CD Skripsi
Analisis Perbandingan Moving Average, Exponential Smoothing, Dan Trend Projection Pada Peramalan Produksi Crude Palm Oil Pt. Ekadura Indonesia
Forecasting is the art and science of predicting future events using data from
the past. This research was conducted at PT. Ekadura Indonesia which aims to find
out how to calculate the correct and effective production forecasting and to find out
the most suitable forecasting method for the production of crude palm oil PT.
Ekadura Indonesia. This research is a quantitative descriptive study, the analysis
used in this study includes the method of moving average, exponential smoothing, and
trend projection by comparing the forecasting error rate measured from the smallest
mean absolute percentage error. The result of this study indicate that of the three
methods used, the projection trend methods have the smallest mean absolute
percentage error, which is 2,1023%.
Keyword : forecasting, moving average, exponential smoothing, trend projection,
and MAPE
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