Abstract
As a developing country, the growth in per capita of Malaysia brings higher demand of rice, which is the main food in the country. The objective of this study is to observe the production pattern of rice at the chosen rice mill, which is BERNAS Pasir Puteh, Kelantan. Then, through the graph plotted by using cubic B-spline and discrete least square method, the production of the rice will be estimated and interpolated. By using data from the rice mill, both methods are applied to analyse them. This study obtains that both cubic B-spline and discrete least square methods can show the production patterns successfully and there is continuous supply of rice in Malaysia. However, by using Mean Square Error(MSE) and Root Mean Square Error(RMSE), it is concluded that B-spline method is more efficient than discrete least square method since it has the lower total RMSE.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Che Pa, Siti Noorkhaliesa UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohamad Sukri, Nursyazni UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Database management |
Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computational Mathematics |
Keywords: | BERNAS ; B-spline ; Discrete Least Square Method |
Date: | July 2017 |
URI: | https://ir.uitm.edu.my/id/eprint/39575 |
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