Analisis Performa Algoritma Kompresi Data dalam Penyimpanan dan Transfer Data
DOI:
https://doi.org/10.35870/ljit.v1i2.2157Keywords:
Data Compression Algorithm, Compression Ratio, Compression Speed, Decompression SpeedAbstract
In the rapidly developing information era, efficiency in data storage and transfer becomes crucial. This research aims to analyze the performance of various data compression algorithms in the context of data storage and transfer. A literature review was conducted to understand the theoretical basis, types of compression algorithms, and factors influencing performance. The research methodology involves controlled experiments to measure compression ratios, compression and decompression speeds, as well as algorithm adaptability to data variations. The research results provide deep insight into the efficiency of each algorithm in various situations. The conclusion highlights the advantages and disadvantages of specific algorithms, providing practical recommendations for algorithm selection based on application needs.
Downloads
References
aws.amazon.com, “Apa itu migrasi data?,” https://aws.amazon.com/id/what-is/data-migration/.
Y. Darnita, K. Khairunnisyah, and H. Mubarak, “Kompresi Data Teks Dengan Menggunakan Algoritma Sequitur,” Sistemasi: Jurnal Sistem Informasi, vol. 8, no. 1, pp. 104–113, 2019.
A. D. Mahendra, E. Suryani, and A. Aziz, “Analisis Perbandingan Kinerja Kombinasi Algoritma BWT-RLE-MTF-Huffman Dan BWT-MTF-RLE-Huffman Pada Kompresi File,” ITSMART: Jurnal Teknologi dan Informasi, vol. 1, no. 2, pp. 107–115.
H. Purwanto, “Penerapan algoritma huffman pada kompresi file wave,” JSI (Jurnal sistem Informasi) Universitas Suryadarma, vol. 2, no. 2, 2018.
M. A. Masa and M. Z. Altim, “Perkembangan Dan Analisis Kompresi Data,” LOGITECH, vol. 2, no. 2, pp. 14–20, 2019.
A. J. Qasim, R. Din, and F. Q. A. Alyousuf, “Review on techniques and file formats of image compression,” Bulletin of Electrical Engineering and Informatics, vol. 9, no. 2, pp. 602–610, 2020.
L. Hiryanto and S. N. Ardhytia, “Algoritma Kompresi Fraktal Sequential dan Paralel untuk Kompresi Citra,” Jurnal Ilmu Komputer dan Informasi, vol. 3, no. 2, pp. 108–117, 2010.
A. Nur, H. Yuana, and F. Febrinita, “Aplikasi Kompresi Citra dengan Menggunakan Algoritma Lempel Ziv Welch (LZW),” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 6, no. 2, pp. 684–695, 2022.
K. Mahesa, “Rancang Bangun Aplikasi Kompresi Dan Dekompresi Pada Citra Digital Menggunakan Metode Huffman,” Jurnal Processor, vol. 12, no. 1, pp. 948–963, 2017.
L. Sodikin, T. F. Putri, and T. Hidayat, “Analisa Kompresi File Teks Menggunakan Algortima Huffman,” Journal ICTEE, vol. 3, no. 1, pp. 10–19, 2022.
H. Sulistyanto, “PEMAMPATAN DATA LOSSLESS DENGAN METODE STATIC-ADAPTIVE ARITHMETIC CODING,” 2010.
S. Widodo, “Kinerja dan Performa Algoritma Kompressi Lossless Terhadap Objek Citra Digital,” in Industrial Electronic Seminar, 2010.
S. Rahma and A. Prapanca, “Analisis Kompresi dan Dekompresi Data Teks dan Audio dengan Algoritma Run Length Encoding (RLE),” Journal of Informatics and Computer Science (JINACS), vol. 2, no. 04, pp. 313–320, 2021.
I. K. Jaya and R. Perangin-angin, “Analisa Perbandingan Rasio Kecepatan Kompresi Algoritma Dynamic Markov Compression Dan Huffman,” Sinkron: jurnal dan penelitian teknik informatika, vol. 2, no. 2, pp. 78–85, 2018.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 LANCAH: Jurnal Inovasi dan Tren
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
