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Developing a Visual Module-Based Internship Learning Model for Students with Deafness in Vocational High School Ewit Dihasma Yulianingrum; Kokom Komariah
Green Engineering: International Journal of Engineering and Applied Science Vol. 3 No. 2 (2026): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v3i2.283

Abstract

This study aims to identify the learning needs of deaf students in internship programs, examine the challenges they face, develop appropriate solutions, and design as well as evaluate a visual module-based learning model to improve their work skills. The study used a Research and Development (R&D) approach with a 4D model: Define, Design, Develop, and Disseminate. The participants included deaf students from special needs high schools (SMALB) involved in vocational internships, mentor teachers, and industry supervisors. Data were collected through observation, interviews, questionnaires, documentation, and focus group discussions, and analyzed using qualitative techniques supported by descriptive analysis. The findings indicate that deaf students require visual, structured, and easily understandable work instructions supported by symbols, color codes, and guidance materials. Major challenges include limited verbal communication, difficulty understanding instructions, and risks of procedural errors. To address these issues, a systematic and communicative visual module-based learning model was developed, incorporating collaborative support from schools and industry. The resulting model integrates planning, implementation, mentoring, and evaluation stages, and has proven feasible and effective in enhancing students’ independence, technical competence, and overall work readiness.
Framework for Culinary Entrepreneurship Learning System Integrating Pedagogy and Analytics Perdana Suteja Putra; Grahita Prisca Brillianti; Kokom Komariah; Adhe Rizky Anugerah; Rhismah Tri Wahyuni; Faris Zulfan Ibrahim; Amar Al Haq; Azzuhra Muqaddasa Ginting; Harun Stephen Nafie
Sistemasi: Jurnal Sistem Informasi Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.5737

Abstract

Entrepreneurship education in Indonesian vocational higher education remains constrained by theoretical approaches and generic learning management systems (LMS) that do not fully capture the multidimensional competencies required for entrepreneurial readiness. The culinary sector, which contributes nearly 42% of the creative economy’s GDP and is dominated by micro, small, and medium enterprises (MSMEs), highlights the urgent need for tailored pedagogical and technological solutions. This study proposes a conceptual framework for a culinary entrepreneurship learning information system, designed by integrating Deep Learning pedagogy, Innovation Canvas, and learning analytics. Drawing on preliminary findings from focus group discussions with practitioners and surveys of student competence, the research employed a conceptual design methodology guided by human-centered design principles. The resulting framework maps stakeholder needs into system components, including competency dashboards, e-portfolios, gamified features, and analytics-driven monitoring of five core entrepreneurial competencies: mentality, management, legality, branding, and networking. The framework demonstrates how reflective pedagogy can be operationalized into an information system architecture, bridging the gap between entrepreneurship education and digital innovation. Academically, it extends the literature on integrating pedagogy and information systems, while practically, it offers a replicable blueprint for higher education institutions seeking to enhance graduate employability and entrepreneurial readiness. The novelty of this study lies in integrating deep learning pedagogy, innovation canvas, and learning analytics into a unified conceptual framework for vocational entrepreneurship education—an approach not previously applied in the culinary education context. Future research should focus on prototyping, usability testing, and empirical validation to ensure the framework’s effectiveness and scalability.