PERBANDINGAN ANTARA NAIVE BAYES DAN SINGLELAYER PERCEPTRON UNTUK PENDETEKSIAN SPAM EMAIL

TAMIMY, MUHAMMAD ZAKI and Samsuryadi, Samsuryadi and Saputra, Danny Matthew (2018) PERBANDINGAN ANTARA NAIVE BAYES DAN SINGLELAYER PERCEPTRON UNTUK PENDETEKSIAN SPAM EMAIL. Undergraduate thesis, Sriwijaya University.

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Abstract

Spam issues in e-mails need to be addressed so as not to interfere with e-mail user convenience. The most common method for detection of anti-spam works by separating or grouping the contents of the email and then studying a number of spam emails that have been detected. The spam email detection method used by the Naïve Bayes Classifier (NB) and Single-Layer Perceptron Classifier (SLP) respectively have resulted in accuracy performance of 88,75% and 81,25. The NB method is 7,50% higher than the SLP method for spam detection.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Naïve Bayes Classifier, Spam Email, Single-Layer Classifier.
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	30 Sep 2019 01:47
Last Modified:	30 Sep 2019 01:47
URI:	http://repository.unsri.ac.id/id/eprint/9527

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