MATEC Web Conf.
Volume 164, 2018The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|Number of page(s)||11|
|Published online||23 April 2018|
Implementation of Winnowing Algorithm Based K-Gram to Identify Plagiarism on File Text-Based Document
Sistem Informasi, Program Studi Sistem Informasi, Universitas Jember (UNEJ), Jl. Kalimantan 37, Jember 68121, Indonesia
2 Advances Informatics School, Universiti Teknologi Malaysia, Level 5, Menara Razak, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
* Corresponding author: firstname.lastname@example.org
Plagiarism occurs when the students have tasks and pursued by the deadline. Plagiarism is considered as the fastest way to accomplish the tasks. This reason makes the author tried to build a plagiarism detection system with Winnowing algorithm as document similarity search algorithm. The documents that being tested are Indonesian journals with extension .doc, .docx, and/or .txt. Similarity calculation process through two stages, the first is the process of making a document fingerprint using Winnowing algorithm and the second is using Jaccard coefficient similarity. In order to develop this system, the author used iterative waterfall model approach. The main objective of this project is to determine the level of plagiarism. It is expected to prevent plagiarism either intentionally or unintentionally before our journal published by displaying the percentage of similarity in the journals that we make.
Key words: Jaccard's coefficient / Plagiarism / Winnowing algorithm
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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