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Climate Change and Human Health: Strategies for Building Resilient Healthcare Systems Irene Florensia Situmeang; Samantha Gonzales; Luis Santos
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.2802

Abstract

Climate change has intensified environmental stressors that directly and indirectly threaten human health, including rising temperatures, extreme weather events, vector borne disease expansion, and disruptions to food and water security. Healthcare systems worldwide face increasing pressure as climate-related hazards exacerbate morbidity and mortality, revealing systemic vulnerabilities in infrastructure, workforce capacity, and emergency preparedness. This study aims to identify strategic approaches for strengthening healthcare system resilience in the face of climate change by examining adaptive, organizational, and technological interventions. A mixed methods design was employed, combining systematic literature analysis with case based evaluations of climate adaptation initiatives implemented across multiple regions. The findings show that integrated climate health surveillance, climate resilient infrastructure, workforce training, and digital early-warning systems are among the most effective strategies for enhancing resilience. The results also highlight that governance coordination and equitable resource allocation significantly shape adaptive capacity. The study concludes that building resilient healthcare systems requires a multisectoral approach that embeds climate risk assessment into health planning, expands adaptive technologies, and prioritizes vulnerable populations.  
Mindfulness Apps and Student Mental Health: Digital Interventions for Reducing Academic Stress Maria Clara Reyes; Luis Santos; Josefa Flores; Fauzi Aldina
Journal Emerging Technologies in Education Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i5.2902

Abstract

Background. Academic stress has become a persistent mental health concern among students due to increasing academic demands and performance pressure. Digital mental health interventions, particularly mindfulness applications, have gained attention as accessible tools for stress management, yet empirical evidence focusing on academic stress remains limited. Purpose. This study aims to examine the relationship between mindfulness app use and student mental health, with specific attention to the reduction of academic stress in educational settings. Method. The study employs a quantitative correlational design supported by descriptive case analysis. Data were collected from students using standardized questionnaires measuring mindfulness app usage, academic stress, and mental well-being. Results. The findings reveal a significant negative correlation between mindfulness app use and academic stress, along with a positive relationship between app use and mental well-being. Consistent engagement with mindfulness apps was associated with lower stress levels and improved emotional regulation. Conclusion. The study concludes that mindfulness apps function as effective digital interventions for reducing academic stress when used consistently. The novelty of this research lies in emphasizing usage consistency as a key determinant of effectiveness and in integrating quantitative and contextual evidence to explain how digital mindfulness interventions support student mental health.
Teachers’ Reflective Journals as Professional Narratives: Insights into Pedagogical Ethics and Practice Markus Oci; Luis Santos; Andres Villanueva; Ali Khan
International Journal of Educational Narratives Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i5.2560

Abstract

Background. Reflective practice has long been recognized as a cornerstone of teachers’ professional growth, offering a pathway for ethical awareness and pedagogical refinement. This study explores teachers’ reflective journals as professional narratives that reveal the moral, emotional, and intellectual dimensions of teaching. Purpose. The purpose of this research is to analyze how reflective writing fosters teachers’ ethical consciousness, self-understanding, and pedagogical decision-making within the context of daily classroom practice. Method. Using a qualitative narrative inquiry design, data were collected from 20 reflective journals written by in-service teachers over one academic semester. Results. The findings demonstrate that reflective journals function not merely as records of experience but as dialogical spaces for reconstructing professional identity and moral integrity. Teachers’ reflections revealed an ongoing interplay between personal values and institutional expectations, highlighting the ethical complexity of teaching.   Conclusion. The study concludes that reflective journaling cultivates moral sensitivity, critical awareness, and a sustained commitment to ethical teaching practice, positioning it as a vital narrative tool for professional learning.
Protection of Citizens’ Constitutional Rights in the Digital Era Mohamad Sigit Gunawan; Luis Santos; Josefa Flores
Rechtsnormen: Journal of Law Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i2.2092

