Implementation of Journal Abstract Search System Based on Keywords Using Naive Bayes Algorithm Case Study of STMIK Bandung Journal Abstract

Authors

  • Dedy Apriyadi Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Haris Irnawan Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Syiffa Nurjayanti Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v11.i2.106

Keywords:

naive bayes, metode k-gram, pencarian, dokumen

Abstract

Document search is an effort to search for information that is sought, along with the development of effective technology used and in presenting detailed information, consumer needs for information in the form of journals or scientific articles are increasing. Naive Bayes is a data mining algorithm in text pattern search, this algorithm can help document search by applying the k-gram method, document extraction, and similarity values ​​and extreme programming as a software development method, to assist in searching (journal abstracts) based on keywords.

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Author Biographies

  • Dedy Apriyadi, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

  • Haris Irnawan, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

  • Syiffa Nurjayanti, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

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Published

2022-12-01

Issue

Vol. 11 No. 2 (2022): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi

Section

Articles

Categories

License

Copyright (c) 2022 Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Implementation of Journal Abstract Search System Based on Keywords Using Naive Bayes Algorithm Case Study of STMIK Bandung Journal Abstract. (2022). Jurnal Penelitian Dan Pengembangan Teknologi Informasi Dan Komunikasi, 11(2), 50-55. https://doi.org/10.58761/jurtikstmikbandung.v11.i2.106