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...
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2023
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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 |
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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 |
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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. |
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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. |
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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 |
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http://eprints.utm.my/106045/1/MaisarahMohamedSaat2023_ForesightStudyonArtificialIntelligenceinSmartDustbin.pdf http://eprints.utm.my/106045/ http://dx.doi.org/10.37934/aram.109.1.1734 |
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