ANALISA PERBANDINGAN ALGORITMA LEVENSHTEIN DISTANCE DAN COSINE SIMILARITY PADA KASUS PLAGIARISME

MARWANSAH, SARNIKO and Fachrurrozi, Muhammad and Yusliani, Novi (2019) ANALISA PERBANDINGAN ALGORITMA LEVENSHTEIN DISTANCE DAN COSINE SIMILARITY PADA KASUS PLAGIARISME. Undergraduate thesis, Sriwijaya University.

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Abstract

Plagiarism is a crime committed by stealing or taking someone's work or ideas which are then made as if his own. In overcoming it requires an effective method, namely the automatic method. In this research the Levenshtein Distance and Cosine Similarity methods are used to detect plagiarism. The results of the comparison of the two methods found that the two methods namely the Levenshtein Distance and Cosine Similarity methods have the same level of accuracy based on 50 times the test. The results of the average percentage of similarity from the detection of text similarity using the Levenshtein Distance and Cosine Similarity algorithms in this study were 100% at 100% actual similarities, 19.81% at 80% actual similarities, 39.86% at 60% actual similarities , 60.04% in actual similarities 40%, and 79.85% in actual similarities 20%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Plagiarisme, Levenshtein Distance, Cosine Similarity.
Subjects: P Language and Literature > P Philology. Linguistics > P98-98.5 Computational linguistics. Natural language processing
Divisions: Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Sarniko Marwansah
Date Deposited: 28 Jan 2020 04:39
Last Modified: 28 Jan 2020 04:39
URI: http://repository.unsri.ac.id/id/eprint/25977

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