Affilla Fetty Anggraheni
AMIK Mahaputra Riau, Indonesia

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Enhancing Computer Students’ Technological and Entrepreneurial Skills Through Industry-Supported Bread Proofer Learning Wilda Susanti; Yenny Desnelita; Nicholas Renaldo; Achmad Tavip Junaedi; Suhardjo Suhardjo; Mukhsin Mukhsin; Yohanes Yohanes; Dewi Fortuna Ayu; Jahrizal Jahrizal; Affilla Fetty Anggraheni
Reflection: Education and Pedagogical Insights Vol. 4 No. 2 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i2.161

Abstract

This study explores the potential of an industry-supported bread proofer as a practice-based learning platform for enhancing computer students’ technological and entrepreneurial skills. The study employed a qualitative descriptive approach involving five computer students who participated in learning activities using an industry-supported bread proofer. Data were collected through observation, semi-structured interviews, and student reflections and analyzed using thematic analysis. The findings indicate that interaction with the bread proofer helped students connect computer-related knowledge with a real industrial production process. Students developed a broader understanding of sensors, automation, data collection, Internet of Things (IoT), monitoring, and system control. The learning activities also stimulated entrepreneurial thinking, particularly in identifying technological problems, recognizing business opportunities, developing technology-based solutions, and considering value creation for bakery businesses. The findings further indicate that industry-supported equipment can function as more than laboratory infrastructure; it can serve as an authentic cyber-physical learning environment that connects technological education, problem solving, innovation, and entrepreneurship. The study highlights the potential of industry–university collaboration to provide authentic and industry-relevant learning experiences for computer students. Although the findings cannot be generalized due to the qualitative design and limited participants, they provide an initial foundation for integrating industrial equipment from non-computing sectors into interdisciplinary computer education.
Smart Multi-Species Milk Bank System (SM²BS) Integrating Cold Chain Management, Digital Traceability, and Nutritional Profiling of Cow, Goat, Sheep, Mare, and Buffalo Milk Nicholas Renaldo; Azridjal Aziz; Achmad Tavip Junaedi; Suhardjo Suhardjo; M. Dalil; Erpiani Siregar; Marice Br Hutahuruk; Muhammad Pringgo Prayetno; Arih Dwi Prihastomo; Affilla Fetty Anggraheni
Reflection: Education and Pedagogical Insights Vol. 4 No. 3 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i3.169

Abstract

The Smart Multi-Species Milk Bank System (SM²BS) is proposed as an integrated digital platform to improve milk supply chain management through cold chain management, digital traceability, and nutritional profiling. This study adopts a qualitative approach involving literature review, observation of milk handling processes, and stakeholder discussions to identify operational challenges and develop a conceptual framework for managing cow, goat, sheep, mare, and buffalo milk. Building on the existing Smart Milk Bank System (SMBS) prototype and preliminary goat milk quality testing conducted with CV Cahaya Firdaus, the proposed system integrates batch identification, quality records, storage conditions, and comparative nutritional data. Its disruptive novelty lies in connecting multi-species nutritional intelligence with cold chain monitoring and end-to-end traceability within a unified digital ecosystem. The framework is expected to support improved transparency, quality management, inventory coordination, and informed decision-making across milk supply chains. However, the proposed multi-species functionality and its operational benefits require further implementation and validation. This study provides a conceptual foundation for developing a more integrated, data-driven milk bank system and strengthening dairy supply chain resilience.