the Hierarchical Token Bucket (HTB) method for bandwidth allocation and employ Cacti as an open-source network monitoring tool. HTB enables proportional bandwidth distribution by determining network usage priorities, while Cacti monitors devices based on IP addresses and presents the network conditions (active/inactive) in graphical form. The results indicate that the application of HTB improves the fairness of bandwidth distribution, while Cacti provides real-time information about network conditions, thereby supporting administrators in effectively managing the school’s network.

Application Of The K-Medoid Method In Clustering Population Data By Subdistrict At The Population And Civil Registration Office Of Central Bengkulu Regency

Reza Vebriansyah, Yupianti Yupianti, Fahrul Ikram Nizar — Tue, 27 Jan 2026 21:43:54 +0700

The application of the K-Medoid Method in grouping population data per sub-district at the Population and Civil Registration Office of Central Bengkulu Regency can provide information in the form of population density levels of sub-districts/villages in Central Bengkulu Regency which are divided into 3 groups, namely high, medium and low density levels, and can assist local governments in formulating more targeted policies. From the population data of 143 sub-districts/villages, data grouping analysis was carried out using the K-Medoid Method through the application that has been built, so that the results of the grouping of population data per sub-district/village which stopped at the 2nd iteration, namely a high population density level of 4 sub-districts/villages, a medium population density level of 17 sub-districts/villages, and a low population density level of 122 sub-districts/villages. Based on the tests that have been carried out, it is seen that the application of the K-Medoid Method can group population data per sub-district at the Population and Civil Registration Office of Central Bengkulu Regency which is summarized based on the data collection year.

Penerapan Metode Hierarchical Token Bucket Dalam Managemen Bandwidth Pada Pt Galempa Sejahtera Bersama

Liovi Egi Likardo, Khairil Khairil, Abdussalam Al Akbar — Tue, 27 Jan 2026 21:44:34 +0700

Bandwidth management is necessary to ensure that the available bandwidth is allocated according to the needs of each connected user. One method that can stabilize the allocation of bandwidth is the Hierarchical Token Bucket (HTB) method. The purpose of this research is to regulate the amount of bandwidth to meet the internet usage requirements for each user without allowing any single user to dominate the bandwidth usage on the internet network. The research was conducted in five stages: problem analysis, data collection, design and implementation of HTB, HTB implementation, and analysis of the final results of the system using HTB. Problem analysis and data collection were obtained through direct observation. The design and implementation were carried out using the HTB method on MikroTik routers. The HTB method allows us to create queues in a more structured manner by performing hierarchical groupings. Testing results show that the HTB method can manage bandwidth usage for each user when using the internet simultaneously. The analysis of the application of the HTB method at PT. GSB indicates that each user receives bandwidth based on limit-at and priority.

Sikurma: Development Of A Google Apps Script–Based Document Repository Information System For Optimizing Digital Archive Management In Higher Education

Tue, 27 Jan 2026 21:45:18 +0700

Strategic document management for accreditation and Key Performance Indicator (KPI) reporting poses significant challenges for higher education institutions due to unstructured digital archives and high implementation costs of commercial Electronic Document Management Systems (EDMS). This research aims to design, develop, and evaluate SIKURMA (Document Repository and Archive Management Information System), a low-cost and easily replicable document repository solution based on Google Workspace. The development method employs a prototyping approach with user-centered design orientation, including stages of needs analysis, system design, development using Google Apps Script, and evaluation through the DeLone & McLean Information System Success Model framework. The research results demonstrate a functional SIKURMA prototype capable of dynamically displaying file lists from Google Drive, equipped with hierarchical navigation features, global and per-folder search capabilities, and a simple spreadsheet-based authentication system. Quantitative evaluation involving 35 lecturer respondents from various study programs shows that all system success hypotheses were accepted with high significance levels. The system successfully achieves zero-cost infrastructure by utilizing available Google Workspace, making it easily replicable by various higher education work units. SIKURMA proves to offer practical and efficient solutions for optimizing digital document governance in higher education institutions with limited resources

Performance Evaluation of Homomorphic Encryption Protocols for Cloud Data Processing

Lucy Amanda, Arlen Prima Dinova, Amir Faiq Al Hannan, Safira Azahra, Azkal Azkia — Tue, 27 Jan 2026 21:45:44 +0700

