Authors : Yanuar Nurdiansyah and Fiqih Nur Muharrom
Abstract: 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 research 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 txt. Similarity calculation process through two stages, the first is the process of making a document fingerprint using winnowing algorithm and the sec is using Jaccard coefficient similarity. In order to develop this system, the research 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.
Yanuar Nurdiansyah and Fiqih Nur Muharrom, 2018. Implementation of Winnowing Algorithm Based K-Gram to Identify Plagiarism on File Text-Based Document. Journal of Engineering and Applied Sciences, 13: 8119-8125.