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Journal of Moeslim Research Technik
Published by Yayasan Adra Karima Hubbi
ISSN : 30476704     EISSN : 30476690     DOI : 10.70177/technik
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Control & Systems Engineering Electrical & Electronics Engineering Engineering
Journal of Moeslim Research Technik is is a Bimonthly, open-access, peer-reviewed publication that publishes both original research articles and reviews in all fields of Engineering including Civil, Mechanical, Industrial, Electrical, Computer, Chemical, Petroleum, Aerospace, Architectural, etc. It uses an entirely open-access publishing methodology that permits free, open, and universal access to its published information. Scientists are urged to disclose their theoretical and experimental work along with all pertinent methodological information. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 73 Documents
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ALGORITHMIC INTELLIGENCE IN ENGINEERING DESIGN: INTEGRATING MACHINE LEARNING WITH PHYSICAL MODELING Erwis, Fauzi; Fujita, Miku; Suarnatha, I Putu Dody; Wilson, Amanda
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3467

Abstract

Increasing complexity in engineering systems demands design methodologies that balance computational efficiency, predictive accuracy, and physical reliability. Traditional physics-based simulations ensure mechanistic consistency but are computationally expensive, while purely data-driven machine learning models offer speed yet often lack interpretability and physical compliance. Integrating algorithmic intelligence with physical modeling has therefore emerged as a promising paradigm in advanced engineering design. This study aims to develop and evaluate a hybrid framework that integrates machine learning algorithms with governing physical equations to enhance design performance, robustness, and computational efficiency. A mixed-methods computational design was employed using 15,000 high-fidelity simulation datasets across structural, aerodynamic, and thermal engineering cases. Three modeling configurations—physics-based models, data-driven models, and hybrid physics-informed machine learning models—were comparatively analyzed using performance metrics including mean squared error, R², runtime efficiency, robustness testing, and constraint violation indices. Statistical analyses were conducted to determine significance of performance differences. Hybrid models achieved superior balance, reaching R² = 0.97 with significantly reduced runtime compared to physics-based simulations (p < 0.001), while maintaining substantially lower physical constraint violations than purely data-driven models. Sensitivity and uncertainty analyses confirmed enhanced robustness under parameter perturbation. Algorithmic intelligence integrated with physical modeling represents an epistemologically coherent and practically effective approach, advancing engineering design toward trustworthy, efficient, and physically consistent computational frameworks.
SUSTAINABLE INDUSTRIAL ENGINEERING: SYSTEMS OPTIMIZATION UNDER RESOURCE CONSTRAINTS Tan, Marcus; Chan, Rachel; Angga Risdianto, Anauta Lungiding
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3725

Abstract

The increasing pressure to integrate sustainability into industrial practices has led to the need for more efficient systems optimization models that address resource constraints. Traditional optimization models in industrial engineering have focused predominantly on maximizing efficiency and minimizing costs, often overlooking the long-term environmental and social impacts. This research explores the intersection of sustainable development and systems optimization under resource limitations, aiming to develop a comprehensive framework that balances economic, environmental, and social factors in industrial processes. The study employs a mixed-methods approach, combining literature review, case studies from various industrial sectors, and mathematical optimization models. The results demonstrate that the integration of resource constraints into industrial systems significantly improves both operational performance and sustainability outcomes. Industries, particularly in manufacturing and logistics, showed considerable improvements in production efficiency and reductions in energy consumption and material waste. The research concludes that resource-constrained optimization models can lead to more sustainable industrial practices without compromising economic efficiency. The findings provide a valuable contribution to the field of industrial engineering, offering a framework that can be applied across diverse sectors seeking to optimize their systems within the boundaries of available resources. Future studies should extend these models to include more complex industrial sectors and explore long-term sustainability impacts.
INTEGRATED ENGINEERING SYSTEMS THINKING: CROSS-DOMAIN METHODOLOGIES FOR COMPLEX TECHNOLOGICAL CHALLENGES Sumerli, Chevi Herli; Yamamoto, Sota; Suzuki, Sakura
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3726

Abstract

The complexity of modern technological systems requires a shift from isolated engineering disciplines to more integrated approaches. Traditional engineering methodologies often fail to address the interconnected challenges presented by multi-disciplinary problems. Systems thinking, particularly when applied across domains, offers a more holistic framework that can optimize technological solutions by considering the interrelationships between various system components. This research investigates the application of integrated engineering systems thinking to complex technological challenges, emphasizing the value of cross-domain methodologies in improving efficiency, sustainability, and innovation. The study aims to develop a comprehensive framework for applying systems thinking across different engineering domains and to evaluate its effectiveness in real-world scenarios. A mixed-methods approach was employed, combining case studies from diverse sectors such as energy, manufacturing, and infrastructure, with data collected through interviews, surveys, and performance metrics. The findings reveal significant improvements in cost reduction, efficiency enhancement, and sustainability outcomes in organizations employing cross-domain methodologies. The research concludes that integrated engineering systems thinking provides a robust framework for solving complex technological problems, driving both operational performance and sustainable outcomes. Future studies should explore the long-term impacts and institutionalization of cross-domain collaboration in engineering practice.
COST OPTIMIZATION OF JETTY RETROFIT USING VALUE ENGINEERING AND LIFE CYCLE COST ANALYSIS Muhan Iswidyantara, Ato; Jatmiko, Bagus; Marlina, Rina; Faisol, Ahmad
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3750

