Webpage Classification Using Naïve Bayes Classifier and Information Retrieval Method to Block the Pornography Contents

Andreas, Andreas and Hartanti, Lusia Permata Sari (2017) Webpage Classification Using Naïve Bayes Classifier and Information Retrieval Method to Block the Pornography Contents. Webpage Classification Using Naïve Bayes Classifier and Information Retrieval Method to Block the Pornography Contents, 6 (4). pp. 153-157. ISSN : 2010-3751

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Abstract

The need of information is such magnitude. It would trigger advances in information technology. Many things can be done by using the internet. The main objective that people use the Internet is to find the information. Unfortunately, not all the information available on the internet it is true and good consumed. There are plenty of information on the internet which is a hoax and contains elements that are contrary to morals and ethics such as terrorism, racism, and pornography. Thus, it required a strong faith and knowledge to be able to sort the incoming information. Due there are many children who also use the internet and conditions where the parents cannot supervise the activities of their children continuously, it would require an application that is embedded in the web browser so that bad content can be blocked automatically. This article focuses on the research of handling pornographic content on the text based webpages. It needed a smart application to be able to distinguish text that contains pornography. Thus, we are implementing artificial intelligence into our research by applying Naive Bayes and information retrieval method. As a result, the application is able to block 88.02% of the pornographic content.

Item Type:	Article
Uncontrolled Keywords:	Information retrieval, pornography, smart system, web content filtering.
Subjects:	Engineering > Industrial Engineering
Divisions:	Journal Publication
Depositing User:	F.X. Hadi
Date Deposited:	03 Sep 2021 07:52
Last Modified:	21 Sep 2022 02:59
URI:	http://repository.ukwms.ac.id/id/eprint/26288

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