OPTIMIZING BUSINESS MANAGEMENT BY PREDICTING SALES USING THE C4.5 ALGORITHM

Abstract

With the growing development of the business sector, it causes intense competition, namely how to keep the business stable and maintain business continuity by implementing good business management. Padang Vape Shop Seventeen Vapehouse 2 is one of the vape shops in Padang. The problem faced by the shop is that the shop often buys or orders vape products that are less attractive to consumers from suppliers. By ordering vape products that are less desirable to consumers, it can cause piles of vape in stores and of course this will increase inventory costs and can be detrimental to the store. And also with these conditions causes a lack of optimization in business management. One way to overcome this problem is by implementing business management by predicting sales by utilizing data mining techniques, namely the c4.5 algorithm. By utilizing sales data at the Padang Seventeen Vapehouse 2 Vape Shop, 40 product data were obtained. Of the 40 data, 22 are in demand, and 18 are not in demand. From this data, the shop knows which products are in demand and which are not in demand, so the shop can order vape products for the future according to the products consumers are interested in.