The rapid growth of cloud computing has driven the extensive adoption of cloud-based data storage and processing services across various sectors. Despite its advantages in scalability and efficiency, this paradigm raises significant concerns regarding data security and privacy, particularly when sensitive information is processed by third-party cloud providers. Homomorphic Encryption (HE) has emerged as a promising cryptographic solution to address these challenges, as it enables computations to be performed directly on encrypted data without requiring prior decryption. This study aims to examine the concepts, mechanisms, and protocols of Homomorphic Encryption for secure data processing in cloud environments. The research adopts a literature review method by analyzing various HE schemes, including Partially Homomorphic Encryption, Somewhat Homomorphic Encryption, and Fully Homomorphic Encryption, along with their applications in cloud-based systems. The results indicate that Homomorphic Encryption significantly enhances data confidentiality and privacy during cloud data processing. However, several challenges remain, particularly related to computational complexity and performance efficiency. Nevertheless, Homomorphic Encryption demonstrates strong potential as a foundational technology for developing secure and privacy-preserving cloud services, especially for handling sensitive data such as medical, financial, and personal information.

Perancangan Sistem Cluster Server Untuk Mendukung High Availability Pada Lingkungan Virtual Di Pusat Data Pemerintah Kabupaten Gunungkidul

Wahyu Kurniawan, Imam Suharjo — Tue, 27 Jan 2026 21:46:20 +0700

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem cluster server guna mendukung high availability pada infrastruktur virtual di Pusat Data Pemerintah Kabupaten Gunungkidul. Sistem dikembangkan dengan memanfaatkan Proxmox Virtual Environment sebagai platform virtualisasi, Synology NAS sebagai media penyimpanan bersama, serta Distributed Replicated Block Device (DRBD) sebagai mekanisme replikasi data secara real-time antar node. Metode Network Development Life Cycle (NDLC) diterapkan melalui tahapan analisis, perancangan, simulasi, implementasi, pemantauan, dan manajemen sistem. Pengujian dilakukan menggunakan berbagai skenario kegagalan, meliputi kegagalan node, gangguan jaringan, kegagalan layanan, serta gangguan pada sistem penyimpanan. Hasil pengujian menunjukkan bahwa sistem cluster mampu mempertahankan ketersediaan layanan melalui mekanisme failover otomatis dengan waktu downtime berkisar antara 170–180 detik pada kegagalan satu node dan sekitar 80–110 detik pada kegagalan layanan, serta tetap menjaga konsistensi dan keamanan data. Temuan ini menunjukkan bahwa sistem cluster server yang diimplementasikan mampu meningkatkan ketersediaan layanan secara terukur dan layak diterapkan untuk mendukung layanan publik yang membutuhkan tingkat ketersediaan tinggi.

Systematic Literature Review: Designing an Informatics Learning System Based on Gamification Concepts

Nenden Nurfadillah, Irdam Denni, Aceng Ahmad Rodian Susila — Tue, 27 Jan 2026 22:05:42 +0700

Digital transformation in the field of education demands continuous innovation in learning processes, particularly in informatics courses that emphasize the mastery of computational thinking and programming skills. One widely developed approach is gamification, which refers to the integration of game elements into learning contexts to enhance students’ motivation and engagement. This study aims to analyze trends, dominant elements, platforms used, impacts, and future development directions of gamification-based informatics learning systems through a Systematic Literature Review (SLR) method. The research methodology follows the PRISMA guidelines, encompassing stages of literature identification, title and abstract screening, full-text eligibility assessment, as well as data analysis and synthesis. A total of 24 articles were identified in the initial search and subsequently selected based on predefined inclusion and exclusion criteria, resulting in 10 articles for in-depth analysis. The PICOS framework was employed to clarify the scope of the review, including informatics learners as the population, gamification as the intervention, conventional learning as the comparison, and outcomes in terms of motivation, engagement, and learning achievement. The findings indicate a significant increase in the implementation of gamification in informatics education over the past five years. The most dominant gamification elements identified are points, badges, levels, and leaderboards, with web-based e-learning platforms serving as the primary medium for implementation. Overall, gamification has consistently demonstrated positive effects on students’ motivation, engagement, and learning outcomes. This study concludes that gamification holds strong potential as an effective and sustainable learning strategy to support digital transformation in informatics education.

