Kebutuhan kompresi data teks di era komputasi awan saat ini masih cukup tinggi. Data teks perlu dikompresi sekecil mungkin agar mudah dikirimkan. Burrows Wheeler Compression Algorithm (BWCA) adalah salah satu algoritma kompresi teks jenis block sorting yang bersifat non-proprietary dan cukup populer digunakan. Dalam prosesnya, BWCA menggunakan metode pemrosesan awal yang disebut Global Structure Transformation (GST) untuk menyusun karakter agar lebih baik hasil kompresinya. Penelitian ini membandingkan tiga metode pemrosesan awal Move-to-Front, yaitu MTF, MTF-1 dan MTF-2. Bahan uji kompresi berupa data Alkitab Bahasa Inggris, Indonesia dan Jawa, dan beberapa data yang berasal dari Calgary Corpus. Oleh karena kompresi teks adalah kompresi yang bersifat lossless dan reversibel, maka selain melakukan pengujian untuk pengompresian data, juga dilakukan pengujian untuk pendekompresian data dengan Inverse Burrows Wheeler Transform. Pengujian kompresi dan dekompresi pada data Alkitab maupun Calgary Corpus berhasil dilakukan dan menunjukkan MTF-1 mampu memberikan rasio kompresi yang lebih baik dikarenakan jumlah total tiap bit pada proses Huffman lebih sedikit dibandingkan dua metode lainnya.
Data Compression can save some storage space and accelerate data transfer. Among many compression algorithm, Run Length Encoding (RLE) is a simple and fast algorithm. RLE can be used to compress many types of data. However, RLE is not very effective for image lossless compression because there are many little differences between neighboring pixels. This research proposes a new lossless compression algorithm called YRL that improve RLE using the idea of Relative Encoding. YRL can treat the value of neighboring pixels as the same value by saving those little differences / relative value separately. The test done by using various standard image test shows that YRL have an average compression ratio of 75.805% for 24-bit bitmap and 82.237% for 8-bit bitmap while RLE have an average compression ratio of 100.847% for 24-bit bitmap and 97.713% for 8-bit bitmap.
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