Penerapan Data Mining Untuk Klasifikasi Produk Terlaris Menggunakan Algoritma Naive Bayes Pada Bengkel Motor

Abstract

Aldo Motor Workshop is one of motorcycle workshops in Palembang City, South of Sumatera.This workshop provides services for motorcycle repairs and sells motorcycle spare parts such as oil, lights, spark plugs and others. This workshop has a problem, namely that product that are in demand are often out of stock while for products that are less in demand, the stock of product has accumulated. To solve this problem, a classification data mining analysis is carried out using the naive bayes algorithm using the rapid miner application. The data used is sales data from May 2023 – October 2023. Based on the results of data processing, the accuracy results is 86.77%, precision is 85.395 and recall value is 76%. These results show that the naive bayes algorithm can be used to determine the best selling products at the Aldo Motor Workshop