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DESIGN AND THERMAL PERFORMANCE OF MODULAR ISLAMIC ARCHITECTURE USING LOCAL CLIMATE-RESPONSIVE MATERIALS Sulaiman Sulaiman; Sokha Dara; Ravi Dara
Journal of Moeslim Research Technik Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i3.2353

Abstract

Contemporary architecture in many Islamic countries faces the dual challenge of preserving cultural identity while addressing energy efficiency and thermal comfort in harsh climatic conditions. This research explores the integration of modular construction with the timeless principles of Islamic architecture and the use of indigenous, climate-responsive materials as a sustainable solution. A prototype of a modular residential unit was designed, incorporating key Islamic architectural elements such as a central courtyard, mashrabiya (ornate lattice screens), and strategic orientation. The design utilized locally sourced materials with high thermal mass, such as rammed earth and reclaimed timber. The thermal performance was rigorously evaluated using computational fluid dynamics (CFD) and dynamic thermal simulations with EnergyPlus software. The simulation results were benchmarked against a conventional modern residential unit of equivalent size. The integration of passive design strategies resulted in a 25% reduction in annual cooling loads. Indoor operative temperatures remained within the comfort zone for 60% longer than the baseline case, substantially minimizing reliance on mechanical air conditioning. The mashrabiya and courtyard proved effective in facilitating natural ventilation and reducing solar heat gain. This study validates that merging modular construction with climate-responsive local materials and Islamic architectural wisdom offers a viable path toward sustainable and culturally resonant architecture.
THE EFFECTS OF SLEEP DEPRIVATION ON COGNITIVE FUNCTION AND EMOTIONAL REGULATION: AN EXPERIMENTAL APPROACH Zainol Hasan; Vann Sok; Sokha Dara
World Psychology Vol. 5 No. 3 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v5i3.1298

Abstract

Sleep is a fundamental biological process that supports cognitive efficiency, emotional stability, and overall psychological well-being. Increasing academic demands, technological engagement, occupational pressures, and lifestyle changes have contributed to a growing prevalence of sleep deprivation across various populations. Insufficient sleep has been associated with impairments in cognitive performance and emotional functioning, yet the interconnected effects of sleep loss on these domains remain insufficiently understood. This study aims to examine the effects of sleep deprivation on cognitive function and emotional regulation through a controlled experimental approach. A randomized controlled pretest-posttest design was employed involving 120 healthy young adults aged 18–25 years. Participants were randomly assigned to either a sleep deprivation group or a control group maintaining a normal sleep schedule. Cognitive performance was assessed using standardized neuropsychological tests measuring attention, working memory, and executive functioning, while emotional regulation was evaluated through validated psychological scales. Statistical analyses included repeated-measures analysis of variance, independent-samples t-tests, and correlation analyses. Findings revealed that sleep deprivation significantly reduced attention, working memory, executive functioning, emotional stability, and positive affect. Significant associations were also identified between declines in executive functioning and impairments in emotional regulation. The study concludes that sleep deprivation exerts a substantial negative influence on both cognitive and emotional processes, highlighting the critical role of adequate sleep in maintaining adaptive psychological functioning and overall well-being.
Decoding Lost Languages: A Philological Study of Ancient Texts Sri Nur Rahmi; Vann Sok; Sokha Dara
Journal of Humanities Research Sustainability Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v1i4.1798

Abstract

Background. This research focuses on the decoding of ancient languages and the complexity of the symbols used by the Egyptian, Mesopotamian, and Indus Valley civilizations. The background of the research is based on the importance of understanding language as a key tool for uncovering the social, spiritual, and administrative lives of past civilizations. Purpose. The purpose of the study was to explain how these symbols can be interpreted using a combination of traditional philological methods and artificial intelligence technology.   Method. The methods used include manual linguistic analysis supported by modern algorithms to speed up the decoding process. Results. The results showed that the symbols of Ancient Egypt were easier to decrypt due to additional documentation, while the symbols from the Indus Valley remained difficult to understand. Symbols from Mesopotamia show complex dual meanings, especially in religious and astronomical contexts. Case studies show that ancient languages are multifunctional tools that reflect advanced social and spiritual structures.   Conclusion. The conclusion of the study confirms that an interdisciplinary approach is essential to uncover more secrets from past civilizations. This research enriches the understanding of ancient languages and shows that technology can speed up the decoding process, although it is not yet fully adequate. This contribution paves the way for further research involving global collaboration and the development of new technologies.
The Philosophy of "Tri Hita Karana": A Balinese Philosophical Framework for a Sustainable Human-Nature-Divine Relationship Wijaya Wijaya; Chenda Dara; Sokha Dara
Journal of Humanities Research Sustainability Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i6.2785

