Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi

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...

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Main Authors:	Zakaria, Zaidatul Hafizah, Mohd Suhaimi, Aisyatul Husna
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Differential equations Runge-Kutta formulas Finite element method
Online Access:	https://ir.uitm.edu.my/id/eprint/40083/1/40083.pdf
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id	my-uitm-ir.40083
record_format	uketd_dc
spelling	my-uitm-ir.400832021-01-04T09:42:31Z Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi 2019-07 Zakaria, Zaidatul Hafizah Mohd Suhaimi, Aisyatul Husna Differential equations. Runge-Kutta formulas Difference equations. Functional equations. Delay differential equations. Integral equations Finite element method 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. 2019-07 Thesis https://ir.uitm.edu.my/id/eprint/40083/ https://ir.uitm.edu.my/id/eprint/40083/1/40083.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Mohd Yusof, Zanariah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Yusof, Zanariah
topic	Differential equations Runge-Kutta formulas Differential equations Runge-Kutta formulas Finite element method
spellingShingle	Differential equations Runge-Kutta formulas Differential equations Runge-Kutta formulas Finite element method Zakaria, Zaidatul Hafizah Mohd Suhaimi, Aisyatul Husna Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
description	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.
format	Thesis
qualification_level	Bachelor degree
author	Zakaria, Zaidatul Hafizah Mohd Suhaimi, Aisyatul Husna
author_facet	Zakaria, Zaidatul Hafizah Mohd Suhaimi, Aisyatul Husna
author_sort	Zakaria, Zaidatul Hafizah
title	Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
title_short	Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
title_full	Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
title_fullStr	Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
title_full_unstemmed	Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi
title_sort	corn production using runge-kutta and least square method / zaidatul hafizah zakaria and aisyatul husna mohd suhaimi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/40083/1/40083.pdf
_version_	1783734561104986112

Corn production using Runge-Kutta and Least Square method / Zaidatul Hafizah Zakaria and Aisyatul Husna Mohd Suhaimi

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