Journal of Deep Learning
Vol. 1, No. 2, December 2025

Enhancing GTAW Proficiency through ADDIE-Integrated Joyful Lear-ning Simulation: Empirical Insights from Vocational High School Implementation

Joko Budi Utomo (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Harun Joko Prayitno (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Indri Indri (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Adi Nur Cahyono (Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang)
Nunuk Suryani (Faculty of Teaching Training and Education, Universitas Sebelas Maret)
Ita Nuryana (Faculty of Ecomonic and Bussines, Universitas Negeri Semarang)
Muhammad Rohmadi (Faculty of Teaching Training and Education, Universitas Sebelas Maret)



Article Info

Publish Date
20 Sep 2025

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.

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Journal Info

Abbrev

jdl

Publisher

Subject

Education Languange, Linguistic, Communication & Media Social Sciences

Description

The Journal of Deep Learning is dedicated to advancing research on deep learning as a methodological approach in education and AI-based technological development. We emphasize deep learning integrated with artificial intelligent (AI) that fosters meaningful, joyful, and mindful education—rooted in ...