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p-Index From 2021 - 2026
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All Journal Journal of Moeslim Research Technik Research of Scientia Naturalis Journal Emerging Technologies in Education
Liam Wilson
Australian National University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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SMART MOSQUE: AN IOT-BASED CONTROL SYSTEM FOR MANAGING ENERGY CONSUMPTION AND FACILITY OPERATIONS Titiek Deasy Saptaryani; Syafiq Amir; Liam Wilson
Journal of Moeslim Research Technik Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i6.2716

Abstract

Public and religious facilities, like mosques, often suffer from substantial energy waste due to large physical footprints, manual control, and highly intermittent, non-linear occupancy patterns. This chronic inefficiency results in high utility bills, diverting scarce community funds away from core charitable and social welfare missions, underscoring the necessity for advanced, cost-effective automation. This study aims to design and empirically validate the “Smart Mosque Architecture,” an integrated Internet of Things (IoT) system utilizing a novel Dynamic Prayer Time-Based Control Algorithm (DPT-BCA) to proactively optimize energy consumption across lighting and HVAC systems. A quantitative, quasi-experimental time-series analysis was conducted over a six-month experimental period, comparing the system’s performance against a four-month manual control baseline. The custom low-cost system achieved a statistically significant average monthly energy reduction of 30.0% (p < 0.001), driven primarily by a 47.4% reduction in HVAC runtime. Financial analysis confirmed the system’s economic viability, yielding a simple Return on Investment (ROI) in just eighteen months. The Smart Mosque Architecture is a robust and superior predictive control solution for religious facilities. The DPT-BCA successfully maximizes energy efficiency and service quality, establishing a scalable, ethical blueprint for sustainable institutional facility management worldwide.
ARTIFICIAL INTELLIGENCE DRIVEN PREDICTIVE ANALYTICS FOR SUSTAINABLE WATER RESOURCE MANAGEMENT IN RAPIDLY URBANIZING REGIONS ACROSS SOUTHEAST ASIA Luis Santos; Muhammad Firdaus Abduh; Liam Wilson
Research of Scientia Naturalis Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i3.4115

Abstract

Rapid urbanization in Southeast Asia has exerted unprecedented pressure on water resources, leading to inefficiencies, resource depletion, and challenges in maintaining water quality. Conventional water management approaches often struggle to meet dynamic demand patterns and respond to infrastructure constraints, limiting sustainable urban water governance. This study aims to evaluate the role of artificial intelligence-driven predictive analytics in enhancing water resource management by forecasting demand, detecting system vulnerabilities, and optimizing allocation strategies in rapidly growing urban regions. A mixed-methods research design was employed, integrating quantitative hydrological and consumption datasets with real-time sensor data, machine learning-based predictive modeling, and qualitative expert insights. Data were analyzed through scenario-based simulations, regression analysis, and cross-validation to assess predictive performance and operational effectiveness. Results indicate that AI-enabled predictive analytics significantly reduces non-revenue water from 32% to 19%, improves reservoir stability from 68% to 81%, enhances water quality indices from 74 to 88, and increases leakage detection from 45% to 78%. Case studies demonstrate the practical applicability of predictive alerts in proactive infrastructure management and resource optimization. The study concludes that AI-driven predictive analytics provides a transformative tool for sustainable urban water governance, enabling proactive, efficient, and adaptive management strategies in complex urban environments.
Impact of Educational Technology on Student Well-being: An Australian Perspective Ruby King; Liam Wilson; Fathi Ben Slama
Journal Emerging Technologies in Education Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i1.2109

Abstract

Background. The integration of educational technology (EdTech) into Australian classrooms has accelerated over the past decade, especially in response to remote and blended learning demands. While EdTech has enhanced access, flexibility, and engagement in learning, growing concerns have emerged about its potential effects on student well-being. Purpose. This study investigates the multifaceted impact of educational technology on the psychological, emotional, and social well-being of secondary students in Australia. The research aims to assess both the benefits and risks associated with EdTech use, considering variables such as screen time, digital workload, connectivity, and social interaction. Method. A mixed-methods approach was employed, combining survey responses from 412 students across five states with in-depth interviews involving educators and school counselors. Results. The findings reveal a dual impact: while many students reported increased autonomy, engagement, and digital literacy, a significant proportion experienced digital fatigue, stress, and reduced peer interaction. The results also underscore the importance of digital balance and school-level support systems in mitigating negative outcomes. Conclusion. The study concludes that educational technology, when implemented thoughtfully and inclusively, can support student well-being but must be guided by holistic strategies that prioritize mental health and social connection alongside academic goals.
Co-Authors Fathi Ben Slama Luis Santos Muhammad Firdaus Abduh Ruby King Syafiq Amir Titiek Deasy Saptaryani