PENERAPAN SISTEM PENCARIAN ABSTRAK JURNAL BERDASARKAN KATA KUNCI MENGGUNAKAN ALGORITMA NAIVE BAYES (STUDI KASUS : ABSTRAK JURNAL STMIK BANDUNG)

Authors

  • Deddy Apriadi STMIK Bandung
  • Haris Irnawan STMIK Bandung
  • Syiffa Nurjayanti STMIK Bandung

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v12i2.176

Keywords:

searching system, naive bayes algorithm

Abstract

Document search is a search activity effort to produce the information 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 searching for text patterns, this algorithm can help document search by applying the k-gram method, document extraction, and similarity values as well as extreme programming as a software development method, to assist in searching (journal abstract) based on keywords.

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Published

2022-12-01

How to Cite

Apriadi, D., Irnawan, H., & Nurjayanti, S. (2022). PENERAPAN SISTEM PENCARIAN ABSTRAK JURNAL BERDASARKAN KATA KUNCI MENGGUNAKAN ALGORITMA NAIVE BAYES (STUDI KASUS : ABSTRAK JURNAL STMIK BANDUNG). Jurnal Teknologi Informasi Dan Komunikasi, 12(2), 50–55. https://doi.org/10.58761/jurtikstmikbandung.v12i2.176

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