Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Journal of Multidisciplinary Sustainability Asean Journal Emerging Technologies in Education
Olivia Jimenez
Galen University
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Other

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Food Security and Climate Change Impacts on Nutrition: Exploring Vulnerabilities in Food Systems and Their Health Consequences Muh. Aniar Hari Swasono; Carlos Chavarria; Olivia Jimenez
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3641

Abstract

Background. Climate change has emerged as a major threat to global food security, profoundly affecting food availability, accessibility, utilization, and stability, with direct consequences for human nutrition and health. Disruptions in food systems caused by rising temperatures, extreme weather events, and environmental degradation have intensified nutritional vulnerabilities, particularly among low-income and climate-sensitive populations. Purpose. This study aims to explore how climate change impacts food systems and to assess the resulting nutritional and health consequences across different socio-economic contexts. Method. A mixed-methods approach was employed, combining secondary data analysis from global food security, climate, and nutrition databases with a systematic review of peer-reviewed literature and international reports. Descriptive and comparative analyses were used to identify patterns of vulnerability, while thematic analysis was applied to examine pathways linking climate stressors, food systems, and nutritional outcomes. Results. The results indicate that climate change significantly undermines food system resilience, leading to reduced dietary diversity, increased micronutrient deficiencies, and heightened risks of malnutrition. The impacts are most pronounced in regions with limited adaptive capacity and weak food governance structures. Conclusion. The study concludes that strengthening food system resilience through climate-adaptive policies, sustainable agricultural practices, and integrated nutrition strategies is essential to mitigate health risks and ensure long-term food security in a changing climate.
Circular Economy in Waste Management Systems: Technological Innovations for Sustainable Resource Recovery and Waste Minimization Obed Patiung; Olivia Jimenez; Luis Ramirez
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i3.3851

Abstract

Background. Rapid urbanization and industrial growth have exacerbated waste generation worldwide, challenging traditional waste management systems and threatening environmental sustainability. Linear disposal practices often lead to resource depletion, pollution, and increased greenhouse gas emissions. Circular economy principles offer a strategic framework to transform waste streams into valuable resources, emphasizing reuse, recycling, and technological innovation for sustainable management. Purpose. This study aims to investigate how technological innovations can enable circular economy practices in waste management, enhance resource recovery, and minimize environmental impacts. The research evaluates the effectiveness of advanced waste treatment technologies, process optimization, and material recovery strategies across diverse urban and industrial contexts. Method. A mixed-methods approach was employed, combining systematic literature review, technical performance analysis, and comparative case studies of innovative waste management systems. Data on recycling efficiency, resource recovery rates, energy recovery, and environmental impacts were collected and analyzed to assess the practical contribution of technological interventions. Results. Results indicate that integration of automation, smart sorting, bioconversion, and advanced material recovery significantly improves resource efficiency and reduces landfill dependency. Case studies demonstrate measurable reductions in waste volumes, improved material circularity, and enhanced sustainability outcomes. Conclusion. The study concludes that technological innovation is critical for operationalizing circular economy principles in waste management systems, providing both environmental and economic benefits while supporting sustainable urban development.
From Resistance to Resilience Psychological Factors Influencing Teachers' Adoption of AI Tools Amie Primarni; Carlos Chavarria; Olivia Jimenez
Journal Emerging Technologies in Education Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i1.3518

Abstract

Background. Rapid advancements in artificial intelligence (AI) technologies are transforming educational environments and reshaping teaching practices worldwide. Educational institutions increasingly encourage teachers to integrate AI-powered tools such as generative systems, intelligent tutoring platforms, and automated feedback technologies into classroom activities. Despite the potential benefits of AI for improving instructional efficiency and personalized learning, many teachers initially demonstrate hesitation or resistance toward adopting these technologies. Psychological factors such as technological self-efficacy, perceived usefulness, technological anxiety, and professional identity concerns play a critical role in shaping teachers’ responses to AI-driven educational innovation. Purpose. This study aims to examine the psychological factors influencing teachers’ adoption of AI tools and to explore how educators transition from resistance toward resilience when interacting with emerging educational technologies. Method. A mixed-methods research design was employed involving 120 in-service teachers from various subject areas. Data were collected through structured questionnaires measuring psychological constructs related to AI adoption and through semi-structured interviews exploring teachers’ experiences with AI tools. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis. Results. The findings indicate that technological self-efficacy, perceived usefulness of AI tools, and psychological resilience significantly influence teachers’ intention to adopt AI technologies. Initial resistance tends to decrease as teachers gain practical experience, receive institutional support, and develop greater confidence in using AI tools. Conclusion. Psychological readiness is a key determinant of successful AI integration in education. Strengthening teachers’ self-efficacy, reducing technological anxiety, and fostering resilience through training and institutional support can facilitate more effective adoption of AI-driven teaching practices.
Co-Authors Carlos Chavarria Luis Ramirez Muh. Aniar Hari Swasono Obed Patiung