OPTIMIZATION OF IT MANAGEMENT OF MEDICINE INVENTORY AT NARAS HEALTH CENTER WITH MACHINE LEARNING USING THE K-MEANS ALGORITHM

Abstract

Naras Health Center is a community health center that provides health services located in North Pariaman District, Pariaman City. Naras Community Health Center has not been able to carry out pharmaceutical service activities according to plan. Data collection on drug use that has been recorded on computers also cannot provide useful information to assist in managing the amount of drug stock that must be provided. Some types of medicines sometimes experience overstocks and shortages of stock, although the quantity is not too much, this is enough to affect the Puskesmas' services to patients. Maintain the stock of drugs needed by patients. The research dataset was obtained at the Naras Community Health Center for data on demand and supply of medicines for 2 years. If this is implemented, it will be able to carry out the research process of drug supplies. When this is implemented, it will be able to carry out a prediction process for drug supplies. Research also provides a need for a prediction process using Machine Learning to see the suitability of drugs that will occur in the next period. This update can result in precise and accurate prediction results based on the performance of Machine Learning analysis. The contribution of this research can make it easier for the Naras Community Health Center to manage drug supplies so that they can maintain the stock of drugs needed by patients.