Abstract

The increasing demand for sustainable infrastructure has led to a focus on cost optimization in retrofit projects, particularly in maritime infrastructure such as jetties. Sustainable development aims to balance economic growth, environmental protection, and social welfare, highlighting the need for efficient resource utilization. Jetty retrofit projects, crucial for port operations, often face high construction and maintenance costs. This study aims to evaluate the effectiveness of Value Engineering (VE) and Life Cycle Cost Analysis (LCCA) in optimizing the costs of jetty retrofit projects while ensuring long-term sustainability. A mixed-method research design was employed, combining quantitative data from questionnaires and statistical analysis with qualitative insights from field observations and interviews. The study found that integrating VE significantly reduced operational costs, particularly through the substitution of conventional energy systems with renewable energy sources such as solar panels. The application of LCCA demonstrated that long-term savings from energy efficiency could offset higher initial investments. The findings show that the use of VE and LCCA together can achieve cost savings of up to 5.21% and enhance financial viability, with a Benefit-Cost Ratio (BCR) of 2.20, Net Present Value (NPV) of IDR 40.40 billion, and an Internal Rate of Return (IRR) of 46.93%. These results underline the financial and environmental feasibility of green retrofit projects. This research contributes to sustainable infrastructure practices by highlighting cost-effective strategies for jetty retrofitting.
GREEN CONCRETE INNOVATION: UTILIZING AGRICULTURAL WASTE ASH IN HIGH-STRENGTH CONTRUCTION MIXES Akhtar, Shazia; Rocha, Thiago; Hui, Zhou
Journal of Moeslim Research Technik Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i4.2352

Abstract

The construction industry is one of the largest contributors to global carbon emissions, primarily due to cement production. As a result, there is an increasing demand for sustainable alternatives that reduce environmental impact while maintaining high-performance standards. This study explores the use of agricultural waste ash, such as rice husk ash, palm oil shell ash, and sugarcane bagasse ash, as a partial replacement for cement in high-strength concrete mixes. The main objective of this research is to investigate the effects of agricultural waste ash on the mechanical properties and environmental sustainability of high-strength concrete. A comprehensive experimental approach was adopted, involving the preparation of concrete mixes with varying percentages of agricultural waste ash (5%, 10%, 15%, and 20%) and standard tests to assess compressive strength, durability, and environmental impact. The results show that incorporating agricultural waste ash improves the compressive strength and durability of high-strength concrete while significantly reducing the carbon footprint. The study concludes that agricultural waste ash is a viable and sustainable alternative to traditional cement, offering both economic and environmental benefits for the construction industry. The research contributes to the growing body of knowledge on green concrete innovations and provides valuable insights for sustainable construction practices.
HUMAN-COMPUTER INTERACTION (HCI) DESIGN FOR DIGITAL QUR’AN APPLICATIONS: A STUDY ON ENHANCING USER EXPERIENCE FOR RECITATION AND STUDY Setia, Lutfiyah Dwi; Hussain, Sara; Scott, James
Journal of Moeslim Research Technik Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i4.2500

Abstract

The increasing popularity of digital Qur'an applications highlights the need for improved human-computer interaction (HCI) design to enhance user experience, particularly for recitation and study. While these applications provide valuable tools for accessing and learning the Qur'an, users often encounter challenges related to usability, navigation, and engagement. Effective HCI design is crucial to ensure that digital platforms are intuitive, user-friendly, and promote an enriching experience for Qur'an recitation and study. This research aims to explore HCI design principles tailored to digital Qur'an applications, with a focus on enhancing accessibility, usability, and user engagement. The study utilizes a mixed-methods approach, including user surveys, expert interviews, and usability testing, to identify key issues in existing applications and propose design improvements. The findings reveal that users value features such as audio controls for recitation, easy navigation, and integration with tafsir (interpretation). Additionally, personalized study modes and accessibility features significantly enhance user engagement. The study concludes that applying HCI design principles to digital Qur'an applications can improve user experience by making recitation and study more accessible, efficient, and engaging. The research offers actionable insights for developers aiming to create more user-centric Qur'an applications.
WATER MANAGEMENT AND CONSERVATION INSPIRED BY PROPHETIC TRADITIONS: AN ENGINEERING MODEL FOR SUSTAINABLE WATER USE Sriwati, Meny; Qudah, Nasser; Koch, Sebastian
Journal of Moeslim Research Technik Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i4.2501

