Penerapan Algoritma Run Length Encoding Untuk Kompresi File Database *MySQL

Esra Roma R Hutabarat

Abstract


In the rapid development of technology, many information systems or applications already use databases for data storage. The database that is currently widely used for small and medium scale applications is MySQL. A common problem with database files is the amount of data or files stored in the database, which makes the database size large. In addition to the size of the database, there are also data sets that are responsible for reading records that take more time. Over time the database used increases, it will quickly fill disk space. One solution to this problem is to compress the data stored in the database. Compression algorithms, one of which is the Run Length Encoding (RLE) algorithm, and in this research, the algorithm used in MySQL Database File compression. The RLE (Run Length Encoding) algorithm is an encryption algorithm that encodes all data with the same value combined into one data value and the number of times that value appears.

Keywords


Database; Compression; File; Run Length Encoding; MySQL

Full Text:

PDF

References


J. I. Komputer, T. D. Informasi, and N. Seregar, “Penerapan Algoritma Lzy Untuk Mengkompresi Record Database Mysql,†vol. 1, no. 2, pp. 43–50, 2023.

P. Studi, T. Informatika, and U. Mataram, “Implementasi Modifikasi Kompresi Run-Length Encoding pada Steganografi,†vol. 4, no. 2, pp. 100–109, 2020.

U. Mansyuri, “Kompresi Data Teks Dengan Metode Run Length Encoding,†J. Ilm. Sist. Inf., vol. 1, no. 2, pp. 102–109, 2021, [Online]. Available: http://simasi.lppmbinabangsa.id/index.php/home

M. R. Ramadhan, “Analisa Perbandingan Algoritma Run Length Encoding Dengan Burrows-Wheeler Transform Dalam Kompresi File Video,†vol. 6, no. November, pp. 322–332, 2022, doi: 10.30865/komik.v6i1.5716.

A. Azhar, “Kompresi Record Database MySL Dengan Menerapkan Algoritma Goldbach Code G1,†vol. 6, no. November, pp. 279–290, 2022, doi: 10.30865/komik.v6i1.5711.

N. A. Hasibuan, “Analisa Perbandingan Algoritma HuffmanDengan Rice Code Dalam Kompresi File Video,†vol. 6, no. November, pp. 159–166, 2022, doi: 10.30865/komik.v6i1.5690.

T. J. Pattiasina and A. Huffman, “Analisa kode huffman untuk kompresi data teks,†pp. 1–12, 1952.

J. Sistem and I. Robotik, “Jaringan Sistem Informasi Robotik Vol. 2, No. 02, September 2018,†vol. 2, no. 02, 2018.

H. Sartika, T. Zebua, and R. Parapat, “PERANCANGAN DAN IMPLEMENTASI ALGORITMA ELIAS GAMMA CODE UNTUK MENGKOMPRESI RECORD DATABASE PADA APLIKASI RANGKUMAN,†vol. 3, pp. 259–265, 2019, doi: 10.30865/komik.v3i1.1600.

F. Fatmawaty and M. Mufty, “Analisis Perbandingan Kompresi File Wav Menggunakan Metode Huffman dan Run Length Encoding,†J. Teknol. Inf. dan Terap., vol. 7, no. 1, pp. 61–65, 2020, doi: 10.25047/jtit.v7i1.139.

W. T. W. Simanjuntak, “Analisa Perbandingan Algortima Prediction By Partial Matching Dengan Sequitur Pada Kompresi File Teks,†vol. 5, pp. 221–227, 2021, doi: 10.30865/komik.v5i1.3675.




DOI: https://doi.org/10.30865/komik.v7i1.8052

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Esra Roma R Hutabarat

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


KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
P3M STMIK Budi Darma
Sekretariat Jln. Sisingamangaraja No. 338 Telp 061-7875998
email: komik@univ-bd.ac.id, komik.budidarma@gmail.com

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