PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN HANDPHONE PADA KONTER A CELL MENGGUNAKAN ALGORITMA BAYESIAN CLASSIFICATION

The background of this research is the number of sales of electronic phone products in A Cell in Sleman Yogyakarta which is often uncertain. The company has a lot of sales transaction data stored in Ms. Excel. The data only serves as an archive, so the sale on A Cell decreases because it cannot predict the data to be used as A decision maker. The application of Data Mining method is very necessary to calculate the classification of the number of mobile phone sales that function get the percentage result of accuracy of each brand of handphone. The system can improve and build systems that are still less than optimal. In evaluating the number of mobile phone sales implemented the implementation of data mining using Bayesian classification algorithm to get the best transaction data from the results of the sales of mobile phone products that have been in prediction. Therefore, through the application of data mining using Bayesian classification algorithm is expected by the method can be used as a sales strategy to assist in increasing mobile phone sales. Keywords: data mining, algorithm of bayesian classification, the number of sales of mobile