
Estimation of Packed Red Cells (PRC) in Bojonegoro blood bank using Modified Kalman Filter
Author(s) -
Abdul Muhith,
Teguh Herlambang,
Dinita Rahmalia,
Denis Fidita Karya
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2157/1/012023
Subject(s) - extended kalman filter , kalman filter , blood supply , blood transfusion , medicine , computer science , surgery , artificial intelligence
Blood Transfusion Unit (UTD) as a blood supply provider is required to meet the demand for blood, but in reality, the blood stock does not always meet the blood demand. The blood type stocks in the Blood Transfusion Unit (UTD) relies on blood donors voluntarily donating their blood. Red blood cells only have a life span of 35 days as of the blood donation date. If overdue the blood cannot be used for transfusion. Fulfillment of the availability of blood is a very important thing. On one hand, too much blood stock results in significant losses, such as expiration. On the other hand, too low blood stock makes the people’s blood needs unfulfilled. Therefore, this paper is an effort to estimate the blood supply at Indonesian Red Cross Bojonegoro by using the Modified Kalman Filter method. The Modified Kalman Filter is a comparison of two Kalman Filter development methods, those are Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF). The simulation results showed that the EKF method was accurate than the FKF method, with an error of 3 % generated by the EKF and that of 9% by the FKF.