This study investigates how LPK Gema Informatika (LGI) supports technician development through a modular, selftraining model within a non-formal vocational setting, addressing the limited understanding of how such institutions build both competence and mobility.The shortage of automation-capable technicians has intensified with industrial digitization, yet little is known about the learning mechanisms that enable workers in non-formal programs to meet these emerging demands.Using a qualitative explanatory case study, the research draws on in-depth interviews, participant observation, and document analysis involving 24 trainees and alumni, five instructors, one coordinator, and eight industry partners.Thematic analysis shows that modular learning created a structured progression from basic concepts to advanced automation tasks, while self-training practices fostered independent troubleshooting, sustained practice, and reflective decision-making.Together, these processes strengthened professional agency and supported the transfer of skills into workplace environments.Participants described upward shifts in employment, wage improvements, and emerging entrepreneurial activities, and employers noted immediate operational readiness among graduates.The study advances understanding of how modular design and self-regulated learning interact to support functional role preparation and socio-economic mobility in non-formal technical education.These insights offer a theoretically grounded basis for scalable approaches to workforce readiness in rapidly industrializing contexts.
MARSUDI et al. (Thu,) studied this question.