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All Journal Jurnal Multidisiplin West Science West Science Interdisciplinary Studies Journal of Moeslim Research Technik Research of Scientia Naturalis Journal of Multidisciplinary Sustainability Asean Pengabdian: Jurnal Abdimas
Sulaiman Sulaiman
Politeknik Negeri Kupang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Physics Social Sciences Other

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IoT Solutions for Energy Efficiency: A Bibliometric Analysis of Environmental Impact and Resource Management Loso Judijanto; Sulaiman Sulaiman; Titik Haryanti
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1516

Abstract

This bibliometric analysis explores the scope and dynamics of Internet of Things (IoT) research with a focus on energy efficiency, environmental impact, and resource management. Using data sourced from Scopus and visualized through VOSviewer, the study maps out the evolution of research themes, highlights interdisciplinary collaboration, and discusses the integration challenges and policy implications of IoT technologies. The analysis identifies a significant shift from foundational technological issues to applications that enhance sustainable development and address global energy demands. Despite challenges such as implementation costs, security concerns, and environmental impacts associated with IoT devices, the potential of IoT in promoting energy efficiency and sustainability is profound. The study also emphasizes the need for robust policies and international cooperation to fully leverage IoT benefits in addressing environmental and energy management challenges. Future research directions are suggested to further explore the integration of IoT with renewable energy sources and to enhance the sustainability of IoT systems.
Peran Pengelolaan Energi, Teknologi Pemantauan Udara, dan Partisipasi Komunitas terhadap Kualitas Lingkungan di Kawasan Industri Jakarta Yana Priyana; Sulaiman Sulaiman; Ade Suhara; Nanny Mayasari; Siti Rahmatia Pratiwi
Jurnal Multidisiplin West Science Vol 3 No 12 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i12.1865

Abstract

Penelitian ini menguji pengaruh manajemen energi, teknologi pemantauan udara, dan partisipasi masyarakat terhadap kualitas lingkungan di kawasan industri Jakarta. Dengan menggunakan desain penelitian kuantitatif, data dikumpulkan dari 60 responden dengan menggunakan kuesioner terstruktur dengan skala Likert 1-5. Data dianalisis menggunakan SPSS versi 26, termasuk statistik deskriptif, korelasi, dan analisis regresi linier berganda. Temuan menunjukkan bahwa manajemen energi memiliki pengaruh positif terkuat terhadap kualitas lingkungan, diikuti oleh teknologi pemantauan udara dan partisipasi masyarakat. Hasil ini menyoroti perlunya strategi terpadu yang menggabungkan pendekatan teknologi, manajerial, dan pendekatan berbasis masyarakat untuk mengatasi tantangan lingkungan. Studi ini memberikan wawasan yang dapat ditindaklanjuti bagi para pembuat kebijakan dan pemangku kepentingan industri untuk meningkatkan keberlanjutan lingkungan dalam konteks industri perkotaan.
OPTIMIZATION OF RENEWABLE ENERGY GRIDS USING COMPUTATIONAL INTELLIGENCE AND HEURISTIC ALGORITHMS FOR RESILIENT AND SUSTAINABLE POWER DISTRIBUTION Sulaiman Sulaiman; Johannes Muller; Oliver Harris
Research of Scientia Naturalis Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i2.4169

