Open AccessANALYSIS WINNOWING ALGORITHM FOR TEXT PLAGIARISM DETECTION USING THREE METHOD SIMILARITY
Author(s) -
Luke Michael Febriansyah,
Shinta Estri Wahyuningrum
Publication year - 2021
Publication title -
proxies: jurnal informatika
Language(s) - English
Resource type - Journals
ISSN - 2301-9220
DOI - 10.24167/proxies.v2i2.3208
Subject(s) - jaccard index , similarity (geometry) , plagiarism detection , winnowing , computer science , longest common subsequence problem , similarity measure , algorithm , data mining , mathematics , pattern recognition (psychology) , information retrieval , artificial intelligence , engineering , mechanical engineering , image (mathematics)
Cases of plagiarism in recent years has been an issues. Based on that issues, this research will create a system to detect similarity in a text. There is an aspect as reference of the research that is analyze the plagiarism algorithm. This research will analyze the accuracy one of plagiarism check algorithm, winnowing algorithm. Winnowing algorithm is a plagiarism detection algorithm based on document fingerprinting. To calculate percentage similarity of document fingerprinting in text, there are 3 methods to measure similarity that will be used in this research, which is jaccard similarity coefficient, sorensen dice similarity coefficient, and berg similarity coefficient.