PREDICTION OF BLOOD BAG DEMAND BASED ON BLOOD GROUP USING SINGLE MOVING AVERAGE METHOD

Abstract

Blood donation is blood taking process from any volunteer to store in a blood
bank for blood transfusion purposes. Blood donation is usually conducted
routinely at the Blood Transfusion Unit. The demand for blood is estimated to be
higher due to the rapid development of medical science. The rapid development
of medical science requires a lot of blood needs, one of which is in organ
transplant procedures. The prediction system for blood bag demand can be
developed using the Single Moving Average method. The Moving Average
method is suitable for long-term data. A single moving average is a forecast for a
future period that requires historical data over a certain period. The level of
accuracy in predicting blood demand is categorized as quite Good, with an
accuracy rate of 75% with MAPE testing of 25%. The accuracy results show that
the application designed is feasible to predict the demand for blood bags by
adding the amount of data that can optimize the Single Moving Average method
to produce more precise and accurate predictions.
Keywords: Single Moving Average (SMA), blood demand prediction, MAPE