Abstract
In this paper, we propose and evaluate a web-based software to check similarities of documents. The resemblance value of those documents will be compared based on the percentage of its word resemblance. The similarity value will help to detect plagiarism in documents. Methods used in this application are winnowing algorithm and web-based k-gram. We evaluate the accuracy of the system by comparing the system result with the human result. The differences between the systems and the respondents are 7% with k-gram 25 and 4% with k-gram 20. Moreover, processing time of our application are also discussed.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 67-72 |
| Number of pages | 6 |
| Volume | 2017-November |
| ISBN (Electronic) | 9781538607831 |
| DOIs | |
| Publication status | Published - 9 Mar 2018 |
| Externally published | Yes |
| Event | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Phuket, Thailand Duration: 20 Nov 2017 → 22 Nov 2017 |
Other
| Other | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 |
|---|---|
| Country | Thailand |
| City | Phuket |
| Period | 20/11/17 → 22/11/17 |
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Keywords
- k-gram method
- plagiarism detection
- rabin karp
- winnowing algorithm
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Software
Cite this
Detecting documents plagiarism using winnowing algorithm and k-gram method. / Sutoyo, Rhio; Ramadhani, Insan; Ardiatma, Angger Dwi; Bavana, Sanditya Cakti; Warnars, Harco Leslie Hendric Spits; Trisetyarso, Agung; Abbas, Bahtiar Saleh; Suparta, Wayan.
2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 67-72.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detecting documents plagiarism using winnowing algorithm and k-gram method
AU - Sutoyo, Rhio
AU - Ramadhani, Insan
AU - Ardiatma, Angger Dwi
AU - Bavana, Sanditya Cakti
AU - Warnars, Harco Leslie Hendric Spits
AU - Trisetyarso, Agung
AU - Abbas, Bahtiar Saleh
AU - Suparta, Wayan
PY - 2018/3/9
Y1 - 2018/3/9
N2 - In this paper, we propose and evaluate a web-based software to check similarities of documents. The resemblance value of those documents will be compared based on the percentage of its word resemblance. The similarity value will help to detect plagiarism in documents. Methods used in this application are winnowing algorithm and web-based k-gram. We evaluate the accuracy of the system by comparing the system result with the human result. The differences between the systems and the respondents are 7% with k-gram 25 and 4% with k-gram 20. Moreover, processing time of our application are also discussed.
AB - In this paper, we propose and evaluate a web-based software to check similarities of documents. The resemblance value of those documents will be compared based on the percentage of its word resemblance. The similarity value will help to detect plagiarism in documents. Methods used in this application are winnowing algorithm and web-based k-gram. We evaluate the accuracy of the system by comparing the system result with the human result. The differences between the systems and the respondents are 7% with k-gram 25 and 4% with k-gram 20. Moreover, processing time of our application are also discussed.
KW - k-gram method
KW - plagiarism detection
KW - rabin karp
KW - winnowing algorithm
UR - http://www.scopus.com/inward/record.url?scp=85050774125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050774125&partnerID=8YFLogxK
U2 - 10.1109/CYBERNETICSCOM.2017.8311686
DO - 10.1109/CYBERNETICSCOM.2017.8311686
M3 - Conference contribution
AN - SCOPUS:85050774125
VL - 2017-November
SP - 67
EP - 72
BT - 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -