Heri Susanto
Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta

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Integrating Technical Skills, Soft Skills, and Digital Technology in Culinary Vocational Education: A Deep Learning Model for Industry 5.0 Herlina Tri Wulandari; Heri Susanto; Harun Joko Prayitno; Indri; Bayu Wardhana; Fajar Riza Ul Haq
Journal of Deep Learning Vol. 2, No. 1, June 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i1.12927

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.