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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
Differential equations. Runge-Kutta formulas
Analytical methods used in the solution of physical problems
Instruments and machines
Electronic Computers. Computer Science
Algorithms
Online Access:https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf
https://ir.uitm.edu.my/id/eprint/77716/
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record_format eprints
spelling my.uitm.ir.777162023-05-22T04:51:25Z https://ir.uitm.edu.my/id/eprint/77716/ Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf Estimation of unemployement in Malaysia using fourth-order taylor’s series method and fourthorder runge kutta method / Nur Batrisyia Suhaimi. (2021) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu. <http://terminalib.uitm.edu.my/77716.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic 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
spellingShingle 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
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
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
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/77716/1/77716.pdf
https://ir.uitm.edu.my/id/eprint/77716/
_version_ 1768011665477992448
score 13.211869

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