Abstract

Background. The rapid ecological degradation occurring across Southeast Asia has intensified scholarly interest in indigenous philosophical systems that articulate holistic models of human environment relations. Tri Hita Karana (THK), a foundational Balinese philosophical framework emphasizing harmony among humans, nature, and the divine, has increasingly been invoked in discussions of sustainability; however, empirical and conceptual examinations of how THK can inform contemporary environmental ethics remain limited. Purpose. This study aims to analyze THK as a philosophical foundation for sustainable practices by exploring its metaphysical assumptions, socio-cultural manifestations, and potential integration into modern sustainability paradigms.   Method. The research employs a qualitative hermeneutic design, combining textual analysis of Balinese lontar manuscripts, ethnographic documentation, and thematic synthesis of secondary environmental studies. Results. The findings reveal that THK offers a distinctive triadic model of relational ethics parahyangan (divine harmony), pawongan (social harmony), and palemahan (ecological harmony) that collectively provide normative guidance for sustainable living and resource management. These principles demonstrate compatibility with contemporary ecological frameworks while offering culturally grounded motivations for environmental stewardship. Conclusion. The study concludes that the THK philosophy constitutes a viable ethical foundation for sustainable development, supporting integrative approaches that blend spiritual values, communal responsibility, and ecological awareness. The philosophical coherence and cultural rootedness of THK suggest strong applicability in policy design, environmental education, and community-based conservation efforts.
ASSESSING THE IMPACT OF ONLINE LEARNING COMMUNITIES ON COLLABORATIVE LEARNING AND KNOWLEDGE SHARING Roni Subhan; Vann Sok; Sokha Dara
Journal International Inspire Education Technology Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v5i2.1249

Abstract

The increasing integration of online learning communities into educational settings has sparked interest in their potential to enhance collaborative learning and knowledge sharing. While these communities are widely recognized for fostering peer interaction and engagement, their specific impact on learning outcomes remains underexplored. This study aims to assess the impact of online learning communities on collaborative learning and knowledge sharing among university students. A mixed-methods approach was employed, combining quantitative surveys to measure collaboration and knowledge sharing, alongside qualitative interviews to capture student experiences. The experimental group, which participated in online learning communities, showed significant improvements in both perceived collaboration and knowledge sharing compared to the control group, which engaged in traditional learning methods. The post-survey results indicated higher levels of interaction, peer support, and knowledge exchange within the experimental group. These findings suggest that online learning communities foster an environment conducive to collaborative learning, enhancing students' engagement and their ability to share knowledge. The study contributes to the growing body of research on online education by providing empirical evidence of the benefits of these communities. Future research should explore the long-term effects of online learning communities and examine how specific platform features can further enhance collaborative learning.
AI-DRIVEN SIMULATION OF DENGUE FEVER OUTBREAKS IN URBAN JAVA BASED ON CLIMATE VARIABILITY AND HUMAN MOBILITY DATA Vann Sok; Sokha Dara; Thabo Mokoena; Rustiyana Rustiyana
Scientechno: Journal of Science and Technology Vol. 4 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i1.2860

Abstract

Dengue fever outbreaks in urban areas of Java, Indonesia, have become a significant public health concern, with increasing frequency due to climate variability and human mobility patterns, where the spread of dengue is influenced by environmental conditions such as temperature and rainfall as well as human movement within urban centers, making an understanding of these factors crucial for effective disease control and prevention. This study aims to simulate and predict dengue fever outbreaks in urban Java using AI-driven models based on climate variability and human mobility data, with the research seeking to identify the key factors that contribute to the transmission dynamics of dengue fever in urban settings and to evaluate the effectiveness of predictive models in managing potential outbreaks. The study employs machine learning techniques, including Random Forest and Artificial Neural Networks, to analyze climate data consisting of temperature, rainfall, and humidity alongside human mobility data collected from mobile phone tracking and demographic information, where the data is processed to create a simulation model of dengue fever transmission that is validated against historical outbreak data. The results show that the AI-driven model successfully simulated dengue fever outbreaks, demonstrating a high correlation between climate conditions, human mobility, and the spread of the disease, and indicating that increased mobility during the rainy season significantly amplified the risk of outbreaks in high-density urban areas. Overall, the findings conclude that AI-driven simulations offer a promising approach to understanding and predicting dengue fever outbreaks in urban Java, and by incorporating climate and mobility data, the model provides valuable insights for early warning systems and targeted public health interventions.
Gamification in Mobile Health Apps: A Quasi-Experimental Study on Adolescent Obesity Prevention Cau Kim Jiu; Ming Kiri; Sokha Dara
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i4.2370

