By Topic

Forecasting on the crude palm oil and kernel palm production: Seasonal ARIMA approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sabri Ahmad ; Department of Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia ; Humaira' Abdul Latif

The purpose of this study is to develop crude palm oil and kernel palm production using SARIMA (Seasonal Autoregressive Integrated Moving Average). The data set used in this study is production of crude palm oil and kernel palm from June 2001 until May 2011. The accuracy of the forecasts was then measured by the MAE (Mean Absolute Error), MAPE (Mean Absolute Percentage Error), RMSE (Root Mean Squared Error) and MSE (Mean Square Error). In conclusion, the model SARIMA(0,1,2)(1,1,3)12 was choose to forecast the crude palm oil production while the model SARIMA(1,1,1)(1,1,0)12 was choose to forecast kernel palm production. The results showed that the production for crude palm oil and kernel palm are increase than the previous year.

Published in:

Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on

Date of Conference:

5-6 Dec. 2011