PENDETEKSI PLAGIAT PADA PROPOSAL SKRIPSI MAHASISWA FMIPA UNIVERSITAS RIAU MENGGUNAKAN ALGORITMA BOYER MOORE BERBASIS WEB
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Date
2020-08
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Abstract
The process of selecting thesis proposal titles submitted manually by Information System
Department’s students in University of Riau is considered to be less effective and efficient
because the number of student thesis titles will increase every year. The purpose of this
study is to facilitate the mechanism by detecting similarities plagiarism in the title of the
documents using Boyer Moore's algorithm and supported by Text Preprocessing, TF and
Cosine Similarity method. This system was developed using python programming
language with MySQL as the database server and UML as the system design. The result
obtained from this study was a similarity percentage from the thesis proposal title
submitted against the existing thesis titles in which the higher the percentage indicated,
the higher the degree of similarity between the two titles.
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Keywords
Boyer Moore, Cosine Similarity, Text Preposcessing, TF Method, Thesis Proposal