Creating Educational Math Games Using Construct 2 Software

Farhan Zaky, Ricky Zulfiandy, Achmad Fikri Sallaby — Wed, 28 Jan 2026 22:12:14 +0700

This study aims to develop a mathematics educational game for seventh-grade junior high school students using Construct 2 software, focusing on algebra and plane geometry. The research method used is experimental, covering needs analysis, system design, implementation, and black box testing. The game is designed with interactive features such as multiple-choice quizzes, visual simulations, and score tracking to enhance motivation and conceptual understanding. A questionnaire completed by 15 respondents showed that 86.7% agreed/strongly agreed the game interface was easy to use, 80% felt the game supported concept comprehension, and 93.3% would recommend the game. Functional testing confirmed that all features (navigation, content, quizzes, and score storage) operated optimally. The game aligns with the Merdeka Curriculum, which emphasizes competency-based and contextual learning. The results conclude that the Construct 2-based educational game is effective as an interactive learning tool, increases student engagement, and is suitable for further development by adding collaborative features and expanding its content.

IoT-Based Monitoring And Control Of Water Turbidity And Automatic Fish Feeding

Nanda Eka Juniawan, Riska Riska, Yessi Mardiana — Wed, 28 Jan 2026 22:12:47 +0700

The development of Internet of Things (IoT) technology has had a significant impact in various fields, including the fisheries sector. In fish farming, water quality and feeding efficiency are important factors that affect fish health and growth. This study aims to design and implement IoT-based automatic fish feed and water turbidity monitoring system. This system uses an ESP32 microcontroller connected to a turbidity sensor to monitor water turbidity levels, an ultrasonic sensor to detect feed levels, and actuator devices in the form of servos and water pumps. Turbidity data and device status are transmitted in real-time via MQTT protocol to web-based monitoring application and an Android app. Test results indicate that the system can accurately monitor water turbidity levels and activate feeding according to a schedule or manually via the user interface. The testing was conducted in a 40x12x15 cm aquarium containing five guppy ornamental fish, and on the seventh day, an increase of 1 NTU was recorded. The implementation of this technology is expected to improve operational efficiency, reduce feed waste, and maintain aquarium environmental quality sustainably..

Pengembangan Website E-Commerce dan Sistem Informasi Untuk Penjualan Produk The Hidden Swargi Coffe Roaster

Tina Anjarwati, Heru Supriyano — Wed, 28 Jan 2026 22:13:19 +0700

This study discusses the development of an e-commerce website integrated with the information system at The Hidden Swargi Coffee Roaster. The background of this study stems from the need for businesses to improve operational efficiency while expanding their marketing reach in the digital age. The method used in the development is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. The results of the study show that the system built is capable of supporting product management, transactions, and customer data in a more structured and integrated manner. Testing using the Black Box method proves that all functions in the system run according to the design and user requirements. With this system, The Hidden Swargi Coffee Roaster can strengthen its business processes while improving the quality of service to customers. This research is expected to provide practical contributions to MSMEs in the application of information technology and serve as an academic reference in the development of integrated e-commerce systems.

Rancang Bangun Sistem Informasi Penjualan Pada UMKM MJ Sweet Berbasis Web

Angga Wahyu Prayoga, Azizah Nur Fatmawati — Wed, 28 Jan 2026 22:15:09 +0700

The MJ Sweet MSME represents a small-to-medium enterprise engaged in the production and distribution of assorted cakes and confectionery products. In its operational practices, the enterprise continues to encounter substantial challenges in managing product data, sales transactions, and promotional activities due to the absence of an integrated information system. This research aims to design and implement a web-based sales information system intended to streamline the management of products, transactions, and financial reporting in a more efficient, structured, and organized manner. The system development process employs the Waterfall model, encompassing sequential stages of requirement analysis, system design, implementation, and testing.The application was developed using the PHP programming language, MySQL as the database management system, and the Laravel framework, which together enable the creation of an interactive, responsive, and user-friendly interface. System evaluation was conducted through the Black Box Testing approach to validate the functional conformity of all system components with the established specifications. The testing outcomes demonstrated that all system features operated optimally without any functional discrepancies. Overall, the developed system effectively enhances sales operational efficiency, improves data accuracy, and provides significant convenience for both administrators and customers in executing online transactions.

