JAIS (Journal of Applied Intelligent System)
Vol 6, No 1 (2021): Journal of Applied Intelligent System

Comparation of Dice Similarity and Jaccard Coefficience Against Winnowing Algorithm For Similarity Detection of Indonesian Text Documents

Santi Purwaningrum (Politeknik Negeri Cilacap)
Agus Susanto (Politeknik Negeri Cilacap)
Nur Wachid Adi Prasetya (Politeknik Negeri Cilacap)



Article Info

Publish Date
10 May 2021

Abstract

Plagiarism is the act of imitating and quoting and even copying or acknowledging other people's work as one's own work. Plagiarism is currently growing rapidly, especially in the world of education. So that plagiarism detection is needed to prevent plagiarism from growing rapidly. In response to this, this paper intends to conduct research that compares the dice similarity and the jaccard coefficient to find the best document similarity value level against the Winnowing algorithm which functions to find the fingerprint value of each document. The test results show that the winnowing algorithm is quite good at using the dice similarity level with the results of an average similarity value of 71.17615%  than testing using jaccard coefficient with the resulting value 35,58837%.

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Journal Info

Abbrev

JAIS

Publisher

Subject

Description

Journal of Applied Intelligent System (JAIS) is published by LPPM Universitas Dian Nuswantoro Semarang in collaboration with CORIS and IndoCEISS, that focuses on research in Intelligent System. Topics of interest include, but are not limited to: Biometric, image processing, computer vision, ...