Green Digital Education Model with AI and IoT Integration in Sustainable Goat Farming Curriculum

Arih Dwi Prihastomo; Nicholas Renaldo; Achmad Tavip Junaedi; Marice Br Hutahuruk; Muhammad Pringgo Prayetno; Umar Faruq; Jaswar Koto; Jahrizal Jahrizal; Nyoto Nyoto; Luciana Fransisca

doi:10.61230/reflection.v3i1.149

Authors

Arih Dwi Prihastomo Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Nicholas Renaldo Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Achmad Tavip Junaedi Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Marice Br Hutahuruk Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Muhammad Pringgo Prayetno Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Umar Faruq Universitas Islam Negeri Sultan Syarif Kasim Riau, Indonesia
Jaswar Koto Ocean and Aerospace Research Institute, Japan
Jahrizal Jahrizal Universitas Riau, Indonesia
Nyoto Nyoto Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Luciana Fransisca Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia

DOI:

https://doi.org/10.61230/reflection.v3i1.149

Keywords:

Green Digital Education, Artificial Intelligence (AI), Internet of Things (IoT), Sustainable Goat Farming, Material Flow Cost Accounting (MFCA), Environmental Accounting, Smart Agriculture, Education 4.0, Decision Support System (DSS), Sustainability Learning

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.

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