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All Journal Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Kesuma, Mahfuzhah
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Electrical & Electronics Engineering Engineering Mechanical Engineering

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KLASIFIKASI SPAM EMAIL OTOMATIS MENGGUNAKAN ALGORITMA NAÏVE BAYES: - Zianah Nafisah Simbolon; Kesuma, Mahfuzhah; Dedek Dedek; Muhammad Rayhans Adrian; Khairul Arifin
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v5i3.6128

Abstract

Abstract: The rapid development of information technology has intensified data exchange through email. However, this also increases the risk of spam distribution, which can compromise privacy, reduce productivity, and potentially pose security threats. This study aims to implement the Naïve Bayes algorithm to automatically classify emails into spam and non-spam categories. The Naïve Bayes method was chosen due to its ability to handle large datasets, efficient computational process, and high accuracy in text-based classification tasks. The research stages include collecting an email dataset, performing text preprocessing such as tokenization, stopword removal, and stemming, followed by training the model using the Naïve Bayes algorithm. The experimental results show that the developed model can classify emails with good accuracy and relatively short computation time.
Co-Authors Dedek Dedek Khairul Arifin Muhammad Rayhans Adrian Zianah Nafisah Simbolon