MARC details
| 000 -LEADER |
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| fixed length control field |
03287ntm a2200349 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260730112446.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t|||||r|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
260730t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010899 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKKP .A24 2025 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Aishah Umairah Binti Zuridi, , , , |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Bayesian decision making of palm oil biomass for power generation productivity and sustainability in Malaysia : |
| Statement of responsibility, etc. |
Aishah Umairah Binti Zuridi |
| Remainder of title |
environmental factor / |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xi, 59 pages : |
| Other physical details |
illustrations ; |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Chemical and Process Engineering Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Final Year Report (Bachelor of Technology Mechanical Engineering (Petroleum) with Hons ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Include bibliographical reference |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
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. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Chemical and Process Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://umpir.ump.edu.my/id/eprint/47874 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |