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The issue of plagiarism is widespread, occurring with the development of <br /> <br /> <br /> technology and the growth of information media. This becomes a negative effect <br /> <br /> <br /> if it harms one party for the use of his or her ideas by the other...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/23109 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The issue of plagiarism is widespread, occurring with the development of <br />
<br />
<br />
technology and the growth of information media. This becomes a negative effect <br />
<br />
<br />
if it harms one party for the use of his or her ideas by the other acknowledging <br />
<br />
<br />
them as his own. Cases that often occur one of them in the academic field in terms <br />
<br />
<br />
of writing scientific papers such as papers, lectures. Likewise on the use of social <br />
<br />
<br />
media as a means of sharing information, the case of plagiarism becomes a <br />
<br />
<br />
sensitive issue. <br />
<br />
<br />
In this study, the author tries to test the plagiarism that occurs on social media up <br />
<br />
<br />
by using the URL of the document compared. The method used is Latent <br />
<br />
<br />
Semantic Analysis and Smith-Waterman Algorithm which have a different <br />
<br />
<br />
characteristics approach. The research will measure the accuracy of both methods <br />
<br />
<br />
with term-document frequency and local alignment approaches on Facebook <br />
<br />
<br />
social media. Prior to the implementation of social media, testing was conducted <br />
<br />
<br />
on scientific papers, indicating that the Smith-Waterman Algorithm method had <br />
<br />
<br />
better accuracy. <br />
<br />
<br />
The conclusion of this research is the performance of Smith-Waterman Algorithm <br />
<br />
<br />
method with local alignment approach better on document testing, which is <br />
<br />
<br />
commonly used in testing the similarity of biological sequences (protein and <br />
<br />
<br />
nucleid acid sequences). Thus, this method has the opportunity to be developed <br />
<br />
<br />
again in other similarity searches such as authorship identification on a post. |
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