Abstract

Background. The digital era has brought about significant advancements in technology, leading to an increased reliance on digital platforms for communication, transactions, and daily activities. While these technological advancements provide numerous benefits, they also raise concerns about the protection of citizens’ constitutional rights, particularly in terms of privacy, freedom of expression, and data security. Objective. This study aims to examine the protection of citizens’ constitutional rights in the digital era, focusing on the balance between technological innovation and individual rights. The research seeks to assess the effectiveness of existing legal frameworks in safeguarding privacy, freedom of speech, and other fundamental rights in the context of the digital landscape. Method. A qualitative research design was used, employing case studies, legal analysis, and interviews with legal professionals, policymakers, and technology experts. The data collected was analyzed to evaluate how well constitutional rights are protected in digital environments and to identify potential gaps in legal protection. Results. The findings indicate that while there are legal frameworks in place to protect constitutional rights, there are significant challenges in keeping pace with technological advancements. Privacy violations, surveillance concerns, and data breaches were highlighted as key issues. Conclusion. The study concludes that existing legal protections must be adapted to address the challenges posed by the digital era, with a focus on strengthening privacy laws, improving data security, and ensuring accountability in digital platforms.
A Comparative Analysis of Consumer Protection Norms in E-Commerce Between Indonesia’s Civil Law and Singapore’s Common Law Systems Agus Satory; Luis Santos; Samantha Gonzales
Rechtsnormen: Journal of Law Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i6.3014

Abstract

Background. The rapid expansion of e-commerce has intensified consumer protection challenges in digital markets. Legal systems are required to respond to issues such as information asymmetry, unfair contract terms, and limited access to remedies, particularly within cross-border online transactions. Purpose. This study aims to analyze and compare consumer protection norms in e-commerce within Indonesia’s civil law system and Singapore’s common law system, focusing on how legal tradition shapes regulatory design and enforcement mechanisms. Method. The research employs a qualitative comparative legal approach using doctrinal and normative analysis. Primary legal sources, including statutes, regulations, and judicial decisions, are examined alongside secondary legal literature through a structured comparative framework. Results. The findings reveal that Indonesia emphasizes codified rules and administrative enforcement to ensure legal certainty, while Singapore relies on judicial interpretation and principle-based regulation to maintain flexibility. Conclusion. The study concludes that legal tradition remains a decisive factor in shaping consumer protection norms in e-commerce. The novelty of this research lies in its contextual comparative analysis within Southeast Asia, demonstrating that digitalization does not eliminate legal diversity but reconfigures its expression in consumer protection law.
Environmental Law and Sustainable Development: Legal Approaches to Climate Change Mitigation Aris Krisdiyanto; Luis Santos; Maria Clara Reyes
Rechtsnormen: Journal of Law Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i1.3431

Abstract

Background. Climate change mitigation has become a central concern of environmental law, particularly within the broader framework of sustainable development. Despite the proliferation of international agreements and domestic climate legislation, inconsistencies remain in translating sustainability principles into enforceable mitigation obligations. Purpose. This study aims to analyze how environmental law operationalizes sustainable development in designing legal approaches to climate change mitigation and to evaluate the effectiveness of binding and non-binding regulatory mechanisms.   Method. The research employs a qualitative doctrinal method combined with comparative legal analysis of international instruments and selected national jurisdictions, supported by inferential assessment of emission trends and case-based judicial review. Results. The findings indicate that jurisdictions incorporating quantified emission targets, structured compliance mechanisms, and explicit sustainability principles into statutory frameworks demonstrate more consistent mitigation outcomes. Flexible policy-based approaches encourage participation but generate variable performance due to weaker enforceability. Conclusion. The study concludes that sustainable development functions most effectively as a legal standard when embedded in binding legislation supported by institutional accountability.
Learning Pattern Analysis through Learning Analytics: Improving Language Learning in Ubiquitous Contexts Muh. Safar; Luis Santos
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1770

Abstract

Background. The increasing use of technology in education, particularly application-based learning, has the potential to enhance language learning. Effective language acquisition relies on analyzing learning patterns to improve student engagement and outcomes. With the growing role of learning analytics, this research explores how technology can be applied to understand and improve language learning in a broader context. Purpose. The study aims to analyze language learning patterns through learning analytics and explore how technology can contribute to enhancing language learning in various contexts. Specifically, it focuses on identifying how different learning behaviors and engagement levels influence language proficiency. Method. A quantitative research approach was used, collecting data from 200 learners who utilized language learning applications. The data were analyzed to identify patterns in user engagement and learning behaviors, focusing on the relationship between time spent on different types of learning materials and language proficiency outcomes. Results. The findings reveal that learners who spent more time engaging with conversation and writing materials generally showed better language skills. In contrast, students with basic language proficiency were found to focus more on grammar and vocabulary materials. This suggests that more advanced learners benefit from interactive, communicative tasks, while beginners need a focus on foundational elements like grammar and vocabulary. Conclusion. The study concludes that language learning is more effective when it involves social and contextual interaction, rather than relying solely on passive methods like memorization. These findings offer valuable insights for the design of language learning applications that are more adaptive to student preferences, encouraging more personalized and engaging learning experiences. The research highlights the importance of considering different learning patterns to enhance the overall effectiveness of language learning technology.
Climate Change and Global Inequality: A Social Study of Climate Migration Nofirman Nofirman; Iriana Bakti; Luis Santos; Momena Sultana
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2120

