Browsing by Author "Sirviando, Goval"

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    PREDICTION OF U-DITCH RAW MATERIAL INVENTORIES IN. MULTIGUNA PRECAST MANDIRI USING A WEB-BASED SINGLE EXPONENTIAL SMOOTHING METHOD
    (2020-12) Sirviando, Goval; Risanto, Joko
    PT. Multipurpose Precast Mandiri is a national company where the main activities are service provision, heavy equipment supply, transportation, industry precast, printed concrete, stone crusher. The purpose of this study is to use the method single exponential smoothing to predict the availability of raw materials u-ditch in the coming months / periods at PT. Multipurpose Precast Mandiri, designing and making raw material inventory prediction applications u-ditch web based and measuring the level of accuracy in predicting the availability of raw materials at PT. Multipurpose Precast Mandiri web based. The method single exponential smoothing is a continuous activity to make improvements in forecasting by averaging or smoothing the actual data values obtained from past data by decreasing (exponential) with smoothing intervals between α (0.1 to 0, 9). Based on the research results, it is found that the prediction uses the method obtained are the single exponential smoothing and the accuracy of the results is with the values error MAD, MSE and MAPE, and the results prediction of the smallest sand raw material at alpha 0.9 with an value of error MSE 276.9693789, MAD value 10.93720636 , and MAPE 19.44665318% with good accuracy, the smallest cement raw material is at alpha 0.9 with an value of error MSE 162.0855996, MAD value 8.620003534, MAPE 18.08803119% with good accuracy, and the last is the smallest split stone raw material at alpha 0.9 with value error MSE 264.4211558, MAD value 11.1994199, and MAPE 18.45811636% with good accuracy. A good level of accuracy is the level of accuracy that gets good predictions with value error a small.