Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy

Unemployment rates are critical economic indicators that reflect the health and stability of a nation's labour market. Accurate predictions of future unemployment rates are essential for policymakers, researchers, and businesses to formulate effective strategies and make informed decisions. Thi...

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Main Author:	Mohd Hilmy, Muhammad Syahruddin
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Prediction analysis
Online Access:	https://ir.uitm.edu.my/id/eprint/97157/1/97157.pdf
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id	my-uitm-ir.97157
record_format	uketd_dc
spelling	my-uitm-ir.971572024-06-24T16:50:10Z Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy 2023 Mohd Hilmy, Muhammad Syahruddin Prediction analysis Unemployment rates are critical economic indicators that reflect the health and stability of a nation's labour market. Accurate predictions of future unemployment rates are essential for policymakers, researchers, and businesses to formulate effective strategies and make informed decisions. This project focuses on the application of Lagrange interpolation and the Newton’s Interpolation to predict the rate of Malaysian unemployment in 2023. Additionally, we apply the Newton’s Interpolation to refine the predictions and assess its effectiveness in enhancing the accuracy of the forecasts. The results obtained from both the Lagrange interpolation and Newton’s Interpolation will be compared and evaluated. By examining the performance of these methods, we can gain insights into their applicability and suitability for predicting the rate of Malaysian unemployment in 2023. Overall, this project contributes to the field of numerical analysis by demonstrating the practical application of Lagrange interpolation and the Newton’s Interpolation in forecasting economic indicators. The findings and methodologies presented here can assist policymakers, economists, and researchers in making informed decisions, formulating policies, and designing strategies to address unemployment challenges in Malaysia and potentially in other countries as well. 2023 Thesis https://ir.uitm.edu.my/id/eprint/97157/ https://ir.uitm.edu.my/id/eprint/97157/1/97157.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Mohamed, Zamzulani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamed, Zamzulani
topic	Prediction analysis
spellingShingle	Prediction analysis Mohd Hilmy, Muhammad Syahruddin Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
description	Unemployment rates are critical economic indicators that reflect the health and stability of a nation's labour market. Accurate predictions of future unemployment rates are essential for policymakers, researchers, and businesses to formulate effective strategies and make informed decisions. This project focuses on the application of Lagrange interpolation and the Newton’s Interpolation to predict the rate of Malaysian unemployment in 2023. Additionally, we apply the Newton’s Interpolation to refine the predictions and assess its effectiveness in enhancing the accuracy of the forecasts. The results obtained from both the Lagrange interpolation and Newton’s Interpolation will be compared and evaluated. By examining the performance of these methods, we can gain insights into their applicability and suitability for predicting the rate of Malaysian unemployment in 2023. Overall, this project contributes to the field of numerical analysis by demonstrating the practical application of Lagrange interpolation and the Newton’s Interpolation in forecasting economic indicators. The findings and methodologies presented here can assist policymakers, economists, and researchers in making informed decisions, formulating policies, and designing strategies to address unemployment challenges in Malaysia and potentially in other countries as well.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Hilmy, Muhammad Syahruddin
author_facet	Mohd Hilmy, Muhammad Syahruddin
author_sort	Mohd Hilmy, Muhammad Syahruddin
title	Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
title_short	Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
title_full	Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
title_fullStr	Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
title_full_unstemmed	Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy
title_sort	application of lagrange interpolation and newton’s interpolation to predict the rate of malaysian’s unemployment in 2023 / muhammad syahruddin mohd hilmy
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/97157/1/97157.pdf
_version_	1804890016036421632

Application of Lagrange interpolation and Newton’s interpolation to predict the rate of Malaysian’s unemployment in 2023 / Muhammad Syahruddin Mohd Hilmy

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