Abstract

Background. Climate change is no longer a distant environmental issue but a present and intensifying force driving social and economic displacement across the globe. Vulnerable populations, particularly in the Global South, face disproportionate impacts in the form of rising sea levels, extreme weather events, and resource scarcity, often leading to forced migration. These dynamics underscore the intersection between climate change and global inequality, raising urgent questions about justice, adaptation, and human mobility. Purpose. This study aims to explore the social dimensions of climate-induced migration, focusing on how environmental stressors exacerbate existing inequalities and shape patterns of displacement. The research also investigates the role of governance, infrastructure, and international aid in either mitigating or perpetuating migration-related vulnerabilities. Method. A qualitative-dominant mixed-methods approach was employed, including ethnographic fieldwork in two climate-affected regions, semi-structured interviews with 30 climate migrants, and analysis of secondary data from international climate and migration databases. Data were thematically analyzed to uncover recurring patterns and socio-political contexts surrounding climate mobility. Results. Findings reveal that climate migration is not solely an environmental issue but deeply intertwined with poverty, weak governance, and limited access to resources. Migrants often face legal ambiguity, social exclusion, and economic instability in host regions. The study highlights a growing need for inclusive climate adaptation policies that address both environmental and social dimensions. Conclusion. The study concludes that addressing climate migration requires integrated strategies that bridge environmental sustainability, social equity, and human rights protections to ensure just and humane responses to climate-induced displacement.
Fintech for Inclusion or Exclusion? The Impact of Digital Credit Scoring Algorithms on Access to Finance for the Urban Poor Samantha Gonzales; Luis Santos; Andres Villanueva
Journal of Social Science Utilizing Technology Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i6.2906

Abstract

Background. The rise of fintech and digital financial services has transformed access to finance, particularly for underserved populations. However, concerns have emerged regarding the potential for digital credit scoring algorithms to either facilitate inclusion or perpetuate exclusion, especially for the urban poor. In many developing countries, these algorithms are being used to assess creditworthiness, but their reliance on big data, social media activity, and other non-traditional factors raises questions about fairness and transparency. Purpose. This study aims to evaluate the impact of digital credit scoring algorithms on access to finance for the urban poor, focusing on whether these algorithms contribute to financial inclusion or exclusion. Method. The research adopts a mixed-methods approach, combining quantitative data analysis from fintech platforms with qualitative interviews from urban poor individuals in Indonesia. Results. The findings reveal that while digital credit scoring has improved access to financial products for some, it has also disproportionately excluded individuals with limited digital footprints or those lacking access to traditional banking systems. Conclusion. The study concludes that digital credit scoring, if not carefully regulated, risks exacerbating financial inequality. Policy recommendations include enhancing transparency, addressing biases in algorithmic decision-making, and ensuring greater financial literacy to bridge the digital divide.
UTILIZING MACHINE LEARNING ALGORITHMS TO PREDICT PATIENT SURGES IN FUTURE EMERGENCY DEPARTMENTS Justam Justam; Luis Santos; Josefa Flores
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4278

Abstract

Emergency departments face increasing pressure from unpredictable patient surges that can intensify overcrowding, treatment delays, staff workload, and resource shortages. This study aimed to develop and evaluate machine learning algorithms for predicting emergency demand across multiple hospitals and forecast horizons. A quantitative multi-site predictive modeling design combined retrospective records from 1,427,860 emergency encounters with prospective validation data from 151,632 visits. Seasonal ARIMA, Poisson regression, support vector regression, random forest, long short-term memory, extreme gradient boosting, and hybrid ensemble models were compared using temporal and external validation. Results showed that the hybrid ensemble achieved the strongest twenty-four-hour performance, with a mean absolute error of 21.84 patients, mean absolute percentage error of 6.58%, and an R-squared value of 0.91. The model also produced high six-hour surge sensitivity, while recent arrivals, occupancy, ambulance activity, infectious disease indicators, bed availability, weather, air quality, and public events emerged as influential predictors. Predictive accuracy declined for longer horizons and less frequent clinical categories. The study concludes that machine learning can strengthen emergency preparedness when forecasts are explainable, continuously validated, and connected to predefined staffing, triage, bed-management, and ambulance-response protocols.