Implementasi Metode Cepat Kompresi File Document Otomatis Pada Aplikasi Berbasis Web Menggunakan Algoritma Additive Code
Abstract
Online data entry systems have largely replaced manual file submission in modern data transmission. Data is often very large. Therefore, a method is needed to reduce the size of the data. File compression, or compression in general, is the name of this method. Compressing files involves transforming multiple document files into a standard encoding format to reduce storage space requirements or increase upload speed. The results of this research inform the use of the Additive Code technique application for file compression, which makes it easier to upload document files automatically and is useful for users. Therefore, the author conducted research with the aim of developing a web-based application. This system can make it easier to upload document files so that it can reduce processing time. Using this method in online applications is useful for creating large document files that can be compressed into smaller ones by following the compression procedure. Data compression test results were obtained by running 10 samples of each document and PDF data file at a speed of less than 3 seconds, with accuracy ranging from 27% to 67% for each sample. We successfully tested ten Word documents and ten PDFs that were uploaded and compressed.
Downloads
References
[2] J. Pardede, M. M. B, and L. Yudhianto, “Implementasi Algoritma Lzss pada Aplikasi Kompresi dan Dekompresi File Dokumen,” vol. 2, no. 1, pp. 68–81, 2017.
[3] I. Almurtada, M. Syahrizal, “Penerapan Algoritma Goldbach Codes Pada Kompresi File Teks Terenkripsi Hill Cihper,” Vol. 6, No. April, Pp. 473–478, 2018.
[4] E. Hariska et al., “Perancangan Aplikasi Kompresi File Gambar Menggunakan Algoritma Additive Code,” vol. 5, pp. 193–202, 2021, doi: 10.30865/komik.v5i1.3671.
[5] R. D. Pratiwi, S. D. Nasution, and F. Fadlina, “Perancangan Aplikasi Kompresi File Teks Dengan Menerapkan Algortima Fixed Length Binary Encoding (Flbe),” J. Media Inform. Budidarma, vol. 2, no. 1, pp. 10–14, 2018, doi: 10.30865/mib.v2i1.813
[6] R. Y. Tanjung, “Perancangan Aplikasi Kompresi File Dokumen Menggunakan Algoritma Adiitive Code,” vol. 8, no. 4, pp. 108–113, 2021, doi: 10.30865/jurikom.v8i4.3593.
[7] W. D. Apriliani, “ Perancangan Aplikasi Kompresi File Video Dengan Menggunakan Algoritma Additive Code,” Vol.5, no. 1, pp.203-212, 2021, DOI: 10.30865/komik.v5i1.3673
[8] G. A. Nabila, “Analisis Perbandingan Algoritma Boldi Vigna Ζ1 Code Dan Algoritma Even Rodeh Code Pada Kompresi File Teks,” Universitas Sumatera Utara Medan, 2019.
[9] R. Krasmala, A. B. Purba, U. T. Lenggana, and T. Informatika, “Kompresi Citra Dengan Menggabungkan Metode Discrete Cosine Transform ( DCT ) dan Algoritma Huffman,” ISSN 2527-9165, vol. 2, no. 1, pp. 1–9, 2017.
[10] F. C. Ningrum, D. Suherman, S. Aryanti, H. A. Prasetya, dan A. Saifudin, “Pengujian Black Box pada Aplikasi Sistem Seleksi Sales Terbaik Menggunakan Teknik Equivalence Partitions,” Jurnal Informasi Univiversitas Pamulang, vol. 4, no. 4, hlm. 125–130, 2019
Copyright (c) 2024 Yuza Reswan, Leo Tri Anggoro
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