IMPLEMENTASI ALGORITMA C4.5 DALAM PENGENDALIAN PERSEDIAAN REMPAH-REMPAH PADA CV. ALPHA AGRO INDONESIA

Inventory control is an important aspect in maintaining the smooth operation of a company, especially in the era of industry 4.0 which demands efficiency and accuracy in stock management. CV. Alpha Agro Indonesia as a spice trading company often faces problems with stock shortages due to unpredictable sales fluctuations. The main problem in this study is how to implement the C4.5 algorithm to help control spice inventory so that stock availability is always optimal. The purpose of this study is to design a decision support system that is able to classify the sales status of goods into "Best Selling" or "Not" based on inventory and sales data. The method used is the C4.5 algorithm with an information gain approach to form a decision tree, while the research data is in the form of spice sales and inventory records in .xlsx format. The results of white box testing on six test data showed an accuracy level of 50%, with three correct predictions and three incorrect predictions. The sensitivity value was recorded at 0% while the specificity was 50%, which indicates the system is better at recognizing the "Not" category. The implementation of the C4.5 algorithm can help provide recommendations regarding spice stock control needs, although there is still a need to increase the number of test data for optimal system accuracy.