Penerapan Algoritma Taboo Codes Pada Kompresi File Text
Abstract
The needs of modern humans and the demands of technological developments today force every individual to work a lot on computers and use all digital data, requiring everyone to use a text file manager application such as Microsoft Office to process a conventional text into a digital text file. This is because files in digital electronic form are preferred over conventional forms, due to certain factors such as data security problems, ease of processing, distribution and modification of data. The tendency of humans at this time to collect data in the form of text files and documents on a computer causes storage media on computer devices to run out faster. Moreover, at this time most individuals share text files using internet media via email or social media such as WhatsApp and telegram, meanwhile the very slow internet network in Indonesia causes the sending of large text files to take a very long time. The Taboo Codes algorithm has an approximation to the length of a variable. The initiator of the Taboo Codes Algorithm is Steven Pigeon, the principle of the Taboo Codes Algorithm, which is to select positive n numbers and reverse the n pattern to indicate the end of the code, the taboo codes algorithm works to compress text files by replacing the original binary value of each character into a binary value. The taboo codes algorithm is shorter, so compressing a text file using the taboo codes algorithm can reduce the original text file size by about 20%.
References
D. Salomon, Data Compression The Complete Reference FourthEdition, vol. 53, no. 9. 2007.
B. Fahrudin, “Penerapan Algoritma Backtracking pada Permainan Capsa Banting,” JURIKOM (Jurnal Ris. Komputer), vol. 3, no. 6, pp. 30–33, 2016.
M. R. Irliansyah, S. D. Nasution, and K. Ulfa, “Penerapan Metode Deflate Dan Algoritma Goldbach Codes Dalam Kompresi File Teks,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 1, no. 1, pp. 186–189, 2017.
Sutardi, “Implementasi dan analisis kinerja algoritma shannon- fano untuk kompresi file text,” vol. 6, no. 1, pp. 53–60, 2014.
D. Salomon, “handbook of data comression,” 2008.
D. Toradmalle, J. Muthukuru, and B. Sathyanarayana, “Compression techniques: Key to effective data transmission,” Int. J. Recent Technol. Eng., vol. 8, no. 3, pp. 3178–3181, 2019, doi: 10.35940/ijrte.C4906.098319.
J. Enterprise, Rahasia Manajemen File. Jakarta, 2010.
S. H. Mulyani, “Sistem Informasi E-Document Pada Badan Penjamin Mutu Akademik Universitas Respati Yogyakarta,” J. Teknol. Inf., vol. IX, p. 18, 2014.
P. Sulistyorini, “Pemodelan Visual dengan Menggunakan UML dan Rational Rose,” vol. XIV, no. 1, pp. 23–29, 2009.
Copyright (c) 2022 Naomi Yuni Intan Hutagalung

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).


