Pembangunan Spam E-Mail Filtering System dengan Metode Naive Bayesian

Abstract

Electronic mail (e-mail) is a medium of communication in the intranet or the internet to transfer information in the form of files which can even be used for a media company or advertising a particular product. For e-mail facilities are cheap and easy to send to any number of recipients then use some specific parties by sending an e-mail containing promotional products or services, pornography, viruses, and things that are not important to the thousands of users of e-mail which is referred to e-mail spam. Based on existing problems, then it should be done to filter spam that uses spam can be prevented optimally by e-mail filtering. The method used is one method of e-mail filtering is the most popular Naive Bayesian filtering. The method utilizes a theorem of probability that Bayes theorem and data mining functionality, namely Naive Bayesian classification. Excess Naive Bayesian filtering is a high degree of accuracy and minimum error rate.