Foresight study on artificial intelligence in smart dustbin.

As a developing country, Malaysia is still struggling with the waste management. It is impossible to maintain the same amount of waste that need to be disposed every day. Thus, smart dustbin with Artificial Intelligence (AI) is one of the solutions to ensure waste management able to be disposed effe...

Full description

Saved in:
Bibliographic Details
Main Authors: Rodzalan, Shazaitul Azreen, Mohd. Jasni, Nur Sabrina Nadia, Mohd. Noor, Noor Nazihah, Mohamed Saat, Maisarah, Hasan, Mohd
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2023
Subjects:
Online Access:http://eprints.utm.my/106045/1/MaisarahMohamedSaat2023_ForesightStudyonArtificialIntelligenceinSmartDustbin.pdf
http://eprints.utm.my/106045/
http://dx.doi.org/10.37934/aram.109.1.1734
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.106045
record_format eprints
spelling my.utm.1060452024-05-29T06:49:44Z http://eprints.utm.my/106045/ Foresight study on artificial intelligence in smart dustbin. Rodzalan, Shazaitul Azreen Mohd. Jasni, Nur Sabrina Nadia Mohd. Noor, Noor Nazihah Mohamed Saat, Maisarah Hasan, Mohd T Technology (General) T58.6-58.62 Management information systems As a developing country, Malaysia is still struggling with the waste management. It is impossible to maintain the same amount of waste that need to be disposed every day. Thus, smart dustbin with Artificial Intelligence (AI) is one of the solutions to ensure waste management able to be disposed effectively. By considering the importance of waste management, this study aims to identify issues and drivers related to AI in smart dustbin among service providers in Malaysia and examine future trends of AI in smart dustbin among service providers in Malaysia. Respondents are among top management of waste management company in Selangor. Qualitative and quantitative method were used by analysing data using descriptive analysis, scenario building and impact-uncertainty. Two drivers selected from impact-uncertainty analysis are outstanding performance of AI and problems on managing waste. In examining future trends, there are four scenarios were projected, which are expertise on AI application, prioritize current waste management practices, effective use of smart dustbin, and Research and Development financial constraint. The findings of this study benefits to the stakeholders as they able to plan and prepare with effective planning in managing the waste in future. Semarak Ilmu Publishing 2023-09 Article PeerReviewed application/pdf en http://eprints.utm.my/106045/1/MaisarahMohamedSaat2023_ForesightStudyonArtificialIntelligenceinSmartDustbin.pdf Rodzalan, Shazaitul Azreen and Mohd. Jasni, Nur Sabrina Nadia and Mohd. Noor, Noor Nazihah and Mohamed Saat, Maisarah and Hasan, Mohd (2023) Foresight study on artificial intelligence in smart dustbin. Journal of Advanced Research in Applied Mechanics, 109 (1). pp. 17-34. ISSN 2289-7895 http://dx.doi.org/10.37934/aram.109.1.1734 DOI: 10.37934/aram.109.1.1734
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
T58.6-58.62 Management information systems
spellingShingle T Technology (General)
T58.6-58.62 Management information systems
Rodzalan, Shazaitul Azreen
Mohd. Jasni, Nur Sabrina Nadia
Mohd. Noor, Noor Nazihah
Mohamed Saat, Maisarah
Hasan, Mohd
Foresight study on artificial intelligence in smart dustbin.
description As a developing country, Malaysia is still struggling with the waste management. It is impossible to maintain the same amount of waste that need to be disposed every day. Thus, smart dustbin with Artificial Intelligence (AI) is one of the solutions to ensure waste management able to be disposed effectively. By considering the importance of waste management, this study aims to identify issues and drivers related to AI in smart dustbin among service providers in Malaysia and examine future trends of AI in smart dustbin among service providers in Malaysia. Respondents are among top management of waste management company in Selangor. Qualitative and quantitative method were used by analysing data using descriptive analysis, scenario building and impact-uncertainty. Two drivers selected from impact-uncertainty analysis are outstanding performance of AI and problems on managing waste. In examining future trends, there are four scenarios were projected, which are expertise on AI application, prioritize current waste management practices, effective use of smart dustbin, and Research and Development financial constraint. The findings of this study benefits to the stakeholders as they able to plan and prepare with effective planning in managing the waste in future.
format Article
author Rodzalan, Shazaitul Azreen
Mohd. Jasni, Nur Sabrina Nadia
Mohd. Noor, Noor Nazihah
Mohamed Saat, Maisarah
Hasan, Mohd
author_facet Rodzalan, Shazaitul Azreen
Mohd. Jasni, Nur Sabrina Nadia
Mohd. Noor, Noor Nazihah
Mohamed Saat, Maisarah
Hasan, Mohd
author_sort Rodzalan, Shazaitul Azreen
title Foresight study on artificial intelligence in smart dustbin.
title_short Foresight study on artificial intelligence in smart dustbin.
title_full Foresight study on artificial intelligence in smart dustbin.
title_fullStr Foresight study on artificial intelligence in smart dustbin.
title_full_unstemmed Foresight study on artificial intelligence in smart dustbin.
title_sort foresight study on artificial intelligence in smart dustbin.
publisher Semarak Ilmu Publishing
publishDate 2023
url http://eprints.utm.my/106045/1/MaisarahMohamedSaat2023_ForesightStudyonArtificialIntelligenceinSmartDustbin.pdf
http://eprints.utm.my/106045/
http://dx.doi.org/10.37934/aram.109.1.1734
_version_ 1800714791133642752