Prediksi Pemenuhan Kebutuhan Darah Dengan Metode Least Square di UTD PMI Kabupaten Cianjur Jawa Barat

Abstrak

Blood transfusion services are part of health care efforts as a form of life-saving intervention for patients. Based on World Health Organization (WHO) standards, the minimum blood requirement in Indonesia is around 5.1 million blood bags per year (2% of Indonesia's population). The Blood Transfusion Unit (UTD) has the responsibility to fulfill the availability of blood. The fulfillment of blood needs by UTD PMI Cianjur Regency is still fluctuating so that an inventory control or prediction system is needed that can determine and guarantee the right inventory in the right quantity of time. One of the prediction systems is the least square method which uses past data to forecast future data. This study aims to determine whether the least square method can be used and what is the level of predictive ability of the least square method in predicting the fulfillment of blood needs at UTD PMI Cianjur Regency, West Java. This descriptive case study research uses internal secondary data in the form of WB, PRC, FP, and TC blood demand data which are processed to predict blood demand using the least square method, and tested for prediction error using the Mean Absolute Precentance Error (MAPE) method. The result is that the least square method can be used to predict blood demand with the lowest prediction error value of 0.6% in October PRC prediction and the highest prediction error value of 3.6% in September WB prediction.