Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali

Many countries are experiencing out of ordinary rapid demographic change. It is important to know the human population in future. There exist many models for describing growth rates of populations over time. This project will aim to find the most suitable model between exponential growth model and l...

Full description

Saved in:
Bibliographic Details
Main Authors: Muda, Hazura Akmal, Sugiono, Hernidayati, Ali, Julaikha Liyana
Format: Student Project
Language:English
Published: 2016
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/110505/1/110505.pdf
https://ir.uitm.edu.my/id/eprint/110505/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.110505
record_format eprints
spelling my.uitm.ir.1105052025-02-25T08:40:52Z https://ir.uitm.edu.my/id/eprint/110505/ Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali Muda, Hazura Akmal Sugiono, Hernidayati Ali, Julaikha Liyana Study and teaching Equations Wavelets (Mathematics) Many countries are experiencing out of ordinary rapid demographic change. It is important to know the human population in future. There exist many models for describing growth rates of populations over time. This project will aim to find the most suitable model between exponential growth model and logistic growth model for population growth of Malaysia using data from 1993 to 2015. The exponential growth model predict of growth rate of 0.02719 per annum and also predicted the population to be 46 790 776.21 in 2025. Logistic growth model, which describes the population that increase rapidly until it reaches carrying capacity. We find the carrying capacity by graphical trial and error procedure. Then we predicted the population to be 38 697 302.09 using the same growth rate as exponential model. For future work, logistic growth model can be used to measure human population instead of using exponential model. 2016 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/110505/1/110505.pdf Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali. (2016) [Student Project] <http://terminalib.uitm.edu.my/110505.pdf> (Unpublished)
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 Study and teaching
Equations
Wavelets (Mathematics)
spellingShingle Study and teaching
Equations
Wavelets (Mathematics)
Muda, Hazura Akmal
Sugiono, Hernidayati
Ali, Julaikha Liyana
Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
description Many countries are experiencing out of ordinary rapid demographic change. It is important to know the human population in future. There exist many models for describing growth rates of populations over time. This project will aim to find the most suitable model between exponential growth model and logistic growth model for population growth of Malaysia using data from 1993 to 2015. The exponential growth model predict of growth rate of 0.02719 per annum and also predicted the population to be 46 790 776.21 in 2025. Logistic growth model, which describes the population that increase rapidly until it reaches carrying capacity. We find the carrying capacity by graphical trial and error procedure. Then we predicted the population to be 38 697 302.09 using the same growth rate as exponential model. For future work, logistic growth model can be used to measure human population instead of using exponential model.
format Student Project
author Muda, Hazura Akmal
Sugiono, Hernidayati
Ali, Julaikha Liyana
author_facet Muda, Hazura Akmal
Sugiono, Hernidayati
Ali, Julaikha Liyana
author_sort Muda, Hazura Akmal
title Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
title_short Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
title_full Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
title_fullStr Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
title_full_unstemmed Technical report: the comparison between exponential growth and logistic growth model for Malaysia’s population / Hazura Akmal Muda, Hernidayati Sugiono and Julaikha Liyana Ali
title_sort technical report: the comparison between exponential growth and logistic growth model for malaysia’s population / hazura akmal muda, hernidayati sugiono and julaikha liyana ali
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/110505/1/110505.pdf
https://ir.uitm.edu.my/id/eprint/110505/
_version_ 1825165196349407232
score 13.239859