Abstract
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.
Highlights
IntroductionBlood Transfusion Unit is one of the most important parts of the Indonesian Red Cross organization
Blood Transfusion Unit is one of the most important parts of the Indonesian Red Cross organization.This unit functions to receive blood donors, store blood, and distribute it to those in need of it
[8] and AUV [9,10], widely applied to determine the trajectory for the vehicle to follow. Those cases all utilized an estimation algorithm, and in this study the methods used in estimating blood supply in hospital blood bank were Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF), serving as a chart for the hospital to take into consideration in the blood supply and demand management
Summary
Blood Transfusion Unit is one of the most important parts of the Indonesian Red Cross organization. Beside those in the health sector, applied estimation algorithms, including the application of estimation methods in the economic field, namely to estimate the stock [5] and smartphone price in market [6], and that in the technical field, to estimate steam drum water height [7], as well as those utilized to estimate the missile position [8] and AUV [9,10], widely applied to determine the trajectory for the vehicle to follow Those cases all utilized an estimation algorithm, and in this study the methods used in estimating blood supply in hospital blood bank were Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF), serving as a chart for the hospital to take into consideration in the blood supply and demand management
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