Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System

Over the past decade, Malaysia has enjoyed tremendous growth in its economy. This has brought about a population growth along with a great influx of foreign workforce to cities. This resulted in an increase in the amount of waste scheduled generated. Furthermore, scheduled waste management has long...

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Main Authors: Kabbashi, Nassereldeen Ahmed, Jami, Mohammed Saedi, Md Azman, Nur Adibah
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/2609/
http://irep.iium.edu.my/2609/
http://irep.iium.edu.my/2609/1/70.pdf
id iium-2609
recordtype eprints
spelling iium-26092011-12-21T01:38:31Z http://irep.iium.edu.my/2609/ Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System Kabbashi, Nassereldeen Ahmed Jami, Mohammed Saedi Md Azman, Nur Adibah TA190 Management of engineering works Over the past decade, Malaysia has enjoyed tremendous growth in its economy. This has brought about a population growth along with a great influx of foreign workforce to cities. This resulted in an increase in the amount of waste scheduled generated. Furthermore, scheduled waste management has long been a problem area for local authorities in Kuala Lumpur. Continued illegal dumping by waste generators is being practiced at large scale due to lack of proper guidance and awareness. This report reviewed and discussed about service provided for scheduled waste management by an authority and international scenario of scheduled waste management. An expert system was developed to integrate scheduled waste management in Kuala Lumpur. The knowledge base was acquired through journals, books, magazines, annual report, and web sites. An object oriented expert system shell, Microsoft Visual Basic 2005 Express Edition was used as the building tools for the prototype development. The overall development of this project has been carried out in several phases which are problem identification, problem statement and literature review, identification of domain experts, prototype development, knowledge acquisition, knowledge representation and prototype development. Scheduled waste expert system is developed based on five types of scheduled waste management which are label requirements, packaging requirements, impact of scheduled wastes, recycling of scheduled wastes, and recommendations. Besides, it contains several sub modules by which the user can obtain a comprehensive background of the domain. The output is to support effective integrated scheduled waste management. 2011-05-17 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/2609/1/70.pdf Kabbashi, Nassereldeen Ahmed and Jami, Mohammed Saedi and Md Azman, Nur Adibah (2011) Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System. In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17-19 May 2011, The Legend Hotel, Kuala Lumpur. http://www.iium.edu.my/icbioe/2011
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TA190 Management of engineering works
spellingShingle TA190 Management of engineering works
Kabbashi, Nassereldeen Ahmed
Jami, Mohammed Saedi
Md Azman, Nur Adibah
Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
description Over the past decade, Malaysia has enjoyed tremendous growth in its economy. This has brought about a population growth along with a great influx of foreign workforce to cities. This resulted in an increase in the amount of waste scheduled generated. Furthermore, scheduled waste management has long been a problem area for local authorities in Kuala Lumpur. Continued illegal dumping by waste generators is being practiced at large scale due to lack of proper guidance and awareness. This report reviewed and discussed about service provided for scheduled waste management by an authority and international scenario of scheduled waste management. An expert system was developed to integrate scheduled waste management in Kuala Lumpur. The knowledge base was acquired through journals, books, magazines, annual report, and web sites. An object oriented expert system shell, Microsoft Visual Basic 2005 Express Edition was used as the building tools for the prototype development. The overall development of this project has been carried out in several phases which are problem identification, problem statement and literature review, identification of domain experts, prototype development, knowledge acquisition, knowledge representation and prototype development. Scheduled waste expert system is developed based on five types of scheduled waste management which are label requirements, packaging requirements, impact of scheduled wastes, recycling of scheduled wastes, and recommendations. Besides, it contains several sub modules by which the user can obtain a comprehensive background of the domain. The output is to support effective integrated scheduled waste management.
format Conference or Workshop Item
author Kabbashi, Nassereldeen Ahmed
Jami, Mohammed Saedi
Md Azman, Nur Adibah
author_facet Kabbashi, Nassereldeen Ahmed
Jami, Mohammed Saedi
Md Azman, Nur Adibah
author_sort Kabbashi, Nassereldeen Ahmed
title Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
title_short Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
title_full Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
title_fullStr Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
title_full_unstemmed Integrated Scheduled Waste Management System in Kuala Lumpur using Expert System
title_sort integrated scheduled waste management system in kuala lumpur using expert system
publishDate 2011
url http://irep.iium.edu.my/2609/
http://irep.iium.edu.my/2609/
http://irep.iium.edu.my/2609/1/70.pdf
first_indexed 2023-09-18T20:10:12Z
last_indexed 2023-09-18T20:10:12Z
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