PENERAPAN ALGORITMA PROBABILISTICLATENT SEMANTIC INDEXING UNTUK MENDETEKSI DUPLIKASI JURNAL DI STIKI MALANG

Kartikasari, Meivi (2018) PENERAPAN ALGORITMA PROBABILISTICLATENT SEMANTIC INDEXING UNTUK MENDETEKSI DUPLIKASI JURNAL DI STIKI MALANG. Dinamika Dotcom, 9 (2). pp. 87-94. ISSN 2086-2652

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Abstract

The impact of the development of information technology and computerization is to make easier for writers to compose a paper of scientific writing. This has an impact on the possibility of increased plagiarism. Such actions may harm the original author and plagiarist. The manual plagiarism detection process is difficult because of the large number of manuscripts, so needed the system to detect plagiarism. To build a system that can detect plagiarism, certain algorithms are needed to measure the value of similarities between the documents compared. One of the algorithms used to detect similarities is Probabilistic Latent Semantic Analysis (PLSA). This method uses the term value reference and the result of singular value decomposition (SVD) to know the closeness between documents so that it can be known the value of similarity between documents.

Item Type: Article
Subjects: Information system > Information retrieval
Computing methodologies > Artificial intelligence
Bibliography. Library Science. Information Resources > Library Science. Information Science
Divisions: Informatics Management
Depositing User: Unnamed user with username editor_perpustakaan
Date Deposited: 22 Apr 2020 03:34
Last Modified: 22 Apr 2020 03:34
URI: http://repository.stiki.ac.id/id/eprint/1383

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