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Ulinnuha, Nurissaidah
Universitas Islam Negeri Sunan Ampel, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Implementation of Winnowing Algorithm for Document Plagiarism Detection Ulinnuha, Nurissaidah; Thohir, Muhammad; Novitasari, Dian Candra Rini; Asyhar, Ahmad Hanif; Arifin, Ahmad Zaenal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.112 KB) | DOI: 10.11591/eecsi.v5.1599

Abstract

Plagiarism prevention efforts are being evolved in various sector. Designing and developing plagiarism checker applications is the purpose of this paper. Specifically by knowing the percentage of similarity between the original document and the test document. Winnowing algorithm is used because it can detect plagiarism in documents up to sub-section of the document. In this paper using three validators consisting of computational mathematicians, software engineering experts, and users to test the feasibility of the application. Experiment using several scenarios, the result of the equation using winnowing algorithm is 90.12%.
Co-Authors Ahmad Hanif Asyhar Arifin, Ahmad Zaenal Dian Candra Rini Novitasari Thohir, Muhammad