Perancangan Sistem Diagnosa Penyakit Ikan Hias Menggunakan Metode Forward Chaining

  • Wahyu Dharma Putra Universitas Muhammadiyah Bengkulu
  • Pahrizal Pahrizal Universitas Muhammadiyah Bengkulu
  • Khairullah Khairullah Universitas Muhammadiyah Bengkulu
  • Yulia Darnita Universitas Muhammadiyah Bengkulu
DOI: https://doi.org/10.37676/jmi.v21i1.8130
Keywords: Forward Chaining, Ornamental Fish, Koi

Abstract

The knowledge of farmers about the types of diseases that can attack Koi fish during cultivation is very small. Prediction of disease indications in Koi fish cultivation is an important thing for the success of cultivation. Disease prediction is obtained from facts in the cultivation process. Determining Koi fish disease can be an obstacle when the information known is not accurate. So an application is needed that has knowledge like an expert (specialist doctor). Forward Chaining is a mathematical theory for proof based on the function of belief and reasonable thinking, which is used to combine separate pieces of information (evidence) to calculate the probability of an event. The method used to obtain diagnostic results by sorting between general and specific symptoms. With this application, it is expected to be able to diagnose and provide treatment solutions like those done by experts

Downloads

Download data is not yet available.

References

[1] Any Meilala. 2022. Teknik Pembenihan Ikan Koi (Cyprinus Carpio) Di Balai Benih Ikan Jepun, Kabupaten Tulungagung, Jawa Timur. (Doctoral dissertation, Fakultas Perikanan Dan Kelautan)
[2] Latukolan, Michelle Larassati Ayusmara. 2019. Pengembangan Sistem Pemetaan Otomatis EntityRelationship DiagramKe Dalam Database. urnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Fakultas Ilmu Komputer, Universitas Brawijaya
[3] Noviana, Rina. 2022. Pembuatan Aplikasi Penjualan Berbasis Web Monja Store Menggunakan PHP Dan MYSQL. Jurnal Teknik and Science – JTS. Fakultas Teknologi Industri/JurusanTeknik Informatika, Universitas Gunadarma
[4] Pramiyati, Titin. 2019. Peran Data Primer Pada Pembentukan Skema Konseptual Yang Faktual (Studi Kasus : Skema Konseptual Basisdata Simbumil). Jurnal SIMETRIS. Program Studi Sistem Informasi, Universitas Pembangunan Nasional “Veteran” Jakarta
[5] Purnomo, Cahya. 2021. Membangun Keunggulan Bersaing Pelabuhan Indonesia Studi Kasus Pada PT. Pelindo III. Program Pascasarjana Fakultas Bisnis Dan Ekonomika Universitas Islam Indonesia
[6] Ramadhan, Rizal Nur. 2021. Sistem Pakar Untuk Mendiagnosa Jenis Tanah dan Tanaman Yang Sesuai Dengan Metode Forward Chaining Berbasis Web. Procedia of Engineering and Life Science. Universitas Muhammadiyah Sidoarjo
[7] Sandria, Yoga Ade. 2022. Penerapan Algoritma Selection Sort untuk Melakukan Pengurutan Data dalam Bahasa Pemrograman PHP. Jurnal Ilmu Komputer. Universitas Potensi Utama. Medan.
[8] Shanty. 2021. Pengaruh Penambahan Pigmen Alami Dari Ekstrak Ubi Jalar Ungu (Ipomoea batatasL) Pada Pakan Terhadap Kecerahan Warna Dan Pertumbuhan Benih Ikan Koi (Cyprinus carpio). JUSTER: Jurnal Sains dan Terapan. Fakultas Keguruan dan Ilmu Pendidikan, Universitas Lambung Mangkurat
[9]Siregar, Saidi Ramadan. 2022. Penerapan Metode Waterfall Dalam Pengembangan Sistem Informasi Masjid. KLIK - Kajian Ilmiah Informatika dan Komputer. Universitas Budi Darma, Medan
[10] Tuasamu, Zainab. 2023. Analisis Sistem Informasi AkuntansiSiklus Pendapatan Menggunakan DAD Dan Flowchart Pada Bisnis Porobico. JURBISMAN. Universitas Pattimura, Ambon
[11] Widodo, A. 2021. Diagnosa penyakit kulit pada hewan kucing menggunakan metode forward chaining. Jurnal Informasi dan Teknologi. Fakultas Teknik Universitas 17 Agustus 1945 Surabaya
Published
2025-04-28
How to Cite
Putra, W., Pahrizal, P., Khairullah, K., & Darnita, Y. (2025). Perancangan Sistem Diagnosa Penyakit Ikan Hias Menggunakan Metode Forward Chaining. JURNAL MEDIA INFOTAMA, 21(1), 329-335. https://doi.org/10.37676/jmi.v21i1.8130
Issue
Vol 21 No 1 (2025): April 2025
Section
Articles

Copyright (c) 2025 Wahyu Dharma Putra; Pahrizal Pahrizal, Khairullah Khairullah, Yulia Darnita

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

An author who publishes in Jurnal Media Infotama agrees to the following terms:The author holds the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-Share Alike 4.0 License which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.Submission of a manuscript implies that the submitted work has not been previously published (except as part of a thesis or report, or abstract); that it is not being considered for publication elsewhere; that its publication has been approved by all co-authors. If and when a manuscript is accepted for publication, the author retains the copyright and retains the publishing rights without limitation.

For new inventions, authors are advised to administer the patent before publication. The license type is CC-BY-SA 4.0. 

MEDIA INFORMATION REVIEW: Journal of the Faculty of Computer Science is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.You are free to:Share

— copy and redistribute material in any medium or formatAdapt

— remix, modify and develop materialfor any purpose, even commercial.

The licensor cannot revoke this freedom as long as you follow the license terms