#TITLE_ALTERNATIVE#

• Main Author: AGHUST KURNIAWAN (NIM : 23514037), MOHAMAD
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23109
• Institution: Institut Teknologi Bandung

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.