PENGARUH ABSTRACT SYNTAX TREE PADA SISTEM DETEKSI KEMIRIPAN KODE SUMBER MENGGUNAKAN ALGORITMA RATCLIFF/OBERSHELP

SHOLEH, MUHAMMAD and Abdiansah, Abdiansah and Utami, Alvi Syahrini (2022) PENGARUH ABSTRACT SYNTAX TREE PADA SISTEM DETEKSI KEMIRIPAN KODE SUMBER MENGGUNAKAN ALGORITMA RATCLIFF/OBERSHELP. Undergraduate thesis, Sriwijaya University.

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Abstract

In today’s technological era, source code has become something that is mostly written. Among the diversity of existing programming source code, many of them are the result of acts of plagiarism. Process of detecting plagiarism in the source code is not an easy to do. Based on the information above, this research uses the Abstract Syntax Tree method because of its ability to determine the structure of a source code which is then represented by tokens. The Ratcliff/Obershelp algorithm was chosen to perform similarity calculations based on the token structure of the source code. The data used in this study amounted to 25 source code documents with details of 5 main source code documents and 20 modified source code documents. The results of this study indicate that the Abstract Syntax Tree method affects the calculation of the similarity of the source code, and also the developed system can detect the similarity of the source code using the Ratcliff/Obershelp algorithm.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Abstract Syntax Tree, Deteksi Kemiripan, Kode Sumber, Plagiarisme, Ratcliff/Obershelp
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Muhammad Sholeh
Date Deposited: 31 Mar 2022 01:52
Last Modified: 31 Mar 2022 01:52
URI: http://repository.unsri.ac.id/id/eprint/67641

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