Penerapan Metode Cart Dalam Memprediksi Penjualan Produk Fast Moving Dan Slow Moving

Fuspita Dewi Savitri (Universitas Budi Darma, Medan)

Journal of Informatics, Electrical and Electronics Engineering
Vol. 1 No. 4 (2022): Juni 2022

The need for precise, precise and accurate information has become a material for companies, organizations or agencies with an interest in making and obtaining decisions that will be achieved. Decisions taken are more precise, they must be supported by relevant and accurate data. The use of information technology can generate profits and increase the efficiency of a company. The very rapid advancement of information technology creates problems in predicting fast moving and slow moving products. The problem arises because the company has not been able to anticipate things that will come in influencing the company's operations, precisely at PT. Matahari Department Store Thamrin Plaza Medan. The decision tree produced by CART is a binary tree that has attribute values ??by selecting the most optimal branching in calculating each variable. The principle of the classification tree is to separate all observations into two groups of observations into the next two groups of observations in order to obtain the minimum number of observations for each observation group.