Computational Bibliometric Analysis of Artificial Intelligence in the Construction Industry Research

Authors

  • Sri Rahayu Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia
  • Danny Meirawan Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia
  • Zahra Ghinaya Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia
  • Zenita Sabitri Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia
  • Jasmine Al Dhahrani Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia
  • Affero Ismail Faculty of Educational Studies, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, 86400 Batu Pahat, Johor, Malaysia

DOI:

https://doi.org/10.37934/araset.57.1.6372

Keywords:

Bibliometric analysis, Artificial intelligence, Construction industry

Abstract

The objective of this study is to employ bibliometric analysis to investigate the utilization of artificial intelligence in the construction sector. AI is not merely a novel technology governed by specific regulations, but rather a force that is integrated into everyday life. In this industry, artificial intelligence (AI) is a form of technology developed to see the development of construction projects carried out effectively, efficiently, and safely. The VOSViewer mapping is used to analyse bibliometric data on artificial intelligence in the construction industry. The reference manager application is used to obtain research data. We use the words "artificial intelligence" and "construction industry" as data search keywords for this research. We search for data from 2013 through 2023. The results show that the study on artificial intelligence in the construction industry obtained 997 relevant articles published between 2013 and 2023. In addition, the results of research on artificial intelligence in the construction industry have seen a drastic drop from 2021 to 2023. Artificial intelligence in the construction industry was the most published in 2020, with 227 articles published. This research shows how important bibliometric analysis is to obtaining information about this phenomenon. The study is prospectively intended to help and be a reference for scientists and researchers in conducting and defining research topics, especially those related to artificial intelligence and the construction industry.

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Author Biographies

Sri Rahayu, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia

srirahayu@upi.edu

Danny Meirawan, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia

dannymeirawan@upi.edu

Zahra Ghinaya, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia

zahraghina@upi.edu

Zenita Sabitri, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia

zenitasa@upi.edu

Jasmine Al Dhahrani, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat 40154, Indonesia

jasminealdhahrani@upi.edu

Affero Ismail, Faculty of Educational Studies, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, 86400 Batu Pahat, Johor, Malaysia

affero@uthm.edu.my

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Published

2024-10-04

How to Cite

Sri Rahayu, Meirawan, D., Ghinaya, Z., Sabitri, Z., Al Dhahrani, J., & Ismail, A. (2024). Computational Bibliometric Analysis of Artificial Intelligence in the Construction Industry Research. Journal of Advanced Research in Applied Sciences and Engineering Technology, 63–72. https://doi.org/10.37934/araset.57.1.6372

Issue

Section

Articles