Pengendalian Persediaan Obat dengan Metode K-MEANS Clustering dan Fuzzy Inventory

Abstract

Optimal management of drug supplies provides savings in drug procurement costs. Drug planning at the UPT Pharmaceutical Installation of the XYZ Regency Health Office is still not optimal, because there are still shortages and excesses of drugs caused by ordering data that is difficult to obtain with certainty because it often changes depending on the conditions that occur, thus affecting the method of planning drug needs at the Pharmaceutical Installation. The purpose of this study was to control drug inventory at the UPT Pharmaceutical Installation of the XYZ Regency Health Office. The processing of drug inventory control begins with grouping drugs based on their use using the K-means algorithm which produces 3 clusters. After that, a combination of grouping is carried out using the VEN method (Vital, Essential, and Non-Essential) which results in 9 combinations, with a total of 19 types of vital drugs, 156 types of essential drugs, and 46 types of non-essential drugs. Then demand forecasting is carried out from 2 combinations using ARIMA (Autoregressive Integrated Moving Average) and inventory control is carried out using the Fuzzy Inventory method. The results showed that inventory costs in the last 2 periods have decreased after the implementation of fuzzy inventory control.