Abstract
The palm oil industry has been an important component of the national economy especially the agriculture sector. The aim of this study is to identify the pattern of import of palm oil products, to model the time series using Box-Jenkins model and to forecast the monthly import of palm oil products. The method approach is included in the statistical test for verifying the equivalence model and statistical measurement of three models, namely Autoregressive (AR) model, Moving Average (MA) model and Autoregressive Moving Average (ARMA) model. The model identification of all product import palm oil is different in which the AR(1) was found to be the best model for product import palm oil while MA(3) was found to be the best model for products import palm kernel oil. For the palm kernel, MA(4) was found to be the best model. The results forecast for the next four months for products import palm oil, palm kernel oil and palm kernel showed the most significant decrease compared to the actual data.
Cite
CITATION STYLE
Ahmad, N. F. Y., Khalid, K., Rusiman, M. S., Kamardan, M. G., Roslan, R., & Che-Him, N. (2018). Analysis Monthly Import of Palm Oil Products Using Box-Jenkins Model. In Journal of Physics: Conference Series (Vol. 995). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/995/1/012012
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