Perancangan Aplikasi Daftar Menu dengan Implementasi Augmented Reality

Muhammad Alif Pandu Raharjo, Devi Afriyantari Puspa Putri — Wed, 28 Jan 2026 22:14:16 +0700

Digital technology has spread rapidly in the last several years. This growth has resulted in significant changes in various areas. The culinary sector stands out as one clear example. Studies indicate that innovation now plays a central role. It boosts how operations run more smoothly. At the same time, it improves what customers go through overall. Evidence points to the creation and rollout of a mobile app for menus. This app weaves in Augmented Reality, or AR, right into its core. Developers stuck to the waterfall approach for the whole process. They began with analyzing needs. Then came the in-depth planning of the system. After that, building it out, checking everything, and setting up ongoing support. AR comes into play by showing food options as lively 3D models. Users get to see dishes in a lifelike way. They can do this before deciding to order anything. Beyond that, the app offers extra tools to make things easier. Think quick searches through the menu. Or grouping items by type. There's also a spot to save favorites. Pop-ups give more details on selections. A basic cart handles picks. Checkout happens automatically through WhatsApp. For testing, the team used Black Box methods. This checked if functions worked as planned. To gauge how users felt, they applied the System Usability Scale, known as SUS. Results came back strong. Every part operated without issues. The SUS score topped 80. That points to strong approval from those who tried it. In the end, the app delivers a lively way to visualize and interact. It seems likely to help with marketing and sales. Small food businesses, like those in the MSME category, could find it especially handy.

Decision Support System For Assessing The Performance Of The Best Posyandu Cadres Using The Weighted Product (WP) Method At The Tanjung Agung Palik Community Health Centre

Zevin Agustianza, Maryaningsih Maryaningsih, Venny Novita Sari — Wed, 28 Jan 2026 22:16:14 +0700

The performance assessment of Posyandu cadres at the Tanjung Agung Palik Community Health Centreis still carried out manually, requiring a more measurable solution.This study aims to design and develop a Decision Support System(DSS) for assessing the performance of the best Posyandu cadres. This DSS was developedusing the Waterfall model and implementing the WeightedProduct (WP) method to process assessment data. The criteria usedinclude attendance, administration, length of service, and communication, which areweighted according to their level of importance. The application of the WP method involvescalculating preference vectors and normalising the final scores to producea ranking of cadres. The results show that this system is capable ofautomatically and efficiently presenting recommendations for the best cadres. It is hoped that this DSS can be an accurate and data-based tool, reducingsubjectivity and assisting health centres in making fair and accountable decisions.

Design Of A Digital Platform As An Effort To Empower Communities In The Tourism Sector Based On Local Wisdom

Wed, 28 Jan 2026 22:16:49 +0700

Indonesia has vast tourism potential; however, the use of digital technology in managing and promoting destinations remains limited, particularly in small and rural areas. Limited access to technology, low digital literacy, and weak coordination among tourism stakeholders have become key challenges in enhancing the competitiveness of local tourism in the digital era. This study aims to design a digital platform as an effort to empower communities in the tourism sector based on local wisdom. The platform is designed to increase community participation, provide accessible information, and support community-based destination marketing and promotion. The research employs a Research and Development (R&D) method with a qualitative descriptive approach and adopts the Design Thinking development model, which consists of five stages: empathize, define, ideate, prototype, and test. Data were collected through questionnaires distributed to tourism business actors, travel agents, and tourists to explore their needs, perceptions, and challenges in utilizing digital technology. The study results in a design of a community-based digital tourism platform that integrates features of promotion, transactions, and coordination among local tourism stakeholders. The platform emphasizes the role of local communities as providers of tourism services such as homestays, local transportation, and tour guiding rooted in local wisdom. This concept is expected to foster local economic growth, strengthen cultural identity, and support the achievement of the Sustainable Development Goals (SDGs).

Studi Literatur: Dampak Media Pembelajaran Berbasis Android Terhadap Hasil Belajar Informatika Siswa Menengah Atas

Salma Fitria Shohifah, Iman Nasrulloh, Aceng Ahmad Rodian Susila — Wed, 28 Jan 2026 22:17:20 +0700

This study aims to comprehensively analyze the impact of Android-based learning media on students’ Informatics learning outcomes in Senior High Schools. The research was conducted using a literature study approach by reviewing 30 scientific articles published between 2020 and 2025 from accredited national and international journals. The analysis focused on aspects of media design, curriculum integration, learning effectiveness, and improvements in students’ cognitive and affective learning outcomes. The review results show that Android-based learning media significantly enhance learning engagement, motivation, and students’ performance compared to conventional teaching methods. Most studies reported an average increase in learning outcomes ranging from 15% to 35% after the implementation of Android-based learning media. However, several limitations were identified, such as dependency on digital infrastructure and the lack of teacher training in interactive content development. Based on these findings, it can be concluded that Android-based learning media have great potential to improve Informatics learning outcomes in high schools, provided that their use is supported by institutional policies, teachers’ digital literacy, and contextual instructional design. This study also provides recommendations for future research to explore the integration of artificial intelligence and gamification in Android-based learning media.

