Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal International Journal of Research in Community Services International Journal of Quantitative Research and Modeling
Rifki Saefullah
Communication in Research and Publications, Bandung, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Physics Social Sciences Other

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The Role of Industrial Operators and IIoT in AI/ML-Based Process Optimization: A Bibliometric Analysis and Research Gap Identification in the Industry 4.0 Era Renda Sandi Saputra; Rifki Saefullah
International Journal of Quantitative Research and Modeling Vol. 7 No. 2 (2026): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i2.1345

Abstract

The rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies has transformed manufacturing systems under the Industry 4.0 paradigm, enabling data-driven process optimization, predictive decision-making, and intelligent production management. Despite substantial growth in this research domain, previous bibliometric studies reported limited visibility of the Industrial Internet of Things (IIoT) and industrial operators within the AI/ML-based process optimization literature. This study aims to examine the evolution of these research themes and assess how the knowledge structure of the field has developed during the transition from Industry 4.0 to Industry 5.0. A bibliometric analysis was conducted using 362 publications retrieved from Dimensions.ai covering the period 2020–2026. Bibliometric performance indicators were analyzed using Bibliometrix (R), while science mapping and keyword co-occurrence analyses were performed using VOSviewer 1.6.20. The results reveal a continuous increase in publication output and the emergence of six major thematic clusters. AI and Smart Factory technologies remain the dominant research themes, followed by Smart Manufacturing and Cyber-Physical Systems. The analysis further shows that IIoT has evolved into a distinguishable thematic component connected to industrial connectivity, edge computing, and sensor infrastructures. In addition, a new human-centered cluster has emerged, characterized by concepts such as Operator 4.0, human-in-the-loop systems, collaborative robotics, and human-centered AI. Although both IIoT and operator-related themes have gained visibility, their thematic prominence remains lower than that of the dominant AI and smart manufacturing clusters. The findings indicate a gradual shift toward a more integrated manufacturing paradigm that combines intelligent algorithms, industrial connectivity, and human expertise, reflecting the broader transition from Industry 4.0 to Industry 5.0.
Enhancing Community Economic Independence through Capacity-Building Training Services: The Mediating Role of MSME Development Strategies Deva Putra A; Dede Irman Pirdaus; Rifki Saefullah
International Journal of Research in Community Services Vol. 7 No. 2 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i2.1295

Abstract

The role of Micro, Small, and Medium Enterprises (MSMEs) in strengthening community economic independence has become increasingly important, particularly in developing countries. However, many MSMEs still face challenges related to limited managerial capacity, low financial literacy, and ineffective business strategies. This study aims to analyze the effect of capacity-building training services on community economic independence, with MSME development strategies acting as a mediating variable. A quantitative approach was employed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test the relationships among variables. The results indicate that capacity-building training services have a significant positive effect on MSME development strategies and community economic independence. Furthermore, MSME development strategies significantly influence economic independence, demonstrating their role in improving business performance and sustainability. The mediation analysis reveals that MSME development strategies partially mediate the relationship between training services and economic independence, indicating that training becomes more effective when translated into practical business strategies. This study highlights the importance of integrating training programs with strategic implementation to achieve sustainable economic outcomes. The findings provide both theoretical and practical contributions by emphasizing the role of strategy as a key mechanism in transforming capacity building into economic independence. Therefore, policymakers and practitioners are encouraged to design training programs that focus not only on knowledge transfer but also on the development of actionable business strategies.
Co-Authors Dede Irman Pirdaus Deva Putra A Renda Sandi Saputra