ESTIMASI PERSEDIAN STOK BERAS PADA PERUM BULOG PUSAT MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
AGUSTINA, MIA
Haris, Abdul
Kuswardani, Dwina
Haris, Abdul
Kuswardani, Dwina
Subject
Teknik Informatika
Datestamp
2022-09-22 07:54:54
Abstract :
BULOG is a foodstuff in Indonesia that regulates commerce in rice. The preparation of rice stocks managed by Perum BULOG Center intended to anticipate the uncertainty of demand, price stability, as well as to keep the possibility of a failed harvest in the region to the region rice supplier Indonesia. In this case the BULOG Center still uses one method to do forecasting and face obstacles while taking keutusan because of the lack of a comparison method. Therefore, the comparison method is needed to estimsi the inventory stock rice, Single Exponential Smoothing forecasting method that uses historical data and perform permulusan (smoothing) to predict future supply will come. In this study, using the Mean Absolute Deviation (MAD) and Mean Absolute Error (MAPE) Precentage for the smallest error rate count of alpa that later will be used for the prediction. Single Exponential Smoothing method is applied into the application in order to facilitate in the calculation of estimation. Application used as a tool for showing the results of the estimation.
BULOG is a foodstuff in Indonesia that regulates commerce in rice. The preparation of rice stocks managed by Perum BULOG Center intended to anticipate the uncertainty of demand, price stability, as well as to keep the possibility of a failed harvest in the region to the region rice supplier Indonesia. In this case the BULOG Center still uses one method to do forecasting and face obstacles while taking keutusan because of the lack of a comparison method. Therefore, the comparison method is needed to estimsi the inventory stock rice, Single Exponential Smoothing forecasting method that uses historical data and perform permulusan (smoothing) to predict future supply will come. In this study, using the Mean Absolute Deviation (MAD) and Mean Absolute Error (MAPE) Precentage for the smallest error rate count of alpa that later will be used for the prediction. Single Exponential Smoothing method is applied into the application in order to facilitate in the calculation of estimation. Application used as a tool for showing the results of the estimation.
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