TY  - MANSCPT
AU  - Aishah Umairah Binti Zuridi,		,		 						 	,	,
TI  - Bayesian decision making of palm oil biomass for power generation productivity and sustainability in Malaysia: environmental factor 
SN  - THE0010899 (Local)
PY  - 2025///
CY  - Kuantan, Pahang
PB  - UMPSA
KW  - Faculty of Chemical and Process Engineering Technology
KW  - Dissertations
KW  - Universities and colleges
KW  - Theses
N1  - Faculty of Chemical and Process Engineering Technology; Final Year Report (Bachelor of Technology Mechanical Engineering (Petroleum)  with Hons ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025; Include bibliographical reference
N2  - This research investigates the potential of palm oil biomass for sustainable power generation in Malaysia by developing a Bayesian decision-making framework. Recognizing the significant environmental challenges associated with biomass energy production, this study aims to provide a more robust and data-driven approach to decision-making. Traditional methods, such as FMEA, MCDA and CBA, have limitations in effectively dealing with the uncertainties and complex interdependencies inherent in environmental assessment. By leveraging the strength of Bayesian Networks, this research seeks to develop a framework that can integrate environmental factors, such as greenhouse gas (GHG) emissions, soil conditions and waste management considerations. This approach is in line with Malaysia's sustainability goals, contributing to a cleaner energy future and addressing the urgent need for sustainable waste management in the palm oil industry. The research explores the potential of palm oil biomass, including waste products such as Empty Fruit Bunches (EFB), as a renewable energy source while recognizing critical environmental factors such as GHG emissions, waste management, and land degradation. Furthermore, the research investigates the practical application of Bayesian Networks (BN) in specific contexts, such as evaluating productivity and sustainability for the environment in biomass power plants. By analyzing causal relationships between various factors, such as GHG emissions, waste management and soil conditions, BN can provide valuable insights to optimize productivity and sustainability. This research aims to provide a valuable tool for decision makers in the palm oil industry, enabling them to make more informed choices that balance environmental sustainability with economic viability and contribute to a more sustainable and resilient energy future for Malaysia
UR  - https://umpir.ump.edu.my/id/eprint/47874
ER  -