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The Indonesian government prioritizes development in the 3T regions: frontier, outermost, and least-developed areas, which are vital for holistic progress. Aligned with the Golden Generation program, it emphasizes education, tech access, and entrepreneurship to empower youth against societal challenges. Larantuka, in East Nusa Tenggara of Indonesia, exemplifies local maritime culture’s influence and the need for personalized e-learning which is rooted in tradition. Qualitative research was conducted and identified two key factors: content reflecting collective memory and offline accessibility. Local culture alongside formal education fosters character building and lifelong learning by integrating theoretical teachings with practical applications, based on the cultural value of “gotong royong” (mutual cooperation). This approach ensures that Indonesia’s cultural heritage thrives amidst educational progress. Full article

Smart manufacturing (SM) is a term generally applied to the improvement in manufacturing operations through integration of systems, linking of physical and cyber capabilities, and taking advantage of information including leveraging the big data evolution. SM adoption has been occurring unevenly across industries, thus there is an opportunity to look to other industries to determine solution and roadmap paths for industries such as biochemistry or biology. The big data evolution affords an opportunity for managing significantly larger amounts of information and acting on it with analytics for improved diagnostics and prognostics. The analytics approaches can be defined in terms of dimensions to understand their requirements and capabilities, and to determine technology gaps. The semiconductor manufacturing industry has been taking advantage of the big data and analytics evolution by improving existing capabilities such as fault detection, and supporting new capabilities such as predictive maintenance. For most of these capabilities: (1) data quality is the most important big data factor in delivering high quality solutions; and (2) incorporating subject matter expertise in analytics is often required for realizing effective on-line manufacturing solutions. In the future, an improved big data environment incorporating smart manufacturing concepts such as digital twin will further enable analytics; however, it is anticipated that the need for incorporating subject matter expertise in solution design will remain. Full article