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

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, f...

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Bibliographic Details
Published in2013 International Conference of Information and Communication Technology (ICoICT) pp. 128 - 133
Main Authors Wibowo, Agung Toto, Sudarmadi, Kadek W., Barmawi, Ari M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2013
Subjects
Accuracy
Algorithm design and analysis
Classification algorithms
Clustering algorithms
Communications technology
Dice Coefficient
Fingerprint
Fingerprint recognition
Plagiarism
Plagiarism Detection
Winnowing
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Summary: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.
ISBN:1467349909
9781467349901
DOI:10.1109/ICoICT.2013.6574560