Vol 8 No 2 (2018): September 2018

Mendeteksi Plagiarism Pada Dokumen Proposal Skripsi Menggunakan Algoritma Jaro Winkler Distance

Christina, Sherly, Oktaviyani, Enny Dwi, Famungkas, Buyung

Article Info

Publish Date
19 Sep 2018


The practice of plagiarism among students in working on their thesis might happen. Plagiarism is done considering to the limited workmanship and lack of motivation to try with their own ability. It is necessary to provide a tool to prevent the act of plagiarism among the students. In this research, we built an application to detect the plagiarism on the thesis proposal. The application applies the Jaro Winkler Distance algorithm to detect the similarity from several documents. The first phase to detect the similarity of the thesis proposals is The text preprocessing phase of the document such as case folding, tokenizing,  stopwords removal and stemming. Precision and Recall formula will be used to analyze the performance of the method in application. The test result of the data set shows the application could find the 80% relevant data that indicated the similarity. It means the application could contribute to detect the plagiarism on the thesis proposal document.

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Journal Info





Computer Science & IT Decision Sciences, Operations Research & Management


Jurnal Saintekom terbit setiap 6 bulan (2 kali setahun; Maret dan September). Jurnal Saintekom mengundang semua pihak untuk berpartisipasi mengirimkan artikel sesuai dengan misi jurnal. Jurnal Saintekom versi cetak dengan ISSN 2088-1770 dan versi online dengan ISSN ...