THE APPLICATION OF THE NAÏVE BAYES ALGORITHM TO DETERMINE THE CLASSICATION OF BEST SELLING PRODUCTS ON PULSES SALES

Abstract

This research is motivated by progress of the development of communication technology and information is very fast and increasingly cheap so that makes the community for mobile phone pulses became a mandatory requitments at the presente time. Of various pulse products available at the counter RA Cell Pulses Telkomsel, Pulses XL, pulses Indosat and pulses 3 the author classify as best seller and non-sellers. The goal is to find out the implementation of data mining using the naïve bayes algorithm in determining the classification of best- selling products and the result of the accuracy of the data in the sales of pulses. By collecting 600 data into 480 training data and 120 testing data. Data mining is a form of extracting data in classifying a large amount of data, using the rapid miner application and the naïve bayes algorithm is a classification method that is widely used because of its simple and high accuracy classifying data. Based on the result of research that has been done, the type of product that is most restricted on the sale of pulses by product name is Telkomsel pulses. The level of classification accuracy with the naïve bayes method produces an accuracy value of 97,50 %, a precision value of 100 %, and recall value 93, 48% so the naïve bayes method is good in this research.Keywords: Pulses, Classification, Data Mining, Naïve Bayes.