Decision support for predicting revenue target determination with comparison of double moving average and double exponential smoothing
نویسندگان
چکیده
The success of the company requires careful planning. Perusahaan Daerah Air Minum (PDAM) is a drinking water facility management that plays an important role in supporting smooth development region with influence revenue targets. Prediction targets deemed necessary for accurate and effective decision making. Predictions are made by comparing double moving average (DMA) exponential smoothing (DES) methods which refer to actual data from previous five (5) years. Measuring forecasting accuracy using mean absolute percentage error (MAPE) assessing analysis results tracking signal. test uses order values on DMA alpha DES. Based test, it shows has advantage smaller MAPE value <10 very good criteria pattern graph signal do not exceed upper control limit (UCL) lower (LCL). It concluded method more recommended as reference approach support decisions determine PDAM basis planning policy making predict future
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2022
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v11.i2.pp440-447