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All Journal Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration
Koto, Jaswar
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Aerospace Engineering Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Renaldo, Nicholas; Veronica, Kristy; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila
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.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.
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.
Co-Authors A, Priyanto A., Maimun A.S.A, Kader Abdul Halim, Muhammad Farid Abdul Khair Junaidi Abyn, Hassan Achmad Tavip Junaedi Afrizal, Efi Ahmad, Norhaziyah Afiqah Binti Ahmed, Yasser Mohamed Alias, Adib Zulhilmi Mohd Amin, Amirul Ammoo, M.S Ammoo, Mohd. Shariff bin Amran, Nur Aireen Amries Rusli Tanjung Aref, A. Awal, Ziad Bin Abdul Bin Mohd Alwi, Mohd Amirul Hamdi Cecilia, Cecilia Dalil, M Dalil, M. Dehghani, Zahra Dodi Sofyan Arief, Dodi Sofyan Effendy, Moh Hafidz Firdaus Firdaus Fransisca, Luciana Gusrio Tendra Harry Patuan Panjaitan Hutahuruk, Marice Br Indrastuti, Sri Ishak, I.S. Jahrizal Jamil Haron, Surhan Junaidi, Abd Khair Kader, A.S.A. Khairuddin, N. M. Khairuddin, N.M. Kidd, Peter M., Zamani Marlim, Yulvia Nora Munirah, M. Musa, Sulaiman Nekooei, Mohammad Javad Nicholas Renaldo Nik Ismail, Nik Mohd Khairuddin B. Nikfarjam, M. Nofrizal Nofrizal Nyoto Nyoto, Nyoto Patrick, Bayo-Philip Prayetno, E. Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyanto, A. Purnama, Intan Putri, Novita Yulia Rahman, Sarli Rashidi, M. Rui, Hao Sanusi Sanusi Seif, M. S. Siow, C.L Siow, C.L. Sow, C.L Suhardjo Suhardjo Suhardjo Umar Faruq Veronica, Kristy Wahid, Nabila Wilda Susanti Yaacob, Amirrudin Yaakob, O. B. Zakaria, Zainul Azhar Zarina, M.K Puteri Zulkarnain Zulkarnain