Sistem Pendeteksi Plagiarisme Terhadap Abstrak Penelitian MEnggunakan Algoritma Levenshtein Distance
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Institusion
Politeknik Negeri Bengkalis
Author
Fahrowi, M. Dicky
Subject
458 Teknik Informatika
Datestamp
2023-09-13 10:13:20
Abstract :
he world of academia is currently developing rapidly. This is characterized by technology that makes it easier for users to obtain information that is freely available and free of charge, which allows for copy-paste actions without including references. With the development of this technology, writing activities are often carried out by students tocomplete final assignments, using computers, thus facilitating the practice of plagiarism. To overcome these problems, a Plagiarism Detection System Against Research Abstracts Using the Levenshtein Distance Algorithm uses the Python programming language, MongoDB as a database, with the Flask framework framework, and uses the Levenshtein Distance Algorithm with a Preprocessing process that can maximize system performance, so as to produce a good plagiarism detection system for research abstracts with a short time on certain system with an average detection time of 0,01 seconds.
he world of academia is currently developing rapidly. This is characterized by technology that makes it easier for users to obtain information that is freely available and free of charge, which allows for copy-paste actions without including references. With the development of this technology, writing activities are often carried out by students tocomplete final assignments, using computers, thus facilitating the practice of plagiarism. To overcome these problems, a Plagiarism Detection System Against Research Abstracts Using the Levenshtein Distance Algorithm uses the Python programming language, MongoDB as a database, with the Flask framework framework, and uses the Levenshtein Distance Algorithm with a Preprocessing process that can maximize system performance, so as to produce a good plagiarism detection system for research abstracts with a short time on certain system with an average detection time of 0,01 seconds.
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