Samuel Tuan
Stella Maris Polytechnic

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CLIMATE CHANGE AND AGRICULTURE: EVALUATING THE IMPACT OF SUSTAINABLE WATER MANAGEMENT IN MITIGATING ENVIRONMENTAL RISKS Andi Rachmat Arfadly; Ivan Dimitrov; Samuel Tuan
Techno Agriculturae Studium of Research Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v3i1.3315

Abstract

Climate change poses an existential threat to global food security, primarily through the disruption of hydrological cycles and increased frequency of extreme thermal stress. This research addresses the urgent need for adaptation by evaluating the efficacy of sustainable water management in mitigating agricultural and environmental risks. The study aims to quantify how precision irrigation and moisture-retention techniques stabilize crop yields and soil health under climatic volatility. Utilizing a three-year longitudinal experimental design across sixty agricultural sites, the methodology compared precision drip irrigation and mulching against traditional flood methods. Results indicate that integrated sustainable practices reduced water consumption by 40% while enhancing water use efficiency by over 200%. Crucially, these techniques lowered soil salinity by 60% and maintained vegetation health during peak drought periods, as evidenced by stable NDVI values. Analysis confirms that the synergy between technological precision and organic soil cover creates a robust buffer against environmental degradation. This research concludes that transitioning to sustainable water governance is a fundamental prerequisite for agricultural resilience. The findings provide a scalable framework for policymakers to de-risk food systems, asserting that nature-based hydrological infrastructure is essential for long-term ecological and economic stability in a warming world.
Ubiquitous Learning Environments and Language Mastery: Designing Adaptive Platforms for 21st-Century Language Learners Nur Hakim; Samuel Tuan; Esther Allen
International Journal of Language and Ubiquitous Learning Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v4i3.3861

Abstract

Background. Ubiquitous learning environments (ULEs) have become a cornerstone in modern education, driven by the increasing use of digital technologies and mobile devices. These environments allow for continuous learning, enabling students to engage with educational content anytime and anywhere. In the context of language learning, ULEs present unique opportunities to enhance language mastery by providing adaptive, context-aware platforms that cater to the dynamic needs of 21st-century learners. However, the design and implementation of such platforms remain underexplored, particularly in how they can be optimized for language acquisition. Purpose. This study aims to design and evaluate adaptive language learning platforms within ubiquitous learning environments that support the development of language mastery. The research focuses on creating a dynamic platform that adjusts to learners’ needs, context, and progress, thereby fostering an engaging and personalized learning experience. Method. The study uses a mixed-methods approach, combining the design of a prototype adaptive language learning platform with empirical data collection from language learners using the platform. Participants’ language proficiency, engagement, and learning outcomes were assessed through pre- and post-tests, usage analytics, and surveys. Results. omes were assessed through pre- and post-tests, usage analytics, and surveys. The findings indicate that learners using the adaptive platform demonstrated significant improvements in language proficiency, particularly in speaking and listening skills. Additionally, learners reported higher engagement and satisfaction levels compared to traditional language learning methods. Conclusion. Adaptive platforms in ubiquitous learning environments can significantly enhance language learning outcomes by providing personalized and flexible learning experiences. Future research should focus on further optimizing these platforms for diverse learner populations.