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ECOTHEOLOGY IN RELIGIOUS TEXTS: ISLAMIC, CHRISTIAN, HINDU, AND BUDDHIST PERSPECTIVES ON RESPONDING TO THE ENVIRONMENTAL CRISIS Rusmiati, Elis Teti; Maryasih, Ni Luh Kerti; Hutasoit, Binsar Mangaratua; Widoyo, Heru
Moestopo International Review on Social, Humanities, and Sciences Vol. 3 No. 2 (2023)
Publisher : Universitas prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/mirshus.v3i2.126

Abstract

The global environmental crisis demands solutions that are not only rooted in science and policy but also address spiritual and ethical dimensions. Various religious traditions emphasize human responsibility in maintaining ecological balance. This study explores the concept of ecotheology within religious texts—Islam, Christianity, Hinduism, and Buddhism—to understand how religious values can synergize in responding to environmental challenges. Using a religious hermeneutic approach, this research analyzes verses from the Qur'an, the Bible, the Vedas, and the Tripitaka that discuss the human-nature relationship. The findings reveal that all four religions share fundamental principles that emphasize ecological balance, such as the concept of khalifah in Islam, stewardship in Christianity, karma and ahimsa in Hinduism, and the interdependence of living beings in Buddhism. The synergy of these values can serve as an ethical foundation for faith-based environmental movements and sustainable policies. Furthermore, this study examines the role of religious institutions in promoting ecological awareness through education, preaching, and social action. It recommends efforts to reinterpret religious texts to be more contextual to modern ecological challenges and to encourage interfaith collaboration in environmental advocacy. Thus, ecotheology can serve as a multidisciplinary approach that integrates religion, ethics, and ecosystem sustainability in contemporary society.
Early Intervention Strategies for Self-Harm Prevention Using AI-Driven Behavior Tracking in Teenagers Samsinas, Samsinas; Sapruddin, Sapruddin; Widoyo, Heru; Marzuki , Marzuki
International Journal of Research in Counseling Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i1.306

Abstract

Background. Self-harm among teenagers has become an increasing public health concern, often linked to emotional distress, social pressure, and undiagnosed mental health issues. Traditional intervention strategies often detect these behaviors after they occur. The emergence of artificial intelligence (AI) in mental health opens new possibilities for earlier detection and proactive intervention, especially through behavior tracking technologies. Purpose. This study aimed to explore early intervention strategies for self-harm prevention by utilizing AI-driven behavior tracking tools among teenagers. The research also examined the potential effectiveness of AI in identifying early warning signs based on digital behavior patterns. Method. This mixed-methods study involved 150 teenagers aged 13–18 across three urban schools. AI-based applications were installed on participants’ devices with consent to monitor digital activity patterns (e.g., sleep irregularities, social withdrawal, online search behavior). Psychological assessments and structured interviews were also conducted. Data were analyzed using a combination of statistical trend analysis and qualitative content analysis. Results. Findings indicate that AI algorithms successfully detected behavioral anomalies correlated with self-harm risk, such as significant decreases in social interaction, increased usage of depressive language, and disrupted sleep patterns. The AI tool enabled counselors to initiate timely interventions before self-harm behaviors escalated. Participants reported greater emotional safety and support when interventions occurred early. Conclusion. AI-driven behavior tracking shows promise as an early intervention tool for preventing self-harm in teenagers. Integrating such technology with school counseling programs could enhance mental health support systems. However, ethical concerns regarding privacy and data sensitivity must be addressed to ensure responsible implementation.
Meta-Analysis: The Effect of Ethnoscience-Based Project Based Learning Model on Students' Critical Thinking Skills Rahman, Arief Aulia; Santosa, Tomi Apra; Nurtamam, Mohammad Edy; Widoyo, Heru; Rahman, Abdul
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.4871

Abstract

This study aims to determine the effect size of ethnoscience-the based project-based learning model on students' critical thinking skills. This type of research is a meta-analysis. Data sources come from 20 national and international journals published from 2015-2023.  The search for data sources comes from the google scholar journal database, Eric, ScienceDirect, and ProQuest. The process of selecting data sources using the PRISMA method. Data collection techniques through direct observation and documentation through journal databases. The data analysis technique in this meta-analysis is quantitative statistical analysis with the help of the Comprehensive Meta-Analysis (CMA) version 3.0 application. The results showed an average effect size of 0.827 with high criteria and a standard error of 0.088. This finding shows that the ethnoscience-based Project Based Learning (PjBL) model has a positive effect on students' critical thinking skills.