Perancangan Aplikasi Deteksi Kemiripan Dokumen Teks Menggunakan Algoritma Shingling

Authors

  • Irwan Saputra Simanullang Universitas Budi Darma, Medan

DOI:

https://doi.org/10.30865/json.v2i1.2451

Keywords:

Shingling, Detection, Similarity, Document, Text

Abstract

Detection of similarity in text documents is needed to avoid the accumulation of information in a database or file system, one way to find out plagiarism between two documents by detecting the similarity of two documents to be compared to detect plagiarism, the Shingling Algorithm is an algorithm used for near-duplicate document search processes. Shingling's algorithm is implemented to detect similarities in text documents. The ease of copying information from one document to another is one of the effects of advances in information technology. And this leads to unwanted plagiarism, so that the document detection process can be minimized properly. In this study, the test results show that the application created can detect the similarity of text documents that have gone through various manipulations, namely scaling (enlarge / reduce), rotation, cropping (partially cut), and manipulating documents.

Author Biography

Irwan Saputra Simanullang, Universitas Budi Darma, Medan

Program Studi Teknik Informatika

References

A. Ilmiah, “Perancangan dan Implementasi Aplikasi Deteksi Kemiripan Citra Digital Menggunakan Algoritma Shingling dan Redundant Pixel Removal Perancangan dan Implementasi Aplikasi Deteksi Kemiripan Citra Digital Menggunakan Algoritma Shingling dan Redundant Pixel Rem,†no. 672010147, 2016.

D. Kepada, F. T. Informasi, U. Memperoleh, and G. Sarjana, “Perancangan dan Implementasi Aplikasi Deteksi Kemiripan Dokumen Menggunakan Algoritma Shingling,†2014.

A. G. N. K. Walia, “A Review. International Journal of Engineering Development and Research,†no. Cryptography Algorithms, 2014.

A. Kadir, Algoritma & Pemrograman Menggunakan C & C++. yogyakarta: andi, 2012.

P. L. Montanari, D. & Puglisi, “In Multidisciplinary Research and Practice for Information Systems,†Near Duplic. Doc. Detect. large Inf. flows, vol. Informatio, 2012.

Downloads

Published

2020-09-30

How to Cite

Simanullang, I. S. (2020). Perancangan Aplikasi Deteksi Kemiripan Dokumen Teks Menggunakan Algoritma Shingling. Jurnal Sistem Komputer Dan Informatika (JSON), 2(1), 36–41. https://doi.org/10.30865/json.v2i1.2451

Issue

Vol. 2 No. 1 (2020): September 2020

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. 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.
  2. 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.
  3. 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).