PERBANDINGAN METODE EKSPONENSIAL GANDA DARI BROWN DAN METODE EKSPONENSIAL GANDA DARI HOLT
Daftar Isi:
- Brown exponential smoothing method and holt exponential smoothing method is used for data figured trend. The more smaller a value MAD (Mean Absolute Deviation) and MAPE (Mean Absolute Percentage Error) forecasting result will be getting better on conditions systematic error does not occur by using tracking signal. Data production oil palm time series exhibitng exponential, brown method and holt method there is systematic error. In production lateks and the number of poor time series exhibitng trend linier, there are not systematic error. It shows brown method and holt method less precise time series exhibitng exponential and be right for poor time series exhibitng trend linier. While production oil palm forecasting result will be getting better on conditions systematic error does not occur by using tracking signal with tracking signal. Holt method the better forecasting because MAPE dan MAD value is smaller than brown method.