Analisis Penerapan Kompresi dan Dekompresi Data dengan Menggunakan Metode Statistik dan Kamus

Tjatur Kandaga


Data compression attempts to reduce data size without losing the contained information. Smaller data size will take less space to store the data, and smaller bandwith when the data is transmitted through the network. There are two categories of data compression, which are lossy and lossless data compression. Uncompressed data mostly stored as ASCII character which use 8 bit for every character regardless the occurrence of that character. Lossless data compression techniques uses statistical or dictionary-based methods to recode the data and get smaller data size from the original (uncompressed) data. This is done by assigning fewer bits for characters that has high frequency of occurrence, and larger number of bits for rarely occurred characters. From experiments it is obvious that certain data compression techniques works best with certain data types. LZW15V has best overall result from other data compesion techniques we tested so far.


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