Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi

The number of unemployment increase and decrease in every month but the number always remains high. The data for unemployment in Malaysia can be search at Department of Statistic Malaysia (DOSM) online portal. For this research, mathematical modelling method are used to estimate the data collected f...

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Main Author:	Suhaimi, Nur Batrisyia
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Mathematical statistics Probabilities Analysis Analytical methods used in the solution of physical problems Instruments and machines Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf
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id	my-uitm-ir.77716
record_format	uketd_dc
spelling	my-uitm-ir.777162023-05-22T04:51:25Z Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi 2021-07 Suhaimi, Nur Batrisyia Mathematical statistics. Probabilities Analysis Differential equations. Runge-Kutta formulas Analytical methods used in the solution of physical problems Instruments and machines Electronic Computers. Computer Science Algorithms The number of unemployment increase and decrease in every month but the number always remains high. The data for unemployment in Malaysia can be search at Department of Statistic Malaysia (DOSM) online portal. For this research, mathematical modelling method are used to estimate the data collected from DOSM online portal which is the data of unemployed number in Malaysia. Data collected are from 2015 to 2020 by month. Mathematical modelling method that are used in this research to estimate the number of unemployment are Taylor’s series method and Runge-Kutta method where the degree order for both methods are fourth-order. The estimation value of fourth-order Taylor’s series method and fourth-order Runge-Kutta method are compared and analysed by using the error analysis. Comparison of error of both methods is to determine which method is more accurate, so that the method will be concluded as the best method for this research. Based on this study, fourth-order Runge-Kutta method is the best method as the method has least total value of error and more accurate. Hence, the number of unemployment in Malaysia for year 2021 to 2025 was estimated using fourth-order Runge-Kutta method. 2021-07 Thesis https://ir.uitm.edu.my/id/eprint/77716/ https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Mohamad Sukri, Nursyazni
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamad Sukri, Nursyazni
topic	Mathematical statistics Probabilities Analysis Mathematical statistics Probabilities Analytical methods used in the solution of physical problems Instruments and machines Mathematical statistics Probabilities Algorithms
spellingShingle	Mathematical statistics Probabilities Analysis Mathematical statistics Probabilities Analytical methods used in the solution of physical problems Instruments and machines Mathematical statistics Probabilities Algorithms Suhaimi, Nur Batrisyia Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
description	The number of unemployment increase and decrease in every month but the number always remains high. The data for unemployment in Malaysia can be search at Department of Statistic Malaysia (DOSM) online portal. For this research, mathematical modelling method are used to estimate the data collected from DOSM online portal which is the data of unemployed number in Malaysia. Data collected are from 2015 to 2020 by month. Mathematical modelling method that are used in this research to estimate the number of unemployment are Taylor’s series method and Runge-Kutta method where the degree order for both methods are fourth-order. The estimation value of fourth-order Taylor’s series method and fourth-order Runge-Kutta method are compared and analysed by using the error analysis. Comparison of error of both methods is to determine which method is more accurate, so that the method will be concluded as the best method for this research. Based on this study, fourth-order Runge-Kutta method is the best method as the method has least total value of error and more accurate. Hence, the number of unemployment in Malaysia for year 2021 to 2025 was estimated using fourth-order Runge-Kutta method.
format	Thesis
qualification_level	Bachelor degree
author	Suhaimi, Nur Batrisyia
author_facet	Suhaimi, Nur Batrisyia
author_sort	Suhaimi, Nur Batrisyia
title	Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
title_short	Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
title_full	Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
title_fullStr	Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
title_full_unstemmed	Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi
title_sort	estimation of unemployement in malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / nur batrisyia suhaimi
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf
_version_	1783736161073627136

Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi

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