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All Journal AGRITROPICA : Journal of Agricultural Sciences
Rahmi Yuristia
University of Bengkulu
Agriculture, Biological Sciences & Forestry

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The Best Forecasting Model For Cassava Price Rahmi Yuristia; Dodi Apriyanto; Ketut Sukiyono
AGRITROPICA : Journal of Agricultural Sciences Vol 2, No 2 (2019)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/j.agritropica.2.2.86-92

Abstract

This study aims to analyze and select the most accurate forecasting for predicting cassava prices in Indonesia. The data used is monthly data during the period of 2009 to 2017. This predicting uses the forecasting model, such as Moving Average, Exponential Smoothing, and Decomposition. Selecting the models found by comparing the smallest values of MAPE, MAD, and MSD. Therefore, it concluded that the Moving Average model is the most appropriate to Forecasting the price of cassava. Keywords : Selection, Forecasting model, cassava, prices
Co-Authors Dodi Apriyanto Ketut Sukiyono