Pengaruh Algoritma Stemming Nazief-Adriani Terhadap Kinerja Algoritma Winnowing Untuk Mendeteksi Plagiarisme Bahasa Indonesia

Nugroho I., Hargyo Tri (2017) Pengaruh Algoritma Stemming Nazief-Adriani Terhadap Kinerja Algoritma Winnowing Untuk Mendeteksi Plagiarisme Bahasa Indonesia. Ultima Computing : Jurnal Sistem Komputer, 9 (1). pp. 36-40. ISSN 2355-3286

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Abstract

Winnowing algorithm is one among many algorithms for detecting document similarity and plagiarism. Some studies show that Winnowing algorithm performs quite well. One form of plagiarism is paraphrase plagiarism. Paraphrase plagiarism can be done by changing sentence structure, changing vocabulary, and adding or changing affixes. Based on some of our previous experiments, detecting document resemblances can be enhanced by changing the words containing affixes to their basic words. In computer science, this technique is known as stemming - a technique to extract the basic word from an affixed word. Usually this technique is required in the filtering process to save storage media. For Indonesian, the Nazief-Adriani stemming algorithm is by far the most appropriate. This study examines how the effect of Nazief-Adriani stemming algorithm on Winnowing algorithm's performance against Indonesian texts. The results showed that the stemming process using Bloom-Filter on the Winnowing algorithm tends to decrease the similarity level achieved, but it accelerates processing time by approximately 30%.

Item Type: Article
Keywords: Algoritma Nazief-Adriani, Algoritma Winnowing, Bloom-Filter, Plagiat, Plagiat Checker
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.2 Programming for Specific Computers, Algorithm, HTML, PHP, java, C++
400 Language > 400 Language > 400 Language
600 Technology (Applied Sciences) > 600 Technology > 607 Education, Research, Related Topics
Divisions: Faculty of Engineering & Informatics > Computer Engineering
Depositing User: Administrator UMN Library
Date Deposited: 02 Dec 2021 15:55
Last Modified: 18 Aug 2023 03:01
URI: https://kc.umn.ac.id/id/eprint/19325

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