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Rian Syahputra
Universitas Budi Darma, Medan
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Journal : Bulletin of Artificial Intelligence

 1 
Perbandingan Algoritma Sequitur dan RLE Dalam Kompresi Teks Rian Syahputra
Bulletin of Artificial Intelligence Vol 1 No 1 (2022): April 2022
Publisher : Graha Mitra Edukasi

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Abstract

Information on a news blog is not small if we look at the amount of information that will be conveyed in a news story. A news blog also uses a lot of storage memory in the database because of the large amount of information in the form of text that is stored, and also affects the speed of data transmission. Compression techniques aimed at reducing data can be used to reduce stored text and save storage media and speed up the data transmission process. Using the Sequitur algorithm is better with a compression ratio of 80.95% of the initial size, because the sequitur algorithm removes symbol pairs that appear more than once with a new symbol. While the RLE algorithm in this study cannot be used because it does not meet the RLE algorithm so that the compression process does not occur due to the absence of the same characters appearing successively, this is a weakness of the RLE algorithm
Co-Authors Afifa, Rizky Maulidya afrisawati, Afrisawati Ahmad Safitra Alwin Fau Andreas Gerhard Simorangkir Annisah Annisah Atsauri, Muhammad Riki Bister Purba Cristella Sitinjak Cut Try Utari, Cut Try Dalimunthe, Aulia Rahman Dimas Hadityo Ramadan Efori Buulolo Ginting, Ramadhanu Harahap, Ahmad Indra Hukendik Hutabarat Lisdawati Simangunsong Mesran, Mesran Nelly Astuti Hasibuan Pristiwanto Purba, Bister Purba, Rohan Kristini Riandari, Fristi Rivalri Kristianto Hondro Rizky, TM Irsan Simorangkir, Elsya Sabrina Asmita Surya Darma Nasution Syechu, Weno T. Razeki Aditya Syahputra USWATUN HASANAH