Perbandingan Hasil Deteksi Plagiarisme Dokumen dengan Metode Jaro-Winkler Distance dan Metode Latent Semantic Analysis

Comparison of Document Plagiarism Detection Results by Jaro-Winkler Distance and Latent Semantic Analysis Methods

*Tinaliah Tinaliah -  Department of Informatics Management, Akademi Manajemen dan Informatika MDP Palembang, Indonesia
Triana Elizabeth -  Department of Information System, STMIK Global Informatika MDP Palembang, Indonesia
Received: 27 Nov 2017; Published: 31 Jan 2018.
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer

Various methods are applied in the application of plagiarism detection to help check the similarity of a document. Jaro-Winkler Distance can measure the distance between two strings. However, this method basically depends on the position of the word. Latent Semantic Analysis emphasizes the words contained in the document regardless of its linguistic character. This study compares the results of plagiarism detection using the Jaro-Winkler Distance and the Latent Semantic Analysis method. From comparing results of  Jaro-Winkler Distance method and Latent Semantic Analysis method, Jaro-Winkler Distance method is better than Latent Semantic Analysis method if using the same test data. Jaro-Winkler Distance method will give plagiarism result 100% and Latent Semantic Analysis method will give plagiarism result 97,14%.

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Keywords
Plagiarism; undergraduated thesis; Jaro-Winkler distance; Latent Semantic Analysis

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In Volume 6, Issue 1, Year 2018 (January 2018)
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