Comparison of forecasting methods for selling concentrate feeds in dairy farmers cooperative North Bandung.

The purpose of this research is to compare forecasting methods to find out the best forecasting method in predicting the sales value of Concentrated Feed based on the error smallest. The method used is the method of Moving Average, Single Exponential Smoothing and Trend linear. Based on the selection of the Mean Absolute Percentage Error or can be abbreviated as MAPE, the Moving Average uses a three period and five period. In the Moving Average with a three-period moving average, the MAPE value is 2.34%, and in the Moving Average with a five-period moving average, the MAPE value is 2.36%. Then the Exponential smoothing used values, α 0.5 and 0.9. In the Exponential smoothing with used values, α=0.5 the MAPE value is 2.07%, and in the Exponential smoothing with used values, α=0.9, the MAPE value is 2.26%. In the linear trend method, the MAPE value is 1.75%. After comparing the five forecasting methods used, the linear trend method was chosen due to its lower error rate compared to both the Moving Average method and Single Exponential Smoothing. [ABSTRACT FROM AUTHOR]