Abstract

Adolescent obesity has become a global public health crisis, demanding effective and engaging intervention strategies. While mobile health (mHealth) apps offer a scalable platform for promoting healthy lifestyles, maintaining long-term engagement among adolescents remains a significant challenge. This study aimed to evaluate the effectiveness of a gamified Health application on promoting positive changes in physical activity, dietary habits, and anthropometric measures among adolescents at risk for obesity, compared to a non-gamified version of the same application. A 12-week, quasi-experimental study was conducted with 150 adolescents (aged 13-16) with a BMI above the 85th percentile. Participants were assigned to either an intervention group (n=75) using a gamified mHealth app featuring points, badges, and leaderboards, or a control group (n=75) using a non-gamified version with identical health content. The intervention group demonstrated significantly greater increases in moderate-to-vigorous physical activity (p < .01) and higher consumption of fruits and vegetables (p < .05) compared to the control group. Furthermore, the gamified app users showed a modest but statistically significant reduction in their BMI z-score (p < .05), a change not observed in the control group. App engagement metrics were also 70% higher in the intervention group. The integration of gamification elements into mHealth applications is a highly effective strategy for preventing obesity in adolescents.
Policy and Practice of Competency-Based Education in Indonesia: Challenges and Prospects for the Future Idam Mustofa; Sokha Dara; Vann S Sok
Journal Emerging Technologies in Education Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i2.2131

Abstract

Background. Competency-Based Education (CBE) has become a pivotal approach in reforming Indonesia's educational landscape to align with global standards and workforce demands. Despite its potential, the implementation of CBE in Indonesia faces numerous challenges ranging from policy inconsistencies to limited institutional readiness. Purpose. This study aims to analyze the current policy framework and practical applications of CBE in Indonesia, identifying key obstacles and exploring potential future directions. Method. Employing a qualitative research design, data were collected through document analysis and semi-structured interviews with policymakers, educators, and curriculum experts. Results. The findings reveal a gap between policy formulation and classroom practices, constrained by insufficient teacher training, inadequate assessment systems, and fragmented coordination among stakeholders. However, the study also highlights emerging opportunities, including increasing political will, technological integration, and regional initiatives to localize CBE models. Conclusion. The research concludes that while CBE in Indonesia remains at a developmental stage, its future prospects are promising, provided that strategic interventions are undertaken to address systemic barriers. Strengthening institutional capacity and fostering cross-sector collaboration are imperative to ensure the sustainability and effectiveness of CBE implementation.
AI-Driven Personalized Learning Paths: Opportunities and Challenges for Inclusive Education Ardi Azhar Nampira; Chak Sothy; Sokha Dara
Journal Emerging Technologies in Education Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i2.3412

Abstract

Background. This study addresses the growing integration of artificial intelligence (AI) in education, particularly its potential to design personalized learning paths that respond to diverse learner needs within inclusive education contexts. Despite increasing adoption, critical questions remain regarding equity, accessibility, and pedagogical effectiveness when AI-driven systems are implemented across heterogeneous student populations Purpose. The primary objective of this research is to examine both the opportunities and challenges associated with AI-driven personalized learning paths in supporting inclusive education. Method. The study employs a mixed-methods approach, combining a systematic literature review with qualitative analysis of selected empirical case studies from primary, secondary, and higher education settings. Data were analyzed thematically to identify patterns related to personalization mechanisms, learner inclusion, ethical considerations, and institutional readiness. Results. The findings indicate that AI-driven personalization can enhance learner engagement, adaptive pacing, and differentiated instruction, particularly for students with diverse abilities and learning profiles. However, significant challenges persist, including algorithmic bias, data privacy concerns, unequal access to digital infrastructure, and limited teacher capacity to critically mediate AI-supported learning. Conclusion. The study concludes that while AI-driven personalized learning paths hold substantial promise for advancing inclusive education, their effectiveness depends on transparent algorithm design, strong ethical governance, and sustained professional development for educators to ensure technology serves pedagogical and social inclusion goals rather than exacerbating existing inequalities.
Cognitive Load Theory: Implications for Instructional Design in Digital Classrooms Rudy Surbakti; Satria Evans Umboh; Ming Pong; Sokha Dara
International Journal of Educational Narratives Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i6.1659

Abstract

The rapid integration of digital tools in education has transformed classroom environments, creating new opportunities and challenges for instructional design. One key area of focus is the management of cognitive load, which refers to the mental effort required to process information during learning. Cognitive Load Theory (CLT) offers insights into how instructional materials can be optimized to improve learning outcomes. In digital classrooms, the effective design of instructional content becomes even more critical due to the increased multimedia elements and potential for cognitive overload. This study aims to explore the implications of Cognitive Load Theory (CLT) for instructional design in digital classrooms. It examines how digital tools, such as multimedia content and interactive activities, impact learners’ cognitive load and suggests strategies for reducing extraneous cognitive load to enhance learning efficiency and effectiveness. A mixed-methods approach was used, combining quantitative surveys to assess students’ cognitive load during digital learning activities and qualitative interviews with instructors to understand their perspectives on instructional design challenges. The study was conducted across several digital learning environments in higher education. The findings indicate that digital learning environments often lead to high cognitive load, particularly when multimedia content is poorly integrated. However, using principles from CLT, such as segmenting information and reducing unnecessary complexity, can significantly lower cognitive load and improve student learning outcomes. Both students and instructors reported that well-designed digital content led to better engagement and more efficient learning. The study concludes that applying Cognitive Load Theory to instructional design in digital classrooms can enhance learning by minimizing cognitive overload. Educators should be mindful of cognitive load when creating digital learning experiences to improve student performance and engagement.