Comparison between fingerprint and winnowing algorithm to detect plagiarism fraud on Bahasa Indonesia documents

Author

Wibowo, Agung Toto ; Sudarmadi, Kadek W. ; Barmawi, Ari Moesriami

Author_Institution

Fac. of Inf., Telkom Inst. of Technol., Bandung, Indonesia

fYear

2013

fDate

20-22 March 2013

Firstpage

128

Lastpage

133

Abstract

Plagiarism detection has been widely discussed in recent years. Various approaches have been proposed such as the text-similarity calculation, structural-approaches, and the fingerprint. In fingerprint-approaches, small parts of document are taken to be matched with other documents. In this paper, fingerprint and Winnowing algorithm is proposed. Those algorithms are used for detecting plagiarism of scientific articles in Bahasa Indonesia. Plagiarism classification is determined from those two documents by a Dice Coefficient at a certain threshold value. The results showed that the best performance of fingerprint algorithm was 92.8% while Winnowing algorithm´s best performance was 91.8%. Level-of-relevance to the topic analysis result showed that Winnowing algorithm has got stronger term-correlation of 37.1% compared to the 33.6% fingerprint algorithm.

Keywords

copy protection; fraud; security of data; text analysis; Bahasa Indonesia document; Winnowing algorithm; dice coefficient; fingerprint algorithm; plagiarism classification; plagiarism fraud detection; scientific articles; text similarity calculation; topic analysis; Accuracy; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Communications technology; Fingerprint recognition; Plagiarism; Dice Coefficient; Fingerprint; Plagiarism Detection; Winnowing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology (ICoICT), 2013 International Conference of

Conference_Location

Bandung

Print_ISBN

978-1-4673-4990-1

Type

conf

DOI

10.1109/ICoICT.2013.6574560

Filename

6574560