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All Journal Journal of Deep Learning
Joko Budi Utomo
Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta
Education Languange, Linguistic, Communication & Media Social Sciences

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Journal : journal of deep learning

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Strategies and Development of the Deep Learning Approach in Vocational High Schools in the Era of Global Computing Joko Budi Utomo; Harun Joko Prayitno; Indri Indri
Journal of Deep Learning Vol. 1, No. 1, June 2025
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v1i1.10855

Abstract

The transformation of vocational education in the era of the Industrial Revolution 4.0 demands the integration of learning approaches that go beyond cognitive aspects to include affective and contextual dimensions. This study aims to formulate relevant and applicable strategies for developing a deep learning approach tailored to Vocational High Schools (SMK) in Indonesia. Drawing on the principles of mindful, meaningful, and joyful learning, this research presents a conceptual and practical synthesis that can be implemented in vocational education. The findings indicate that project-based learning, digital reflection, and cross-disciplinary collaboration are effective strategies in fostering students' conceptual understanding and applied skills. Authentic assessments based on portfolios, presentations, and reflective journals are also deemed more representative in measuring deep learning outcomes. On the other hand, teacher capacity-building through transformative pedagogical training, socio-emotional reinforcement, and the formation of Professional Learning Communities is essential for successful implementation. The integration of digital technologies in vocational learning has proven to expand learning spaces and strengthen the connection between schools and industries. This study recommends strengthening policy and infrastructure support to ensure the sustainability of the deep learning approach in SMK as an adaptive, reflective, and relevant learning strategy in the digital era.
Enhancing GTAW Proficiency through ADDIE-Integrated Joyful Lear-ning Simulation: Empirical Insights from Vocational High School Implementation Joko Budi Utomo; Harun Joko Prayitno; Indri Indri; Adi Nur Cahyono; Nunuk Suryani; Ita Nuryana; Muhammad Rohmadi
Journal of Deep Learning Vol. 1, No. 2, December 2025
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v1i2.11661

Abstract

Welding practice learning in vocational schools often faces challenges such as limited equipment, time constraints, and safety risks. This study aims to implement a Welding Simulator using a joyful learning approach to improve students' practical competencies in GTAW (Gas Tungsten Arc Welding) at vocational high school level. The research is part of an ADDIE-based development process, with a focus on the implementation phase. The participants were 34 purposively selected 11th-grade students. Data were collected through practical tests (pre-test and post-test) and student perception questionnaires, analyzed using paired t-tests and descriptive statistics. The results showed a significant improvement in post-test scores compared to pre-test (from 64.2 to 77.35; p < 0.05). Students' perceptions of the media were highly positive, with an average rating of 4.00 out of 5. The simulator effectively enhanced students’ welding skills while creating an engaging and enjoyable learning environment. The study concludes that the joyful learning-based welding simulator is effective as a practical learning tool in vocational education.
Co-Authors Adi Nur Cahyono Harun Joko Prayitno Indri Indri Ita Nuryana Muhammad Rohmadi Nunuk Suryani