Estimation of Thrombocyte Concentrate (TC) in PMI Gresik using unscented and square root Ensemble Kalman Filter

Abstract

Abstract Ministry of Health established the Indonesian Red Cross (PMI) as an organization to anticipate the need for blood by obligation to provide enough proper blood for use. Its process of delivering information related to blood donation requires the public always come to PMI. In such way it is less efficient and effective. In addition, there is no system for estimating blood stock to anticipate the blood supply needed in the next period. Blood transfusion is needed in terms of both quality and quantity by patients suffering from various health problems. Due to the urgency of blood transfusion, maintaining the stability of blood stock is a must so as not to cause blood loss due to excessive of the blood stock. To minimize such loss, blood stock prediction is needed. The objective of this study was to estimated the blood demand for blood type of Thrombocyte Concentrate (TC) or concentrated red blood cells at PMI Gresik by applying the method of Unscented Kalman Filter (UKF) and Square Root Ensemble Kalman Filter (SR-EnKF). The simulation results showed that both methods have high accuracy with an error of less than 3%.. The best simulation showed that the error between the real data and the simulation with SR-EnKF was in the order of 0.0023574 with generated 300 ensembles. Where as that with UKF was some 0.025566.