Estimation of Whole Blood(WB) and Anti-Hemophiliate Factor using Extended Kalman Filter in PMI Surabaya

Abstract

Abstract Every hospital is required to have a Hospital Blood Bank (HBB), a service unit of the hospital responsible for the availability of blood for safe transfusion, of high quality and sufficient to support health services in the hospital and other health care centers. PMI (Indonesian Red Cross) continues to campaign for blood donations as part of a lifestyle (lifestyle). Every year, PMI set its targets of up to 4.5 million blood bags to meet the national blood needs, adjusted to the standards of the International Health Institute (WHO), which is 2% of the population for each day. With a continuous campaign by PMI, the stability of blood stock and distribution on target must be maintained, and the importance of blood distribution both blood coming from blood donors and blood distributed to PMI or other regional hospitals must be taken into account, therefore a software is required to estimate blood stock.for the blood banks. In this paper an estimation of Whole Blood (WB) and Anti-Hemophiliate Factor (AHF) blood demand was made at PMI Surabaya. Estimation is made because a problem can sometimes be solved by using the previous information or data related to the problem. One estimation method used was Extended Kalman Filter (EKF), an estimation method with a fairly high degree of accuracy. Based on the simulation results, a numerical study was obtained based on the number of iterations, and that with 350 iterations showed a higher accuracy than those with 250 and 150 iterations. The accuracy reached was within the range of 95-98 %.