• Zilrahmi Zilrahmi Department of Statistics, Universitas Negeri Padang (UNP), Indonesia
  • Hari Wijayanto Department of Statistics, IPB University, Indonesia
  • Farit M Afendi Department of Statistics, IPB University, Indonesia
  • Rizal Bakri Department of Accounting, STIEM Bongaya, Indonesia



ARIMA, EEMD, modified EEMD, Trend Polinomial


The fluctuations of curly red chili price affect the inflation rate in Indonesia. So that, the basic characteristics of price movement and correctly prediction for curly red chili price become concern in various studies. Empirical Mode Decomposition (EMD) method helps to examine behavioral characteristics of curly red chili prices in Indonesia easily. Ensemble EMD (EEMD) and modified EEMD are the decomposition method of time series which is development of EMD method. The decomposed data with EMD methods can also used for price forecast. The forecasting with ARIMA and trend polynomial performed to assess the effect of decomposition with EMD methods for forecast stability of curly red chili price in Indonesia under various conditions. The results show the most influence factor for price fluctuation of curly red chili in Indonesia is season and growing season. In this case, the ability of a decomposition method to produce the actual components that describe the pattern of data signals affect the accuracy of the predicted value obtained using the model. The predicted value using the decomposed data by modified EEMD always better than EEMD on the overall condition.


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How to Cite

Zilrahmi, Z., Wijayanto, H., Afendi, F. M., & Bakri, R. (2020). STUDY ON EMD METHOD FOR PREDICTING THE PRICE OF CURLY RED CHILI IN INDONESIA. Indonesian Journal of Statistics and Its Applications, 4(2), 374–381.