Fairuz Iqbal Maulana, M. Aldiki Febriantono, Miftahul Hamim, Bayu Ramadhani Fajri, Rahman Arifuddin
Big Data and Artificial Intelligence (BDAI) in Industry have grown so prevalent, and the potential they provide is so revolutionary that they are seen as critical for competitive growth. Because the number of organizations BDAI on Industry technology is increasing exponentially, so is the need for BDAI on Industry practitioners. Until we conducted this research, only 1399 academic documents on BDAI in Industry found from 2002 to 2020 were obtained by searching the Scopus database. BDAI in the industrial sector is examined in-depth in this paper. This study uses bibliometric analysis and indexed digital methods to map scientific publications worldwide. This study uses the Scopus database to collect information and online analysis via the Scopus website and VOSViewer to demonstrate bibliometric network mapping. We use the article selection process, starting with the keywords to be searched for, the year limitation, then the database is exported into RIS and CSV format files. From the database, we also perform network mapping using VOSViewer. Researchers in China have the most articles published and indexed by Scopus among the most prolific authors (373), followed by the United States (239) and India with 125 academic publications. Data analysis reveals an upward trend in the number of worldwide publications in BDAI in Industry, as measured by the Scopus index. © 2022 IEEE.
Bina Nusantara University, School of Computer Science, Computer Science Department, Jakarta, 11480, Indonesia; Bina Nusantara University, Entrepreneurship Business Creation, BINUS Business School, Jakarta, 11480, Indonesia; Faculty of Engineering, Universitas Negeri Padang, Department of Animation, Padang, Indonesia; University of Merdeka Malang, Department of Electrical Engineering, Malang, Indonesia
