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All Journal International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC)
Jack Jones
Eduaward Incorporation
Computer Science & IT Control & Systems Engineering Library & Information Science Social Sciences

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AI for Sustainable Development: Applications in Natural Resource Management, Agriculture, and Waste Management Jack Jones; Edward Harris; Yusuf Febriansah; Alfri Adiwijaya; Ihsan Nuril Hikam
International Transactions on Artificial Intelligence Vol. 2 No. 2 (2024): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i2.549

Abstract

The integration of artificial intelligence (AI) into sustainable development practices holds significant promise for addressing contemporary environmental, economic, and social challenges. This paper explores the application of AI in natural resource management, sustainable agriculture, and waste and energy management. The study employs a mixed-methods approach, combining qualitative analysis of case studies with quantitative data analysis to evaluate the effectiveness of AI technologies. Findings indicate that AI significantly enhances efficiency and effectiveness across various domains, including improved resource monitoring, optimized agricultural practices, and enhanced waste management processes. The results underscore AI's potential in mitigating climate change and promoting biodiversity through advanced predictive models and monitoring systems. This research highlights the critical role of supportive policies and infrastructure in realizing AI's benefits for sustainable development. The study concludes with recommendations for policymakers to foster AI adoption and address challenges such as high initial costs and data privacy concerns.
Creating Educational Solutions for Optimizing Learning Factory Operations and Outcomes Henry; Sarah Brown; Jack Jones
International Transactions on Education Technology (ITEE) Vol. 3 No. 2 (2025): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i2.790

Abstract

The rapid development of industrial education has prompted a growing need for effective Learning Factory (LF) management systems that integrate educational principles with industrial practices. This paper investigates the development of educational information systems tailored to optimize learning factory operations. The study aims to design an innovative information system and e-learning platform that streamlines the operational management of learning factories, ensuring effective resource allocation and maximizing the educational value of these settings. A mixed-methods approach, combining qualitative interviews with industry experts and quantitative surveys from educational institutions, was used to gather data on the needs and effectiveness of current management tools. Additionally, a prototype system was developed using agile software development methodologies. The findings reveal that the proposed system significantly improves the management of resources, enhances the learning experience, and bridges the gap between theoretical education and practical industrial applications. Moreover, the e-learning platform supports continuous knowledge transfer and facilitates real-time decision-making in the factory environment. The study concludes that the integration of tailored information systems and e-learning platforms in learning factories not only optimizes operational efficiency but also enriches the educational outcomes for students. This research offers valuable insights for educational institutions and industries aiming to align their training programs with the latest industrial advancements.
Co-Authors Alfri Adiwijaya Edward Harris Henry Ihsan Nuril Hikam Sarah Brown Yusuf Febriansah