Pelatihan Internet of Things (IoT) untuk Peningkatan Kompetensi Operator dalam Mendukung Implementasi Smart Manufacturing

Authors

  • Aria Indratama Teknik Pemeliharaan Mesin Otomasi, Akademi Komunitas Toyota Indonesia, Karawang
  • Kurniansyah Kurniansyah Teknik Pemeliharaan Mesin Otomasi, Akademi Komunitas Toyota Indonesia, Karawang
  • Dina Kartika Tata Operasi Perakitan Kendaraan Roda 4, Akademi Komunitas Toyota Indonesia, Karawang

DOI:

https://doi.org/10.37278/bhaktikaryadaninovatif.v6i1.1483

Keywords:

Internet of Things (IoT), Industri 4.0, Project-Based Training, Human Resource Competency Development, Industrial Digital Transformation

Abstract

The era of Industry 4.0 has driven various industrial sectors to continuously improve productivity while balancing cost, quality, and market stability to remain competitive. Human resources play a strategic role in this transformation, encompassing the abilities, knowledge, skills, and individual potential needed to support organizational excellence. To enhance the competencies of production and maintenance operators at PT T in the field of Internet of Things (IoT), a community service program was conducted through training and hands on practice using a project based learning approach. The results show that the training model, which integrated conceptual materials with practical activities using IoT simulators, effectively strengthened participants’ mastery of microcontrollers, basic Arduino programming, and the use of digital analog sensors. Beyond the improvement of technical competencies, the program also generated positive social impacts, characterized by increased collaboration and mutual support among participants, the emergence of greater awareness of the importance of IoT for data driven decision making, and the rise of local leaders who have the potential to become agents of technological change in their workplaces. Therefore, this training model can be replicated as a strategic approach for strengthening industrial human resources to meet the demands of digitalized manufacturing environments.

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Published

2026-02-27