Nurkahfi, Muhammad Bagus
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Perbandingan Metode Double Exponential Smoothing dan Least Square untuk Sistem Prediksi Hasil Produksi Teh Nurkahfi, Muhammad Bagus; Wahanggara, Victor; Prakoso, Bakhtiyar Hadi
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (975.199 KB) | DOI: 10.37148/bios.v1i2.12


Tea is one of the mainstay commodities of Indonesian plantation. In order to meet market demand, it is necessary to plan the right production needs, so that the amount of production capacity and market demand is balanced. To meet the needs of the right production requires good planning. The way that can be done is by making predictions. In this study, the prediction of tea production was carried out using the Double Exponential Smothing and Least Square methods. From the test results, it was found that the MAPE value of the Double Exponential Smoothing method, the most optimal α value is α 0.1 with a MAPE value of 18.084% and for the Least Square method the MAPE value is 17.008%.