Hospital logistics procurement planning for consumable materials and tools with the accurate prediction system can support the logistics management to determine safety stock, so that the problem of stock out and overstock can be reduced. This paper aims to compare the quantitative method consisting of Moving Average (MA) method, Back propagation Artificial Neural Network (BP-ANN) method and qualitative methods of hospital management for the usage prediction of ECG Electrodes and Connect a BD. The used data set is divided into training data, test data and validation data. ECG Electrodes prediction results shows RMSE value of Moving Average method, Neural Network and qualitative methods of hospital management are 4.8855, 2.5470 and 29.2718, respectively. Meanwhile, the RMSE value for Connect a BD is 2.5021, 2.4817 and 6.4031. The prediction results show that ANN-BP is better than MA for ECG Electrodes and Connect a BD.
