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All Journal Proceeding of the International Conference on Family Business and Entrepreneurship (ICFBF)
Juliano Victor Christian Medellu
President University
Economics, Econometrics & Finance

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Tea production forecasting in Indonesia’s large plantation by using ARIMA models Juliano Victor Christian Medellu; Edwin Setiawan Nugraha
Proceeding of the International Conference on Family Business and Entrepreneurship 2022: Proceeding of 6th International Conference on Family Business and Entrepreneurship
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.955 KB) | DOI: 10.33021/icfbe.v3i1.3750

Abstract

Indonesia is known for its outstanding agricultural sector and natural wealth. Tea is one of the plantation sectors that are mostly consumed all over the world and has been one of Indonesia’s mainstay commodities that has already been listed as one of the 10 export commodities with a big amount of production. Tea production data have a fluctuating pattern and characteristic. Therefore, it is really important to know the projection of tea production for planning and management purposes. The ARIMA (Autoregressive Integrated Moving Average) model is one of the methods that can be used to predict future productions. The ARIMA (4,1,0) is found to be the most suitable model to be used with a MAPE of 29.9%. The forecasting process shows the production will have an uptrend pattern for ten months from March 2018. The Tea production forecast data will be useful for future planning and production control.
Co-Authors Edwin Setiawan Nugraha