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Industrial work practice, discipline, and vocational interest on motorcycle engineering students’ work readiness Rian Mahesa; Hasan Maksum; Wagino Wagino; Heri Prabowo
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 12 No. 1 (2026): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020266965

Abstract

This study aimed to examine the influence of Industrial Work Practice, Discipline, and Vocational Interest on students’ work readiness in the Motorcycle Engineering Department at SMK Negeri 2 Palembang. This research employed a quantitative correlational design involving 72 twelfth-grade students selected using saturated sampling. Data were collected through Likert-scale questionnaires and analyzed using descriptive statistics, Pearson correlation, simple regression, and multiple linear regression with IBM SPSS 25. The results showed that Industrial Work Practice had a positive and significant effect on work readiness (R² = 0.171; p < 0.05), Discipline demonstrated the strongest influence (R² = 0.390; p < 0.05), and Vocational Interest also significantly affected work readiness (R² = 0.122; p < 0.05). Simultaneously, the three variables contributed 59.2% to students’ work readiness. These findings indicate that practical industrial experience, strong discipline, and vocational interest are important factors in improving vocational students’ readiness to enter the workforce.
Smart and Sustainable Mobility: A Systematic Review of Industry 4.0 Applications in Automotive Sustainability, Alternative Fuels, and EV Charging Systems Wagino Wagino; Mycel A. Capilayan; Muji Setiyo; Volodymyr Tymofiiv; Dwi Sudarno Putra; Dori Yuvenda; Rahmat Desman Koto
Automotive Experiences Vol. 8 No. 3 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13431

Abstract

This systematic review analyzes the integration of Industry 4.0 technologies in sustainable manufacturing and clean energy technology within the automotive industry, focusing on electric vehicle infrastructure development and renewable energy implementation. Through a comprehensive analysis of 25 selected articles from 200 articles (10 sustainability articles, 12 alternative fuels, and 3 electric vehicle charging stations articles) published between 2018 and 2024, this study employs PRISMA methodology combined with bibliometric content and scientometric analysis. The review reveals significant temporal evolution in research focus, progressing from basic energy efficiency studies (2018-2020) to enhanced Industry 4.0 technology integration (2020-2022), culminating in strong convergence between renewable energy implementation, smart infrastructure development, and circular economy principles (2022-2024). Key findings highlight the critical role of AI, IoT, and blockchain in enabling sustainable manufacturing processes and smart grid integration for EV infrastructure. Integrating hybrid energy storage systems with clean energy technologies is crucial for addressing energy transition challenges and reducing fossil-fuel dependence. The study identifies research gaps in comprehensive methodological approaches integrating technical innovation, sustainable manufacturing, and climate action considerations, particularly in developing regions. Future research opportunities include machine learning applications for dynamic energy system optimization and innovative business models supporting sustainable technology implementation across various socio-economic contexts. This review contributes to understanding technology integration patterns in sustainable transportation systems. It provides strategic recommendations for researchers, industry practitioners, and policymakers in advancing low-carbon mobility solutions and resilient infrastructure development.