Forecasting the Number of Blood Demand Using The Support Vector Machine (SVM) Method
Peramalan Jumlah Permintaan Darah Menggunakan Metode Support Vector Machine (SVM)
DOI:
https://doi.org/10.21070/ups.1138Keywords:
forecasting, k-means, kernel, support vector machine, transfusionAbstract
Blood transfusion is a process of sending or transferring blood to another place and the task is delegated to the PMI Blood Donation Unit. However, the supply and demand from health agencies have a significant difference. The difference for each blood group is very large, in group O deficiency by 28%, in group A deficiency by 38%, in group B excess by 28%, and in group AB deficiency by 84%. To overcome this problem, it is necessary to estimate the demand for blood that will occur in the future period. One of the tools is forecasting using the Support Vector Machine (SVM) method. The result of this study obtained good MAPE values, namely in blood group O is 14%, in blood group A is 15%, in blood group B is 13%, and in blood type AB is 24%.
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