A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan

Over the past few decades, the idea of food security has gradually expanded and changed. From primarily concentrated on the availability of food and food production. The ability of the globe to produce and distribute rice is crucial to ensuring the food security of more than half of the world's...

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Main Author:	Aznan, Muhammad Ilmanuddin
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Partial differential equations (first order)
Online Access:	https://ir.uitm.edu.my/id/eprint/97155/1/97155.pdf
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id	my-uitm-ir.97155
record_format	uketd_dc
spelling	my-uitm-ir.971552024-06-24T16:50:20Z A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan 2023 Aznan, Muhammad Ilmanuddin Partial differential equations (first order) Over the past few decades, the idea of food security has gradually expanded and changed. From primarily concentrated on the availability of food and food production. The ability of the globe to produce and distribute rice is crucial to ensuring the food security of more than half of the world's population. However, because of COVID-19 pandemic, the world food crisis is becoming worse, highlighting the situation of 113 million people who are desperately in need of food. While in Malaysia, the heat of rice demand has been increased by year. This research had been inspired from previous study in helping to find the most accurate mathematical modelling to predict the number for rice production. This research will be focusing on finding the best method between Least Square method and Runge-Kutta-Fehlberg method by comparing the mean percentage absolute error for both methods. Based on the result of findings, the best method to predict rice yield production is Runge-Kutta-Fehlberg for 10 years approximation. 2023 Thesis https://ir.uitm.edu.my/id/eprint/97155/ https://ir.uitm.edu.my/id/eprint/97155/1/97155.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Embong, Muhammad Fauzi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Embong, Muhammad Fauzi
topic	Partial differential equations (first order)
spellingShingle	Partial differential equations (first order) Aznan, Muhammad Ilmanuddin A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
description	Over the past few decades, the idea of food security has gradually expanded and changed. From primarily concentrated on the availability of food and food production. The ability of the globe to produce and distribute rice is crucial to ensuring the food security of more than half of the world's population. However, because of COVID-19 pandemic, the world food crisis is becoming worse, highlighting the situation of 113 million people who are desperately in need of food. While in Malaysia, the heat of rice demand has been increased by year. This research had been inspired from previous study in helping to find the most accurate mathematical modelling to predict the number for rice production. This research will be focusing on finding the best method between Least Square method and Runge-Kutta-Fehlberg method by comparing the mean percentage absolute error for both methods. Based on the result of findings, the best method to predict rice yield production is Runge-Kutta-Fehlberg for 10 years approximation.
format	Thesis
qualification_level	Bachelor degree
author	Aznan, Muhammad Ilmanuddin
author_facet	Aznan, Muhammad Ilmanuddin
author_sort	Aznan, Muhammad Ilmanuddin
title	A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
title_short	A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
title_full	A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
title_fullStr	A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
title_full_unstemmed	A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan
title_sort	comparison between least square method and runge-kutta-fehlberg in predicting the rice production in malaysia / muhammad ilmanuddin aznan
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/97155/1/97155.pdf
_version_	1804890015523667968

A comparison between Least Square method and Runge-Kutta-Fehlberg in predicting the rice production in Malaysia / Muhammad Ilmanuddin Aznan

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