Implementasi Algoritma K-Nearest Neighbour dalam Memprediksi Stok Sepeda Motor

PT. Dasatama Cemerlang Motor is a company engaged in the automotive sector. With increasingly fierce competition among industry, companies are required to be able handle inter-industry competition. Sales system uses cash or credit system. For every motorcycle sale, admin inputs sales data using Ms.Excel. Even though Ms.Excel has many features and functions that used process numbers, it cannot predict annual for future as reference marketing strategy. Because of that, forecasting needed which will help find out trend number coming year. The KNN algorithm one methods classification analysis, but last few decades method also been prediction. looks shortest distance between evaluated its K closest neighbors. results achieved this study resulted motorcycles each brand sold 2022 obtained from addition 5 sale brand. Based on research results, prediction accuracy rate 97%.