Open AccessKOMPRESI FILE MENGGUNAKAN ALGORITMA LEMPEL ZIV WELCH (LZW)
Author(s) -
Aries Suharso,
Jejen Zaelani,
Didi Juardi
Publication year - 2020
Publication title -
komputasi
Language(s) - English
Resource type - Journals
eISSN - 2654-3990
pISSN - 1693-7554
DOI - 10.33751/komputasi.v17i2.2147
Subject(s) - file size , lossless compression , computer science , data compression , compression ratio , algorithm , compression (physics) , data compression ratio , coding (social sciences) , lossy compression , image compression , statistics , artificial intelligence , mathematics , operating system , image processing , engineering , image (mathematics) , materials science , automotive engineering , composite material , internal combustion engine
In the field of information technology, data communication is closely related to file delivery. The size of the file is sometimes a constraint in the delivery process. Large files will take longer delivery times compared to files with smaller sizes. Therefore, to handle the problem, one of them by means of compression. This study uses an experimental method with a waterfall development model with analysis, design, coding, and testing. This application applies the Ziv Welch Lempel (LZW) algorithm. The Ziv Welch Lemp Algorithm (LZW) is included in the lossless compression technique, which is a compression technique that does not change the original data. The result of a compression assessment used the Lempel Ziv Welch (LZW) algorithm shows the average rate of compression ratio and for all types of text files by 51.04% with an average of 2.56 seconds, for an image file type of 37.26% with an average time of 0.44 seconds. Based on the average percentage of the compression ratio for all file types tested using the LZW algorithm (Lemp Ziv Welch) is 40.40% with an average time required is 1.81 seconds.