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<p align="justify">The world's development into the digital era has produced an emerging trend with the use of huge size text files as ebooks or electronic journals. The Lempel-Ziv Storer Szymanski (LZSS) is a type of compression algorithm that is suitable to compress those kind...

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主要作者: EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA
格式: Final Project
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/13739
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機構: Institut Teknologi Bandung
語言: Indonesia
id id-itb.:13739
spelling id-itb.:137392017-09-27T10:18:43Z#TITLE_ALTERNATIVE# EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/13739 <p align="justify">The world's development into the digital era has produced an emerging trend with the use of huge size text files as ebooks or electronic journals. The Lempel-Ziv Storer Szymanski (LZSS) is a type of compression algorithm that is suitable to compress those kinds of files. This algorithm works based on a principle which is called string compression. This principle made LZSS algorithm works very well when used to compress huge size files, especially text files. This happens because in big files, the occurrence of matching between the dictionary buffer and the look-ahead buffer would be very often during the encoding process. Based on these facts, the writer is interested to do a general evaluation of the algorithm which is done by comparing its compression ratio to the compression ratio of the existing compression programs (especially Pack and Compress, which are used in UNIX). The optimum type of text files and images are also evaluated in this Final Project.<p align="justify"><p>The evaluation is carried by implementing the LZSS algorithm into a program using Java programming language. The program made then is used to compress the selected data training set. The overall results show that the algorithm is often ranked in the middle of the table when compared to the existing compression programs. Also, for the optimum file type, the algorithm gets the best compression ratio of 12% for both text and image. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">The world's development into the digital era has produced an emerging trend with the use of huge size text files as ebooks or electronic journals. The Lempel-Ziv Storer Szymanski (LZSS) is a type of compression algorithm that is suitable to compress those kinds of files. This algorithm works based on a principle which is called string compression. This principle made LZSS algorithm works very well when used to compress huge size files, especially text files. This happens because in big files, the occurrence of matching between the dictionary buffer and the look-ahead buffer would be very often during the encoding process. Based on these facts, the writer is interested to do a general evaluation of the algorithm which is done by comparing its compression ratio to the compression ratio of the existing compression programs (especially Pack and Compress, which are used in UNIX). The optimum type of text files and images are also evaluated in this Final Project.<p align="justify"><p>The evaluation is carried by implementing the LZSS algorithm into a program using Java programming language. The program made then is used to compress the selected data training set. The overall results show that the algorithm is often ranked in the middle of the table when compared to the existing compression programs. Also, for the optimum file type, the algorithm gets the best compression ratio of 12% for both text and image. <br />
format Final Project
author EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA
spellingShingle EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA
#TITLE_ALTERNATIVE#
author_facet EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA
author_sort EVEN RAMADHAN (NIM 13203076); Pembimbing: Dr.Ir. Hendrawan, PRIMA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/13739
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