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Aris Purwanto
Institut Teknologi dan Bisnis Asia Malang
Computer Science & IT

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Sistem Peramalan Produksi Jagung Provinsi Jawa Barat Menggunakan Metode Double Exponential Smoothing Aris Purwanto; Siti Nurul Afiyah
Jurnal Ilmiah Teknologi Informasi Asia Vol 14 No 2 (2020): Volume 14 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v14i2.462

Abstract

Corn (Zea mays) is one of the most important food-producing plants in the world, including in Indonesia specifically in the province of West Java. Corn plants can be made as raw materials for various pharmaceutical, cosmetic and chemical industrial products. Corn production in West Java Province during 1993-2015 changed the data trend. To find out the amount of corn production for the following year forecasting is needed, one of the methods that can be used to predict the case of data trend patterns using the double exponential refinement method. In this method we will make decisions according to the MAPE won that was obtained. In this study, MAPE was obtained at 9.38%, which means that the accuracy rate was 90.62% at alpha 0.4 with forecasting of corn production in West Java Province for the following year at 1049839.84 ft.
Co-Authors Siti Nurul Afiyah