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Green Digital Education Model with AI and IoT Integration in Sustainable Goat Farming Curriculum Prihastomo, Arih Dwi; Renaldo, Nicholas; Junaedi, Achmad Tavip; Hutahuruk, Marice Br; Prayetno, Muhammad Pringgo; Faruq, Umar; Koto, Jaswar; Jahrizal, Jahrizal; Nyoto, Nyoto; Fransisca, Luciana
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.149

Abstract

The rapid advancement of Artificial Intelligence (AI) and Internet of Things (IoT) technologies has transformed agricultural production systems; however, their integration into agricultural education remains limited. This study develops and evaluates a Green Digital Education Model that integrates AI, IoT, and Material Flow Cost Accounting (MFCA) into a Sustainable Goat Farming Curriculum. Using a Research and Development (R&D) approach, the study followed four phases: needs analysis and curriculum mapping, system development and technological integration, pilot implementation, and evaluation. IoT sensors were deployed to collect real-time environmental and livestock data, which were integrated into a cloud-based dashboard and an AI-driven Decision Support System (DSS). An MFCA module was incorporated to enable environmental cost analysis and greenhouse gas emission calculations based on standardized methodologies. Pilot implementation in selected university courses demonstrated significant improvements in students’ digital literacy, sustainability awareness, and analytical decision-making skills, as evidenced by pre-test and post-test comparisons. Qualitative findings indicated increased engagement, motivation, and interdisciplinary collaboration. The model transforms conventional livestock education into a technology-driven “living laboratory,” aligning agricultural curricula with Education 4.0 principles and sustainability reporting standards. The study contributes a scalable framework for integrating green technology and digital innovation into higher education, supporting environmentally responsible and data-driven agricultural practices.
Value Co-Creation and Digital Marketplace Strategy in Enhancing Commercialization Performance, An Educational Perspective from Fortified Goat Milk Entrepreneurship Prihastomo, Arih Dwi; Renaldo, Nicholas; Junaedi, Achmad Tavip; Panjaitan, Harry Patuan; Nyoto, Nyoto; Hutahuruk, Marice Br; Faruq, Umar; Prayetno, Muhammad Pringgo; Wati, Yenny; Fransisca, Luciana
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.151

Abstract

The rapid transformation of the digital economy has reshaped entrepreneurial practices, particularly within agribusiness sectors that increasingly rely on digital platforms to enhance market reach and competitiveness. This study examines the role of value co-creation and digital marketplace strategy in enhancing commercialization performance from an educational perspective within the context of fortified goat milk entrepreneurship. Using a quantitative explanatory design, data were collected from 156 participants involved in entrepreneurship learning programs integrated with real-world digital commercialization activities. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that value co-creation significantly influences digital marketplace strategy and commercialization performance. Digital marketplace strategy also significantly affects commercialization performance and partially mediates the relationship between value co-creation and commercialization performance. The model demonstrates substantial explanatory power, suggesting that collaborative engagement supported by structured digital systems enhances measurable business outcomes. From an educational perspective, the findings reveal that commercialization performance can function as a practical learning outcome within experiential entrepreneurship education. The study contributes to the literature by integrating service-dominant logic, digital marketing strategy, and entrepreneurship education into a unified framework. It highlights that digital value co-creation is not only a strategic driver of market performance but also a transformative pedagogical approach in technology-enabled agribusiness development.
Material Flow Cost Accounting (MFCA)-Driven Smart Goat Livestock Management System Prayetno, Muhammad Pringgo; Renaldo, Nicholas; Faruq, Umar; Junaedi, Achmad Tavip; Hutahuruk, Marice Br; Suhardjo, Suhardjo; Prihastomo, Arih Dwi; Nyoto, Nyoto; Panjaitan, Harry Patuan; Fransisca, Luciana
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.148

Abstract

The livestock sector plays a crucial role in food security and rural economic resilience; however, goat farming management in developing economies remains largely traditional and weakly integrated with structured environmental accounting systems. This study develops and validates a Material Flow Cost Accounting (MFCA)-Driven Smart Goat Livestock Management System, which integrates environmental management accounting, Internet of Things (IoT) monitoring, emission estimation, and artificial intelligence (AI)-based decision support within a unified digital platform. Using a design science research approach combined with field validation, the system was implemented in a medium-scale goat farm over a two-month period. The MFCA model quantified material inputs and outputs in both physical and monetary terms, including feed conversion, waste generation, and methane (CH₄) and nitrous oxide (N₂O) emissions based on IPCC Tier 1 guidelines. The results demonstrate improvements in feed efficiency (from 74% to 84%), mortality reduction (from 8% to 4%), increased data accuracy (from 60% to 92%), and a 22% improvement in eco-efficiency ratios. The AI module achieved 87% accuracy in estrus detection and 84% accuracy in early disease classification. The study extends MFCA application from manufacturing to biological production systems and introduces the concept of accounting-driven smart farming, where environmental accounting is embedded within digital infrastructure. The findings contribute to the advancement of Digital Environmental Management Accounting (Digital EMA) and provide a scalable model for sustainable livestock transformation in emerging economies.