Comparison between nonlinear growth models on population of chili pepper in Malaysia / Muhammad Syazwan Aiman Mohamad Sayudi

Mohamad Sayudi, Muhammad Syazwan Aiman (2023) Comparison between nonlinear growth models on population of chili pepper in Malaysia / Muhammad Syazwan Aiman Mohamad Sayudi. Degree thesis, Universiti Teknologi MARA, Terengganu.

Abstract

Chili peppers are characterized by their hot, pungent flavour, which is caused by the presence of capsaicin, a chemical compound that binds to pain receptors in the mouth. Chili peppers are used in a variety of cuisines around the world, and they are also used in traditional medicine. The purpose of this project is to determine the population growth of chili pepper using three models. The data about chili peppers are collected from secondary data on the website by years. 2009 until 2019 is the year that had been chosen to help this research. The data was collected in metric tons and will be used to determine the growth rate and population growth of chili pepper using four nonlinear models which is Exponential model, Logistic growth model, Gompertz growth model and Von Bertalanffy growth model. The results from the research shown that Exponential model, Logistic growth model, Gompertz growth model and Von Bertalanffy growth model are suitable to use to determine the population of chili pepper in the next years. Logistic Growth Model is the best growth model to used compare to the other four models and had been proved by comparison average of relative error with four models.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohamad Sayudi, Muhammad Syazwan Aiman
2021172659
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ramli, Roslina
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus
Programme: Bachelor of Science (Hons.) Mathematical Modelling and Analytics
Keywords: Exponential Model, Logistic Growth Model, Gompertz Growth Model, Von Bertalanffy Growth Model
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/97160
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