Abstract

Rapid expansion of renewable energy resources has increased the operational complexity of modern electricity grids as intermittent generation, distributed energy resources, and dynamic demand challenge conventional optimization methods. This study evaluated the effectiveness of computational intelligence and heuristic algorithms in optimizing renewable energy grids by improving power system resilience, renewable energy utilization, operational efficiency, and adaptive grid management. A mixed-methods sequential explanatory design was applied using 2,400 simulation scenarios across forty benchmark renewable energy distribution systems with varying renewable penetration, battery storage capacities, distributed generation configurations, and demand response conditions. Quantitative analyses included structural equation modeling, hierarchical regression, multivariate analysis, mediation, and moderation analyses, while qualitative evidence from expert interviews, engineering discussions, and technical document reviews was examined through thematic analysis. The findings showed that hybrid computational intelligence algorithms consistently outperformed conventional optimization approaches by enhancing renewable energy utilization, reducing power losses, improving voltage stability, accelerating computational convergence, and strengthening grid resilience. Distributed energy coordination and renewable forecasting further improved optimization performance under uncertain operating conditions. Overall, intelligent optimization represents an adaptive cyber-physical framework integrating renewable generation, energy storage, and demand response into resilient and sustainable electricity distribution systems. The proposed framework provides practical guidance for utility operators, system planners, and policymakers to accelerate reliable renewable energy integration while supporting long-term decarbonization and sustainable power system transformation.
IOT-BASED SOLAR POWER GENERATION SYSTEM DESIGN FOR REAL-TIME MONITORING Farida Arinie; Sulaiman Sulaiman; Usman Tahir; Nurjannah Nurjannah; Ardi Azhar Nampira
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1932

Abstract

The increasing demand for renewable energy sources has led to the growing adoption of solar power systems. However, efficient monitoring of these systems is essential for optimizing performance and maintenance. Integrating Internet of Things (IoT) technology offers potential solutions for real-time monitoring and management of solar power generation. This research aims to design an IoT-based solar power generation system that enables real-time monitoring of energy production, system performance, and environmental conditions. The goal is to enhance the efficiency and reliability of solar energy systems through advanced data analytics. A prototype system was developed using IoT sensors to collect data on solar panel output, temperature, and weather conditions. The system utilized a microcontroller for data processing and transmission to a cloud platform for real-time visualization and analysis. User-friendly dashboards were created to facilitate monitoring and alert users to potential issues. The findings demonstrated that the IoT-based system effectively monitored solar power generation, providing real-time data on energy output and environmental factors. The system achieved an accuracy of 95% in data reporting, allowing for timely interventions to optimize performance. Users reported improved decision-making capabilities based on the insights gained from the monitoring system.  
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.
AN ELECTRICAL ENGINEERING ANALYSIS OF ENERGY-EFFICIENT LIGHTING AND CLIMATE CONTROL SYSTEMS FOR MODERN MOSQUES Luis Santos; Sulaiman Sulaiman; Thi Lan
Journal of Moeslim Research Technik Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i5.2504

Abstract

The increasing demand for energy-efficient solutions in public buildings has led to a growing interest in sustainable technologies for modern mosques. As places of worship with high foot traffic and long operating hours, mosques represent an ideal setting for implementing energy-efficient lighting and climate control systems. However, there is limited research on optimizing energy usage in these religious spaces while maintaining comfort and functionality. This study aims to analyze the energy efficiency of lighting and climate control systems in modern mosques and propose improvements that align with sustainable energy practices. Using an electrical engineering approach, this research employs simulation models and energy consumption data to evaluate current systems in selected mosques. Various energy-efficient technologies, including LED lighting, smart thermostats, and automated climate control systems, are assessed for their potential in reducing energy consumption. The results indicate that integrating energy-efficient lighting and climate control solutions can significantly reduce energy use, with potential savings of up to 40%. The study concludes that adopting these systems not only promotes sustainability but also aligns with the Islamic principles of conservation and stewardship of resources. Recommendations for mosque administrators include investing in smart energy solutions and regular monitoring to optimize energy consumption.
Renewable Energy Solutions in Agricultural Systems: Enhancing Sustainability through Solar and Wind Energy for Farm Operations Sulaiman Sulaiman; Li Na; Zhou Hui
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.v3i3.3793

