Forecasting carbon absorption of oil palm plantation in Malaysia / Muhammad Affifuddin Azmi, Mohamad Fariz Syazwan Jailani and Mohammad Fikri Fadzil

Azmi, Muhammad Affifuddin and Jailani, Mohamad Fariz Syazwan and Fadzil, Mohammad Fikri (2019) Forecasting carbon absorption of oil palm plantation in Malaysia / Muhammad Affifuddin Azmi, Mohamad Fariz Syazwan Jailani and Mohammad Fikri Fadzil. [Student Project] (Unpublished)

Abstract

The rising volume of carbon dioxide in the atmosphere has become a predicament that can affect the system and biodiversity on earth. High concentration of carbon in the atmosphere will cause various problems such as global warming that will not only affect the world's climate change but also will contribute in the increasing sea level. Conversion of natural lands into oil palm plantation will have a significant effect on the amount of carbon absorbed by the forests from the atmosphere as the natural forest will be destroyed and replaced with oil palms. The aim of this study is to forecast the amount of carbon dioxide absorption of oil palm plantations in Malaysia. To forecast the amount of carbon dioxide absorbed by the oil palm plantations, several forecasting methods will be implemented. These methods are the double exponential smoothing method, adaptive response rate exponential smoothing (ARRES) method, Holt's method and the advance Box-Jenkins method. The data of carbon absorbed by oil palm plantation used for the analysis are from 1974 until 2017. The forecast values for the amount of carbon dioxide absorbed by oil palm plantations are generated for the next IO years which are from 2018 to 2027. Then, the results produced by the methods used for forecasting in this study are compared to determine the best models based on the value of error measures. The value of error measures that are used for the comparison purpose are including the Mean Square Error (MSE), Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE).

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Azmi, Muhammad Affifuddin
UNSPECIFIED
Jailani, Mohamad Fariz Syazwan
UNSPECIFIED
Fadzil, Mohammad Fikri
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Nasir, Noryanti
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Statistics
Keywords: Forecasting, carbon absorption, oil palm plantation, Malaysia
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/50265
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