Hoax Classification Using Naïve Bayes Algorithm

  • Riana Pramesti Putri Universitas Udayana
  • Ngurah Agus Sanjaya ER Universitas Udayana

Abstract

The use of social media which is so mushrooming today, has many positive impacts but does not cover the negative impacts, one of which is the misuse of information. Hoax is one of the causes of disinformation and public unrest. The speed of spread, which sometimes cannot be controlled, is one of the reasons why hoax news is still being spread every day. Therefore, it is necessary to classify hoax news with the aim of helping the public in separating the news that is being spread. This study uses the Naive Bayes algorithm as a classification model with the addition of hyperparameter tuning. The best model is produced with an alpha of 0.01 which has an accuracy of 87.9%.

Published
2022-11-25
How to Cite
PUTRI, Riana Pramesti; SANJAYA ER, Ngurah Agus. Hoax Classification Using Naïve Bayes Algorithm. Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 1, p. 181-186, nov. 2022. ISSN 3032-1948. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92596>. Date accessed: 10 jan. 2025.
Citation Formats
Issue
Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Section
Articles

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