Deteksi Objek Secara Real-Time Berbasis YOLOv8 dan Algoritma DeepSORT

Daniel Satria Mahardhika, Magdalena A. Ineke Pakereng — Wed, 28 Jan 2026 22:17:49 +0700

Manual monitoring of traffic density and pedestrian movement is often inefficient and prone to errors. This study aims to develop and evaluate an automated real-time object detection and tracking system as a solution to these issues, focusing on four main classes: cars, motorcycles, trucks, and people. The method employed involves the implementation of the YOLOv8l deep learning architecture for high-precision object detection, combined with the DeepSORT algorithm for tracking and re-identification to maintain unique IDs for each observed object. The training data were collected from various CCTV recordings and enriched through augmentation techniques, after which the model was trained using the Google Colab platform. For functional testing, the system was implemented in a local Flask-based web application capable of processing input from videos, webcams, and YouTube live streams. The evaluation results indicate that the model achieved very high and balanced performance, with overall accuracy, precision, recall, and F1-score values reaching 0.98. Although challenges related to Frame Per Second (FPS) stability were identified due to heavy computational loads, the system as a whole proved to be functional, reliable, and effective as an automated solution for object monitoring in public environments.

Application Of The Brute Force Method For Tracing Graduates Of Universitas Dehasen Bengkulu

Vina Silva Anugrah, Khairil Khairil, Abdussalam Al Akbar — Wed, 28 Jan 2026 22:57:30 +0700

The tracer study is one of the essential activities carried out by universities to monitor the success of their graduates in the workforce as well as to serve as an evaluation tool for improving the quality of education. However, the alumni tracking process that is conducted manually often encounters various obstacles, such as difficulties in data searching, information duplication, and delays in reporting. Based on these problems, this study aims to develop an alumni tracking application for Universitas Dehasen Bengkulu by implementing the Brute Force algorithm as a method for searching alumni data based on specific keywords. The implementation results show that the system can display alumni search results quickly and accurately by providing information on the number of string comparisons, execution time, and match percentage. In addition, the application also provides features for alumni data management, alumni questionnaire input, and job information updates, which support the digital implementation of tracer study activities. Thus, the application of the Brute Force algorithm in this system has proven to be effective in assisting the alumni data search process and improving the efficiency and accuracy of graduate tracking at Universitas Dehasen Bengkulu.

Implementasi Metode Service Quality Untuk Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Fakultas Ilmu Komputer

Zashosudi Shoranto, Jusuf Wahyudi, Rizka Tri Alinse — Wed, 28 Jan 2026 22:58:00 +0700

Higher education demands the provision of quality academic services to ensure user satisfaction, specifically student satisfaction. The Faculty of Computer Science (Filkom) at Dehasen University, Bengkulu, does not yet have a measurable system for evaluating its service quality, making it difficult to identify areas for improvement based on student feedback. This study aims to implement the Service Quality (ServQual) method to measure student satisfaction with Filkom's academic services. The ServQual method is used to analyze the gap between student perceptions and expectations across five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy.The results of the ServQual analysis indicate that overall, students are dissatisfied with the services provided. All dimensions and indicators received negative gap scores, with the Responsiveness dimension recording the largest gap. The conclusion of this study is that the ServQual method is effective as an objective service quality measurement tool. The developed application not only provides a comprehensive overview of student satisfaction levels but also serves as an efficient monitoring tool for the faculty to implement continuous improvement.

