Maita, Titi Ri2022-06-152022-06-152021-12PerpustakaanElfitrahttps://repository.unri.ac.id/handle/123456789/10536Sports are exercises to strengthen and nourish the body (such as football, swimming, marathons) or activities that involve the physical and skills of individuals or teams, carried out for entertainment. FATIMA Sport Tembilahan has not analyzed its sales of sport equipment's so it does not know whether the products being sold are in great demand, either from the brands or types of products available as well as what products are selling well and what products are not selling well. This study aimed to build a system that could predict the sales of goods that were in demand and not in demand by using the C4.5 algorithm. The attributes used were the type of goods, types of sports, brands, prices, quantities and the resulting predictions are in demand and not in demand. This system designed use UML diagrams with the PHP programming language and MySQL database. The results of system testing that carried out using a confusion matrix against 54 sales data with best-selling and non-selling labels produce an accuracy rate of 85.19% .enPredictionC4.5 AlgorithmSalesSports EquipmentPREDIKSI PENJUALAN PERLENGKAPAN OLAHRAGA MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: FATIMA SPORT TEMBILAHAN)Article