JAIS (Journal of Applied Intelligent System)
Vol 7, No 1 (2022): Journal of Applied Intelligent System

Cross-Language Text Document Plagiarism Detection System Using Winnowing Method

Mustika Mentari (State Polytechnic of Malang)
Imam Fahrur Rozi (State Polytechnic of Malang)
Maria Puji Rahayu (Unknown)



Article Info

Publish Date
19 May 2022

Abstract

Currently, there are many text documents such as journals scattered on the internet, both Indonesian and English-language journals. With this, it is possible to act plagiarism by copying from foreign journals that are translated into other languages or copying directly without being changed from the original language. One way that can suppress these actions is to build a plagiarism detection system for cross-language text documents. The method that can be used to detect document plagiarism is the Winnowing method. Winnowing method is a method where text input will be processed to produce a hash value called a fingerprint. This study aims to build a system that can detect plagiarism of text documents in different languages using the Winnowing method. Text documents that can be tested are input text and PDF files. Documents used in system testing are journals that have the same topic. The results of the highest level of accuracy produced between the calculation of the Jaccard Coefficient with the Plagiarism Checker X application are in the fourth scenario with an average percentage value of 84.7%.

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Journal Info

Abbrev

JAIS

Publisher

Subject

Description

Journal of Applied Intelligent System (JAIS) is published by LPPM Universitas Dian Nuswantoro Semarang in collaboration with CORIS and IndoCEISS, that focuses on research in Intelligent System. Topics of interest include, but are not limited to: Biometric, image processing, computer vision, ...