The Implementation of Mobile Application for Queue Management and Customer Service at Babe Barbershop Using Agile Method

Musa Alhadi Pulungan, Devi Sartika, Ahmad Asyhari — Wed, 28 Jan 2026 22:58:31 +0700

Babe Barbershop faced manual queuing problems that affected schedule irregularities and customer comfort. This research aims to design and implement a more efficient and structured mobile application for queue management and customer service. Development was carried out at Babe Barbershop (Bengkulu) from February to June 2025 using Agile method with iterative stages from planning to launch, in order to easily adapt to changing needs. The application was developed with Vue.js and Firebase stack; key features include registration/login, service booking with barber and time slot selection, attendance confirmation, walk-in input, barber dashboard, and a public queue page for transparency. Black-box testing showed that all functions worked well according to the scenario: bookings were saved and had a BOOKED status, cancellations updated the status, “Already Present” changed the status and barber queue, and application navigation was smooth without errors. These results confirm that the application supports operational efficiency, reduces waiting times, and improves the service experience at Babe Barbershop..

A Decision Support System In Determining The Admission Of New Student To TJKT Vocational Program At SMK Negeri 3 Bengkulu City Using SAW Method

Wijaya Anugerah Kusuma, Indra Kanedi, Prahasti Prahasti — Wed, 28 Jan 2026 22:59:00 +0700

The admissions of New student are an important process that determines the quality of students at a school. Until now, the selection process for prospective students at SMK Negeri 3 Bengkulu City, particularly in the Computer Network and Telecommunications Engineering (TJKT) program, has been carried out manually, which is time-consuming and prone to subjectivity in decision-making. To overcome this, this study aims to develop a Decision Support System (DSS) for new student admissions using Simple Additive Weighting (SAW) method, which can help schools determine eligible prospective students more quickly, accurately, and objectively. This system was developed using PHP programming language with MySQL database and tested using the black box method to ensure that all functions ran as required. The results of testing 15 prospective new student data for the 2025/2026 academic year showed that the system was able to display the calculation results automatically and provide recommendations on eligibility for admission. From this test, 7 prospective students were accepted and 8 prospective students were not accepted..

Decision Support System For Determining The Level Of Violence Against Women And Children In Bengkulu Province

Dinda Ratna Sari, Asnawati Asnawati, Lena Elfianty — Wed, 28 Jan 2026 23:02:09 +0700

Violence against women and children is common, both in public and within the family. This study aims to determine the level of violence against women and children in Bengkulu Province using the Simple Additive Weighting (SAW) method. The Simple Additive Weighting (SAW) method can solve problems with more precise assessments because it is based on predetermined criteria values and preference weights. It can select the best alternative from a number of available alternatives due to the ranking process after assigning weights for each attribute. This Decision Support System for determining the level of violence against women and children in Bengkulu Province was created using the PHP programming language and a MySQL database. This application can accommodate data from all regions in Bengkulu Province to be assessed. This application can be used to facilitate the determination of the level of violence against women and children in Bengkulu Province by applying the SAW method, which can rank the assessment results.

Noise Cancellation Berbasis Ai Dengan Algoritma Lms Untuk Mengurangi Gangguan Noise Pada Komunikasi Radio Trunking

Barito Ropen; Alva Hendi Muhammad — Wed, 28 Jan 2026 23:01:26 +0700

The effectiveness of trunking radio communication systems in critical operations is often degraded by intense environmental noise, which increases the risk of fatal information errors. This study aims to enhance voice signal quality by designing an Active Noise Cancellation (ANC) system based on simple Artificial Intelligence (AI) utilizing the Least Mean Squares (LMS) algorithm. Unlike conventional static filters, the proposed method offers high adaptability to dynamic acoustic disturbances in the field. The research methodology involves computational simulation using the ADALINE neural network architecture, where clean speech signals are mixed with various operational noise profiles at a standard 8 kHz sampling frequency. System performance is objectively evaluated based on Signal-to-Noise Ratio (SNR) improvement, convergence speed, and Steady-State Error stability. The results indicate that the proposed system successfully increased the average SNR by 12 dB to 15 dB and achieved rapid convergence when noise characteristics changed abruptly. Further spectral analysis confirmed that the algorithm effectively attenuated disturbance energy without distorting human vocal frequencies. With low computational complexity, this approach proves efficient and feasible for implementation on resource-constrained radio hardware. In conclusion, the adaptive LMS algorithm provides a significant solution for clarifying trunking radio communication in real-time.by applying the SAW method, which can rank the assessment results.

