Abstract
The monthly production of the corn in Malaysia within a year is inconsistent. The Agriculture Industry including the farmers are facing problem to estimate the production of corn. This will affect to the Industry and farmers especially to their income, food supply for Food Industry and also satisfy or reach the demand. Malaysia nowadays needs to import the corn from other country. The cost is higher than Malaysia producing own corn. Therefore, a solution is needed to overcome this problem. If the industry is able to increase the production, then it will help the farmer to increase their monthly income. Moreover, it will help to improve country’s finance. The Objective of this research is to predict the next production of corn using the Runge-Kutta method and Least Square Method. In order to gain the accuracy of the purposed method, result from the actual production is compared to the numerical solution. Therefore, researcher can choose the most appropriate method to predict corn production for the next upcoming years. The best method to predict the corn production is using Runge-Kutta Method.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Zakaria, Zaidatul Hafizah 2016289462 Mohd Suhaimi, Aisyatul Husna 2016299282 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohd Yusof, Zanariah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Analysis > Differential equations. Runge-Kutta formulas Q Science > QA Mathematics > Analysis > Difference equations. Functional equations. Delay differential equations. Integral equations Q Science > QC Physics > Mathematical physics > Finite element method |
Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computational Mathematics |
Keywords: | Agriculture Industry ; Runge-Kutta Method ; Food Industry ; Least Square Method |
Date: | July 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/40083 |
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