Abstract

Water management and conservation are critical challenges in the modern world, especially in regions facing water scarcity. Prophetic traditions provide valuable insights into sustainable water use, emphasizing conservation, moderation, and respect for natural resources. These traditions have long guided practices that promote efficient water management, which is increasingly relevant in the context of contemporary environmental challenges. This research aims to explore how the principles derived from prophetic traditions can inform engineering models for sustainable water use. The study utilizes a multidisciplinary approach, combining historical insights from Islamic teachings with modern engineering techniques to develop a model for efficient water management and conservation. Through case studies, qualitative analysis, and design simulations, this research evaluates the application of prophetic water conservation methods in modern water systems. The results demonstrate that integrating these practices, such as limiting water wastage, using water-efficient technologies, and promoting communal responsibility, can significantly enhance water conservation efforts in both urban and rural settings. The study concludes that a sustainable water management model inspired by prophetic traditions can effectively address current water scarcity issues while preserving ecological balance and fostering community awareness.
TECHNO-ECONOMIC ANALYSIS OF A COMMUNITY-OWNED RENEWABLE ENERGY COOPERATIVE BASED ON A WAQF (ISLAMIC ENDOWMENT) MODEL Mariam, Siti; Begum, Ayesha; Hendriks, Pieter
Journal of Moeslim Research Technik Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i4.2717

Abstract

The global energy transition requires novel, equitable financing models for decentralized, community-owned renewable energy (CORE) systems, as high-cost conventional capital often renders essential infrastructure projects financially unviable in developing regions. This study aims to develop and validate a bespoke Techno-Economic Model (TEM) that quantifies the structural benefits of integrating a CORE cooperative with the perpetual, non-profit Waqf (Islamic Endowment) financing mechanism. A quantitative approach utilized the TEM to optimize a 25-year microgrid project lifespan, comparing a Waqf-funded scenario (zero cost of capital, 30% mandatory asset preservation fund) against a Conventional Debt Benchmark (CDB) with an 8.5% interest rate. The optimized 250 kWp PV/500 kWh BESS Waqf-CORE system achieved a Levelized Cost of Energy (LCOE) of 0.081/kWh, which is 35.2% lower than the CDB’s LCOE of 0.125/kWh. This cost reduction equated to a 1.83 million capital avoidance over the project’s Net Present Cost (NPC). The Waqf model fundamentally eliminates debt-related overheads and ensures perpetual asset maintenance, proving that patient, ethical capital is structurally superior for long-duration public utility infrastructure. This offers a robust, scalable, and self-sustaining blueprint for achieving energy access and climate resilience in Muslim-majority nations and beyond.
ELECTROCHEMICAL SYSTEMS ENGINEERING: MODELING, CONTROL, AND DEGRADATION ANALYSIS Nakamura, Yui; Wei, Li; Arfan, Arfan
Journal of Moeslim Research Technik Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i1.3341

Abstract

The global transition toward sustainable energy infrastructure relies heavily on the reliability and longevity of electrochemical energy storage systems. However, conventional management strategies often struggle with the highly non-linear dynamics and unobservable internal degradation mechanisms of these devices. This research addresses the critical need for advanced systems engineering by evaluating a physics-based framework for real-time modeling, state-aware control, and non-invasive degradation analysis. The study aims to optimize the balance between operational performance and capacity retention through the implementation of reduced-order Doyle-Fuller-Newman models. Utilizing a multi-physics experimental design, forty lithium-ion cells were subjected to high-rate cycling while monitored by an adaptive observer-based controller. Results demonstrate that the physics-based approach achieves a 75% reduction in state-of-estimation error compared to empirical models, while significantly mitigating internal resistance growth. Furthermore, the “health-aware” control strategy successfully improved capacity retention by 7.2% over 1,000 cycles by preemptively preventing lithium plating thresholds. This research concludes that internal state visibility is a prerequisite for achieving maximum electrochemical utilization. The findings provide a scalable blueprint for the next generation of resilient battery management systems, asserting that the integration of multi-scale physical models into control architectures is essential for securing the future of global energy storage.
ELECTROMECHANICAL SYNERGY: ADVANCED MODELING OF COUPLED ELECTRICAL–MECHANICAL ENERGY SYSTEMS Rusman, Rusman; Lee, Ava; Williams, Sarah
Journal of Moeslim Research Technik Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i1.3375

Abstract

Electromechanical energy systems increasingly underpin modern transportation, industrial automation, and renewable power technologies, yet their behavior is often modeled through simplified decoupled approaches that overlook dynamic interaction between electrical and mechanical domains. This study aims to develop and evaluate an advanced modeling framework that explicitly represents electromechanical synergy as a bidirectional and nonlinear energy exchange process. The research employs a quantitative, model-driven methodology integrating electromagnetic equations, mechanical dynamics, and coupling coefficients within a unified simulation environment. Representative electromechanical systems are analyzed under steady-state and transient operating conditions to assess model accuracy and system behavior. The results demonstrate that coupled modeling significantly improves predictive accuracy for torque response, angular velocity, vibration behavior, and system stability compared to conventional decoupled models. The findings also reveal that coupling effects intensify during transient excitation and load variation, confirming the central role of interaction dynamics in system performance. The study concludes that electromechanical systems should be treated as integrated energy structures rather than isolated subsystems. Advanced coupled modeling provides a robust analytical foundation for design optimization, control development, and reliability assessment in complex energy systems. These contributions support future interdisciplinary research and facilitate practical implementation across emerging electromechanical applications worldwide in diverse industrial academic settings.

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