AGRITEPA: Jurnal Ilmu dan Teknologi Pertanian
Vol 7 No 1 (2020)

UPAYA PENINGKATAN PRODUKSI KOPI DENGAN PANEN PETIK MERAH DI KABUPATEN REJANG LEBONG

Afrizon Afrizon (Unknown)
Andi Ishak (Balai Pengkajian Teknologi Pertanian Bengkulu)
Darkam Mussaddad (Balai Pengkajian Teknologi Pertanian Bengkulu)



Article Info

Publish Date
31 May 2020

Abstract

This study aims to examine the best forecasting model for the export price of Indonesian coffee. The data used in this study are monthly data on coffee prices from January 2012 to September 2019. Three price forecasting models used are moving average, single exponential smoothing and trend analysis are applied to determine the best model based on the lowest MAPE, MAD, and MSE values. The results showed the best model for forecasting the export price of coffee is the moving average (MA1) model because it has the smallest MAPE, MAD and MSE values ​​compared to other models. Keywords: Price; Coffee; Forecasting; Export

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Journal Info

Abbrev

agritepa

Publisher

Subject

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Description

Jurnal AGRITEPA scientific periodical publication on Agricultural Food Technology, Agribusiness, Agricultural Socio Economics and Business. Jurnal AGRITEPA is a scientific communication media which is issued by Agribusiness Study Program and Agricultural Food Technology Study Program, Faculty of ...