Expert System for Diagnosing Hepatitis Disease Using the Forward Chaining Method

Yessi Mardiana, Devina Nino Sari, Nofi Qurniati — Wed, 28 Jan 2026 23:13:05 +0700

Hepatitis is a liver disease characterized by inflammation. Inflammation is indicated by elevated liver enzyme levels, which are caused by disruption or damage to the liver membrane. Given the significant negative impact of this disease, serious prevention and treatment of the dangers of hepatitis are necessary. Efforts to minimize these risks can be achieved by increasing public awareness of the factors that can cause hepatitis. Therefore, a system is needed that can serve as an alternative to consulting a doctor for the general public. The purpose of this research is to develop an expert system that can serve as an initial solution in the treatment of hepatitis. In its implementation, this expert system uses the forward chaining method. In this method, data is used to determine which rules will be executed to achieve a result. Based on the testing conducted, it can be concluded that this expert system application can be used by users for the early diagnosis of hepatitis

Design and Implementation of a Web-Based Internet Access Monitoring System Using a MikroTik Router

Hendri Alamsyah, Abdussalam Al Akbar — Wed, 28 Jan 2026 23:20:01 +0700

Internet network is a primary need in educational environment especially at SMP Negeri 3 of Lebong Regency of Bengkulu Province. SMP Negeri 3 of Lebong Regency already has internet network using Telkom Indihome provider with 30 Mbps Bandwidth. School does not have a system that can help monitor user internet access, where this can allow better control over user behavior on the network and can ensure that access to the website is in accordance with school policy. The internet access monitoring application is built using PHP programming language with MySQL database. The database is used to store the results of taking user internet access logs and blocked websites. The internet access monitoring application is accessed on the local network by activating the apache web server on the admin laptop and opening a browser to open a web-based application with the localhost/monitoring link. Based on the testing that has been conducted at SMP Negeri 3 of Lebong Regency, the results obtained are that the internet access monitoring application at SMP Negeri 3 of Lebong Regency based on the web can provide information related to users (IP Address) who are active on the internet network and information on sites (IP Address) that have been accessed by each user. In addition, this application can help block websites that are not desired to be accessed by users.

Design And Development Of A Web-Based Attendance System For Daily Workers At The Civil Service Police Unit Office Of Bengkulu Province

Mardiansyah Mardiansyah, Khairil Khairil, Ricky Zulfiandry — Thu, 29 Jan 2026 13:18:27 +0700

In the current digital era, the need for efficient and accurate systems is increasingly urgent, especially in supporting administrative data management in government agencies. One important aspect of administrative management is workforce attendance, which serves as a basis for performance evaluation. However, in the Office of the Civil Service Police Unit (Satpol PP) of Bengkulu Province, the attendance system for daily workers still faces significant challenges. Therefore, this study aims to design a web-based attendance system for daily workers in the Office of Satpol Pamong Praja of Bengkulu Province. The research method used is the waterfall system design method. The attendance system has been successfully developed and implemented with a simple, intuitive interface that meets user needs and operates well within the environment of the Office of the Civil Service Police Unit of Bengkulu Province. This system is capable of managing employee data, recording attendance, and generating structured and automated attendance reports.

AHP Implementation in Best Lecturer Selection at FKIP UNIVED

Bambang Supperianto, Magdalena Sundari — Sat, 31 Jan 2026 00:00:00 +0700

The determination of the best lecturer is a critical strategic process in enhancing institutional quality assurance in higher education. Conventional evaluation approaches are frequently characterized by subjectivity and the absence of structured multi-criteria weighting mechanisms, leading to potential inconsistencies in decision outcomes. This study proposes an Analytical Hierarchy Process (AHP)-based Decision Support System (DSS) to improve the objectivity and reliability of best lecturer selection at the Faculty of Teacher Training and Education, Universitas Dehasen Bengkulu. AHP is employed to structure the decision hierarchy and derive priority weights through pairwise comparison matrices, ensuring consistency in multi-criteria evaluation. The assessment framework incorporates pedagogical competence, professional competence, personality, social competence, and academic performance within the tridharma of higher education. Empirical data were collected through structured questionnaires and institutional performance records. The consistency ratio (CR) of all comparison matrices met the acceptable threshold (CR < 0.1), indicating reliable judgment consistency. The proposed model enhances transparency by quantifying subjective judgments into measurable priority scores and generating a systematic ranking of lecturers. This study contributes methodologically by integrating hierarchical decision modeling with institutional performance evaluation, offering a replicable framework for academic quality assessment. The findings demonstrate that the AHP-based DSS provides a robust and accountable decision-making tool for strategic lecturer evaluation in higher education institutions.