Abstract

Background. Agricultural systems are increasingly challenged by rising energy costs, greenhouse gas emissions, and dependence on fossil fuels, which undermine environmental sustainability and economic resilience. Renewable energy technologies, particularly solar and wind energy, offer promising alternatives to support farm operations while reducing environmental impacts. Integrating renewable energy into agricultural systems has the potential to enhance sustainability, improve energy efficiency, and strengthen climate resilience in rural areas. Purpose. This study aims to examine the role of solar and wind energy solutions in enhancing the sustainability of agricultural systems. The research focuses on evaluating their effectiveness in supporting farm operations, reducing carbon emissions, and improving economic viability for farmers. Method. A mixed-methods approach was employed, combining quantitative analysis of energy production, cost efficiency, and emission reductions with qualitative case studies from farms adopting solar and wind energy technologies. Data were collected through field measurements, energy audits, farmer surveys, and policy document analysis Results. The findings indicate that farms utilizing solar and wind energy experienced significant reductions in energy costs and carbon emissions, alongside improved energy self-sufficiency. Renewable energy integration also enhanced operational stability, particularly in irrigation, storage, and processing activities. Conclusion. Renewable energy solutions, especially solar and wind power, represent effective strategies for enhancing sustainability in agricultural systems. Their integration supports environmentally responsible farming while contributing to long-term economic and energy resilience.
MULTISCALE MODELING OF FLUID-STRUCTURE INTERACTION IN WIND TURBINE BLADES TO IMPROVE ENERGY CONVERSION EFFICIENCY IN RENEWABLE SYSTEMS Kaito Tanaka; Sulaiman Sulaiman; Lars Jensen
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.v3i3.4211

Abstract

The increasing demand for renewable electricity drives the need to improve wind turbine efficiency under complex aerodynamic and structural conditions. Numerical approaches often separate airflow analysis and structural response, thus reducing the accuracy of predicting aeroelastic behavior. This study aims to analyze the effectiveness of multiscale fluid-structure interaction (FSI) modeling in improving wind turbine blade performance through integrated aerodynamic, structural, and material analysis. Using a mixed-method sequential explanatory design, the study tested 2,800 simulation scenarios on 48 blade configurations under varying wind speeds, turbulence intensities, and composite material properties. Quantitative analysis included multivariate statistics and hierarchical regression, while qualitative thematic analysis was drawn from expert interviews and engineering workshops. Results show that a fully coupled multiscale FSI model consistently outperforms conventional approaches in improving aerodynamic efficiency, computational convergence, structural stability, vibration damping, and fatigue life prediction. Composite material optimization enhanced structural robustness under dynamic conditions. This framework provides practical guidance for designers and engineers to optimize renewable energy conversion through advanced multiphysics simulations.
Community-Based Solar Panel Installation and Maintenance Training for Energy Independence in the Riau Islands Sophie Vermeer; Sulaiman Sulaiman; Anna Bakker
Pengabdian: Jurnal Abdimas Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i4.3260

Abstract

The Riau Islands, like many regions in Indonesia, faces challenges related to energy access and sustainability. Despite efforts to improve energy infrastructure, remote communities continue to struggle with reliable power supply, especially in rural and isolated areas. In response to these challenges, the research explores the potential of community-based solar panel installation and maintenance training as a solution to promote energy independence and sustainability. The study aims to assess the effectiveness of training programs in empowering local communities to independently manage and maintain solar energy systems. Using a mixed-methods approach, the research employed both qualitative and quantitative methods to evaluate the impact of the training. Surveys and interviews were conducted with participants from selected communities in the Riau Islands to measure knowledge acquisition, skill development, and the sustainability of the solar panels installed. The results indicate significant improvements in local capacity to install and maintain solar energy systems, leading to enhanced energy independence and reduced reliance on external sources. The study concludes that community-based solar panel training programs can significantly contribute to energy sustainability in remote regions, empowering local populations to take control of their energy needs. The research underscores the importance of investing in renewable energy education as part of broader efforts to achieve energy independence in Indonesia.
Co-Authors Ade Suhara Anna Bakker Ardi Azhar Nampira Farida Arinie Johannes Muller Kaito Tanaka Lars Jensen Li Na Loso Judijanto Luis Santos Nanny Mayasari Nurjannah Nurjannah Oliver Harris Ravi Dara Siti Rahmatia Pratiwi Sokha Dara Sophie Vermeer Thi Lan Titik Haryanti Usman Tahir Yana Priyana Zhou Hui