PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENJUALAN PRODUK ICONNET

ICONNET, which is a product from PT Indonesia Comnets Plus for the retail customer segment, new internet provider. ICONNET intends to provide best Indonesian people. They need have strategy in order continue increase sales of their products. In process, one way know history customers. Is it accordance with target or not. So if has not been met, can be used as performance evaluation, especially marketing and team. Therefore, authors created prediction system by implementing Naive Bayes Classifier Algorithm predict products based on previously recorded data. Testing black box method testing. The resulting output web-based system. percentage accuracy test results are 89.189%. While testing obtained score grade A (91%). It hoped thet future this developed more attention user needs.