BibTeX
@article{IJASEIT8844,
author = {Alam Rahmatulloh and Neng Ika Kurniati and Irfan Darmawan and Adi Zaenal Asyikin and Deden Witarsyah J},
title = {Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {9},
number = {4},
year = {2019},
pages = {1124--1128},
keywords = {Nazief-Adriani; plagiarism; porter; stemmer; winnowing.},
abstract = {Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8844},
doi = {10.18517/ijaseit.9.4.8844}
}
EndNote
%A Rahmatulloh, Alam
%A Kurniati, Neng Ika
%A Darmawan, Irfan
%A Asyikin, Adi Zaenal
%A Witarsyah J, Deden
%D 2019
%T Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism
%B 2019
%9 Nazief-Adriani; plagiarism; porter; stemmer; winnowing.
%! Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism
%K Nazief-Adriani; plagiarism; porter; stemmer; winnowing.
%X Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8844
%R doi:10.18517/ijaseit.9.4.8844
%J International Journal on Advanced Science, Engineering and Information Technology
%V 9
%N 4
%@ 2088-5334
IEEE
Alam Rahmatulloh,Neng Ika Kurniati,Irfan Darmawan,Adi Zaenal Asyikin and Deden Witarsyah J,"Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 4, pp. 1124-1128, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.4.8844.
RefMan/ProCite (RIS)
TY - JOUR
AU - Rahmatulloh, Alam
AU - Kurniati, Neng Ika
AU - Darmawan, Irfan
AU - Asyikin, Adi Zaenal
AU - Witarsyah J, Deden
PY - 2019
TI - Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 4
Y2 - 2019
SP - 1124
EP - 1128
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - Nazief-Adriani; plagiarism; porter; stemmer; winnowing.
N2 - Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8844
DO - 10.18517/ijaseit.9.4.8844
RefWorks
RT Journal Article
ID 8844
A1 Rahmatulloh, Alam
A1 Kurniati, Neng Ika
A1 Darmawan, Irfan
A1 Asyikin, Adi Zaenal
A1 Witarsyah J, Deden
T1 Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 4
YR 2019
SP 1124
OP 1128
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Nazief-Adriani; plagiarism; porter; stemmer; winnowing.
AB Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8844
DO - 10.18517/ijaseit.9.4.8844
