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dc.contributor.authorAndreas
dc.contributor.authorHartanti, Lusia Permata Sari
dc.date.accessioned2020-04-01T06:32:36Z
dc.date.available2020-04-01T06:32:36Z
dc.date.issued2017-07-23
dc.identifier.urihttp://hdl.handle.net/123456789/1679
dc.description.abstractThe 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 contenten_US
dc.language.isoenen_US
dc.subjectPornographyen_US
dc.subjectWeb content filteringen_US
dc.subjectSmart systemen_US
dc.subjectInformation retrievalen_US
dc.titleWebpage Classification Using Naïve Bayes Classifier and Information Retrieval Method to Block the Pornography Contentsen_US
dc.typeJournalen_US


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