Author

Resmawan

Subject

- Sains

Abstract

Facing the dry season, it is probable that there is a lack of water or excess distribution at one point during distribution to every house that uses PDAM water every day. This will result in community instability in using water and inaccurate users. Therefore, forecasting the amount of water used in PDAM Kota Gorontalo for the next period. The method used to forecast is the Exponential Moving Average method. The criteria in determining the best method are based on the value of Mean Absolute Deviation and Mean Absolute Percentage Error. After forecasting each smoothing constant is compared, the best model. in predicting the amount of water use in PDAM Kota Gorontalo is an Exponential Moving Average with a smoothing constant of 0.15 because it has the smallest MAD and MAPE values.

Publisher

Jambura Journal of Probability and Statistics, Vol 1 No. 2: 69-77 (2020)

Contributor

Wa Salmi; Ismail Djakaria; Resmawan Resmawan

Publish

2020

Material Type

ARTIKEL

Right

-