Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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Potential Applications of Artificial Intelligence (AI) for Malaysian Construction Industry

Authors
Nur Ainin Sofiya Hilmy1, Eeydzah Aminudin1, *, Rozana Zakaria2, Nurul Noraziemah Mohd Pauzi1, Muhamad Azry Khoiry3, Chai Chang Saar4, Ferry Firmawan5
1School of Civil Engineering, College of Engineering, UniversitiTeknologi MARA, Engineering Complex, Shah Alam, Malaysia
2Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
3Department of Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
4School of Architecture, Building and Design, Taylors University, Malaysia, Subang Jaya
5Department of Civil Engineering, FacultyofEngineering, Universitas Semarang, Semarang, Indonesia
*Corresponding author. Email: eeydzah@uitm.edu.my
Corresponding Author
Eeydzah Aminudin
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_13How to use a DOI?
Keywords
Artificial Intelligence; AI; Construction Management; Construction Industry
Abstract

Artificial intelligence has revolutionized potential benefits in transforming the technology landscape of the Malaysian construction industry. The adoption of AI in the construction industry has been relatively low. Besides, the construction sector is currently dealing with a skilled labour shortage, frequent project delays and cost overruns, all of which are reducing overall efficiency and production. To solve these serious concerns, the use of artificial intelligence (AI) has been recommended as a transformative solution. AI technologies provide novel approaches to improving project management, enhancing safety measures, and streamlining construction operations. In addition, the application of Artificial Intelligence (AI) in construction industry has also gradually increased globally as it promises a lot of advantages. Therefore, this research paper aims to establish the potential application areas of Artificial Intelligence (AI) in Malaysian construction industry. By utilizing a questionnaire, the data was collected from the industry professionals to gain their perceptions for AI adoption. Out of 70 targeted respondents to whom the questionnaire was distributed, only 45 responded. The collected data was then analyzed with Statistical Package for the Social Sciences (SPSS) to identify the barriers and drivers associated with AI implementation. The potential application areas were also established throughout the study. From the research, it can be concluded that risk management with project management has the biggest anticipation for AI application areas in Malaysian construction industry.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_13How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Ainin Sofiya Hilmy
AU  - Eeydzah Aminudin
AU  - Rozana Zakaria
AU  - Nurul Noraziemah Mohd Pauzi
AU  - Muhamad Azry Khoiry
AU  - Chai Chang Saar
AU  - Ferry Firmawan
PY  - 2024
DA  - 2024/12/01
TI  - Potential Applications of Artificial Intelligence (AI) for Malaysian Construction Industry
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 119
EP  - 129
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_13
DO  - 10.2991/978-94-6463-589-8_13
ID  - Hilmy2024
ER  -