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Abstract
Red chili occupies a strategic position in the Indonesian economic structure because its use applies to almost all Indonesian dishes. Therefore, controlling the price of red chili is a
necessity to maintain national economic stability. The purpose of this research is to forecast a red chili weekly price using ARIMA and SSA based on the weekly data of chili prices from January 2016 - December 2019 sourced from Statistics Indonseia (BPS) Branch Office of Bengkulu Province. The data have been analyzed using software R. Based on MAPE, ARIMA (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.
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References
- Box, G.E.P., and Jenkins, G.M., Time Series Analysis: Forecasting and Control, Third Edition, New Jersey, Prentice Hall, 1994.
- Cryer, J.D., and Chan, K., Time Series Analysis with application in R, USA, Springer, 2008.
- Golyandina, N., Korobeynikov, A., and Zhigljavsky, A., Singular Spectrum Analysis With R, United Kingdom, Springer, 2018
- Hassani, H., and Mahmoudvand, R., Singular Spectrum Analysis Using R, Palgrave Macmillan, 2018
References
Box, G.E.P., and Jenkins, G.M., Time Series Analysis: Forecasting and Control, Third Edition, New Jersey, Prentice Hall, 1994.
Cryer, J.D., and Chan, K., Time Series Analysis with application in R, USA, Springer, 2008.
Golyandina, N., Korobeynikov, A., and Zhigljavsky, A., Singular Spectrum Analysis With R, United Kingdom, Springer, 2018
Hassani, H., and Mahmoudvand, R., Singular Spectrum Analysis Using R, Palgrave Macmillan, 2018