Classification Interest Customer XL Internet Card Using Naive Bayes Algorithm At PT XML Tronik

Abstract

In the world of trade, competition within a company has become commonplace and makes business people always think about breakthroughs that can ensure the continuity of their business . Basically companies have valuable assets but are rarely used as a reference, these assets are in the form of databases with large numbers. PT.XML Tronik is a company that has been in the technology sector for a long time, one of which is selling GSM Card Providers in Indonesia. The classification method used is the Naïve Bayes Algorithm, where Naïve Bayes is used to classify statistical and probability methods . Method This research uses several stages starting from data collection , analysis sales , data processing using naïve Bayes method and proceed with measurements level accuracy use WEKA application . From the results of data mining using the Naïve Bayes Algorithm, this researcher found patterns of interest in buying XL Card customers at PT.XML Tronik . Based on the results of the analysis carried out, using 20% of the test data with negative and positive labels. So that it can produce a sign ending with an accuracy level of 84.6667% with a precision of 97% and a recall of 83%.