Journal of Deep Learning
Vol. 2, No. 1, June 2026

Integrating Technical Skills, Soft Skills, and Digital Technology in Culinary Vocational Education: A Deep Learning Model for Industry 5.0

Herlina Tri Wulandari (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Heri Susanto (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Harun Joko Prayitno (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Indri (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Bayu Wardhana (Faculty of Bussiness and Law, Universitas Bali Internasional Muhammadiyah)
Fajar Riza Ul Haq (Faculty of Social Science, Universitas Muhammadiyah Sukabumi)



Article Info

Publish Date
19 Apr 2026

Abstract

The emergence of Industry 5.0 requires vocational education to integrate technical competencies with human-centered skills such as creativity, collaboration, and adaptability, supported by digital technology. However, culinary vocational learning remains fragmented, with these components often developed separately. This study aims to develop an integrative conceptual model to address this gap. This research adopts a qualitative conceptual approach supported by a systematic literature-based synthesis. Data were collected from Scopus, Google Scholar, and SINTA using structured keywords. The selected studies were analyzed through content analysis and thematic synthesis to identify key components and relationships for model development. The study proposes the Integrated Culinary Deep Learning Model (ICDLM), which consists of four core dimensions: culinary technical skills, soft skills (creativity and collaboration), digital technology integration, and project-based learning. These components are structured as an interconnected system that enables holistic and meaningful learning. The findings indicate that integrative approaches are more effective than fragmented methods in developing higher-order competencies such as critical thinking, adaptability, and innovation. Theoretically, this study contributes an integrative framework for vocational education. Practically, the ICDLM model provides guidance for designing adaptive and industry-relevant culinary learning. Future research is recommended to empirically validate the model.

Copyrights © 2026






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 ...