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DOCUMENT PLAGIARISM DETECTION USING DAMERAU LEVENSHTEIN ALGORITHM AND QUERY EXPANSION

Aditya, Christian Sri Kusuma and Nastiti, Vinna Rahmayanti Setyaning (2019) DOCUMENT PLAGIARISM DETECTION USING DAMERAU LEVENSHTEIN ALGORITHM AND QUERY EXPANSION. In: Prosiding SENTRA (Seminar Teknologi dan Rekayasa). Fakultas Teknik Universitas Muhammadiyah Malang Kampus III, Malang, pp. 85-89. ISBN 9772527605006

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Abstract

Plagiarism is considered a criminal act provided in the Law of the Republic of Indonesia Number 19 Year 2002 about Copyright, therefore plagiarism activities should be avoided. Computerized plagiarism detection needs to be done to reduce plagiarism against another people's work rapidly. One of the plagiarist's efforts in avoiding the existing plagiarism detection application is manipulating documents by replacing many words with synonyms. This research proposes a design of plagiarism detection application by considering synonyms of words in documents, so that it can recognize documents even though the content is different, but the context is same. From the experiments that has been conducted, by comparing Damerau Levenshtein and Levenshtein Algorithm, the similarity values are relative similar for the handling of test case overall. But the handling of the case documents for typographical errors, Damerau Levenshtein Distance can recognize plagiarism documents better indicated by a higher similarity value 77,32%. And after integrated with query expansion, it can get significant result by detecting synonym words, so the application can detect document plagiarism more qui eter well

Item Type: Book Section / Proceedings
Keywords: Damerau Levenshtein Distance, plagiarism document, string matching
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Christian Sri Kusuma Aditya
Date Deposited: 14 Jan 2020 01:57
Last Modified: 14 Jan 2020 01:57
URI : http://eprints.umm.ac.id/id/eprint/58290

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