Perancangan Aplikasi Kompresi File Teks Dengan Menerapkan Algortima Fixed Length Binary Encoding (Flbe)

Pratiwi, Rizka Dwi; Nasution, Surya Darma; Fadlina, Fadlina

doi:10.30865/mib.v2i1.813

Cited by 9 publications

(12 citation statements)

References 2 publications

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“…Fixed Length Binary Encoding (FLBE) mengubah bit karakter menjadi fixed-length code sehingga menghasilkan string bit yang baru. String bit inilah yang merupakan hasil kompresi dari algoritma Fixed Length Binary Encoding (FLBE) [10].…”

Section: Algortima Fixed Length Binary Encodingunclassified

Kinerja Algoritma Yamamoto’s Recursive Code dan Algoritma Fixed Length Binary Encoding pada Kompresi File PDF

Sihura¹,

Zebua²,

Hutabarat³

2022

JoSYC

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The use of files in digital form is currently growing and requires media to store them. The more files that store, the more storage space need. This encourages the development of file reduction techniques or data compression techniques with the aim of reducing the required storage space. The compression technique has several algorithms that can be used to compress files such as Yamamoto's recursive code algorithm and Fixed Length Binary Encoding (FLBE). These algorithms have different performance to produce quality compressed results, so they need to be compared. This study describes the analysis and comparison of the performance of the two algorithms based on the exponential method as measured by the quality of the compressed pdf file. The exponential comparison method is one of the methods of the Decision Support System (DSS) to determine the priority order of decision alternatives with multiple criteria. Compression quality parameters that are measured as an alternative comparison are the value of the ratio of compression, compression ratio, space saving. Based on the results of the comparison with Exponential Comparison Method (MPE), it was found that the fixed length binary encoding algorithm has a better performance with a value of 2.55% compared to the Yamomoto's recursive code algorithm with a smaller value of 2.22%.

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Section: Algortima Fixed Length Binary Encodingunclassified

Kinerja Algoritma Yamamoto’s Recursive Code dan Algoritma Fixed Length Binary Encoding pada Kompresi File PDF

Sihura¹,

Zebua²,

Hutabarat³

2022

JoSYC

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“…Ada dua jenis teknik dalam melakukan proses kompresi data diantaranya adalah sebbagai berikut :[6] 1. Metode lossless Metode lossless merupakan metode kompresi dimana data hasil kompresi dapat dikembalikan ke data semula tanpa menghilangkan informasi pada data [7]. Kompresi ini sangat cocok jika digunakan dalam kompresi file teks karena informasi dari data teks dapat di kembalikanke bentuk semula saat dilakukan proses dekompresi tanpa menghilangkan informasi dari data tersebut.…”

Section: Kompresi Dataunclassified

Kompresi Video Digital Menggunakan Metode Embedded Zerotree Wavelet (EZW)

Parapat

2022

comforch

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In the era of technology in the field of multimedia, especially in processing moving images or often called digital video, it is very fast and competes in image and sound quality. Video files in MP4 format are very widely used today on social media which results in little storage space remaining in memory. Data compression is a process that can convert an input data stream (original data) into another data stream (compressed data) which has a smaller size. The compression process is the process of reducing the size of a data to produce a digital representation that is dense or compact but can still represent the quantity of information contained. Digital video is a computer file that is used to store a collection of digital files such as video, audio, metadata, information, chapter divisions, and titles at once, which can be played or used through certain software on a computer. There are many data compression methods currently available, but in this study the working principle of the EZW method will be discussed. The Embedded Zerotree Wavelet (EZW) method is an image compression algorithm that is simple, very effective, has properties where the bits in the bit stream are sorted according to their importance and produces a fully embedded code

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“…Bagaimana kata kamus berasal dari bahasa Yunani kuno okeanos yang berarti lautan. Sejarah mengatakan, bahwa kata kamus memiliki makna dasar yaitu wadah pengetahuan, khususnya pengetahuan bahasa yang tidak terhingga dalam dan luasnya, seluas dan sedalam lautan [1].…”

Section: Pendahuluanunclassified

“…Istilah Punctured sendiri datang dari tempat pengawasan error kode-kode (ECC). ECC terdiri dari data yang asli kemudian ditambah sejumlah bilangan dari check bits [1].…”

Section: Algoritma Punctured Elias Codesunclassified

Penerapan Algoritma Punctured Elias Code pada Aplikasi Kamus Besar Bahasa Indonesia (KBBI) Berbasis Android

Zulkhairia

2022

JUSSI

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The large Indonesian dictionary has a large size because the quality of the resulting dictionary is better, so the file size needed for it is getting bigger. And the compression process is needed to reduce the file capacity to be smaller in order to save on the use of storage space. With a relatively large data size, during the data transfer process it can fail because the storage media does not have enough space. By performing the compression process on the large Indonesian dictionary, a process can be carried out to reduce the size of the data by reducing the bits in the large Indonesian dictionary, making it easier to carry out a data transfer process effectively. The procedure for compressing the large Indonesian dictionary (KBBI) starts from selecting the large Indonesian dictionary to be compressed, then the book will be compressed with the punctured Elias code algorithm so as to produce a compressed book that has a smaller size.2. The implementation of the punctured Elias code algorithm for compression of the Big Indonesian Dictionary (KBBI) is done by reading the hexadecimal value from a Big Indonesian Dictionary (KBBI), then changing the hex value into a new bit value in the form of a binary number, then rearranging the binary value into new character. Where the compression results are based on the ratio of 32% based on 80 bit data samples with 25 Bit compression results

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Perancangan Aplikasi Kompresi File Teks Dengan Menerapkan Algortima Fixed Length Binary Encoding (Flbe)

Cited by 9 publications

References 2 publications

Kinerja Algoritma Yamamoto’s Recursive Code dan Algoritma Fixed Length Binary Encoding pada Kompresi File PDF

Kinerja Algoritma Yamamoto’s Recursive Code dan Algoritma Fixed Length Binary Encoding pada Kompresi File PDF

Kompresi Video Digital Menggunakan Metode Embedded Zerotree Wavelet (EZW)

Penerapan Algoritma Punctured Elias Code pada Aplikasi Kamus Besar Bahasa Indonesia (KBBI) Berbasis Android

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