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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 56 Documents
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AI-Driven Predictive Maintenance for Smart Manufacturing Systems: A Case Study Using Deep Learning on Sensor Data Nampira, Ardi Azhar; Pangastuti, Nova; Wiwit; Taufik, Taufik
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.v2i3.2345

Abstract

The rapid advancement of Industry 4.0 has catalyzed the integration of artificial intelligence (AI) into smart manufacturing, with predictive maintenance emerging as a crucial application to reduce downtime and optimize operational efficiency. This study aims to develop and evaluate a deep learning-based predictive maintenance model by leveraging real-time sensor data from a smart factory environment. A convolutional neural network (CNN) architecture was implemented to detect anomalies and predict machinery failures in advance. The dataset, consisting of multivariate time-series signals from industrial sensors, was preprocessed and used to train, validate, and test the model’s predictive performance. Results indicate that the proposed deep learning model achieved a prediction accuracy of 94.6%, outperforming traditional statistical and machine learning methods in both precision and recall. The implementation of this AI-driven system enables proactive maintenance strategies, minimizing production losses and extending equipment lifespan. In conclusion, the research demonstrates the feasibility and effectiveness of deep learning in predictive maintenance applications for smart manufacturing systems and offers a scalable solution adaptable to diverse industrial settings.  
Automated Detection of Road Surface Defects Using UAVs and Convolutional Neural Networks Zahir, Roya; Khan, Jamil; Xiang, Yang; Shofiah, Siti
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.v2i3.2349

Abstract

This study presents a novel approach to the automated detection of road surface defects using Unmanned Aerial Vehicles (UAVs) and advanced image processing. The research background highlights the critical need for efficient and safe road infrastructure maintenance. Traditional methods, which rely on manual visual inspections, are often time-consuming, expensive, and expose inspectors to traffic risks. The primary objective is to design and validate an automated system for identifying and classifying various road surface defects, such as potholes, cracks, and rutting. The system aims to leverage aerial imagery captured by UAVs and process it with a Convolutional Neural Network (CNN). The research seeks to demonstrate a solution that is faster, more accurate, and safer than manual inspection methods, paving the way for proactive road maintenance. The research methodology involves three key stages: data acquisition, model development, and validation. High-resolution images of various road defects are captured using a UAV. These images are then used to train a custom-designed CNN model. The model is trained to recognize and classify different types of defects with high precision. The results indicate that the combination of UAVs and CNNs is a robust and effective solution for road monitoring. The conclusion is that this automated system provides a scalable, safe, and highly accurate method for road surface defect detection.  
Biodegradable Smart Packaging Materials in Halal Food Logistics: A Review of Engineering Innovations Astuti, Suhartin Dewi; Lee, Ava; Tan, Marcus
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.v2i4.2350

Abstract

The integrity of the halal food supply chain is paramount, yet it faces significant challenges from potential cross-contamination and environmental concerns associated with conventional packaging. This review examines the critical engineering innovations at this intersection, focusing on materials and systems that ensure both halal compliance and ecological responsibility. The objective is to identify key technologies, assess their compatibility with halal principles, and highlight their potential to improve supply chain integrity and sustainability. A systematic literature review was conducted using major scientific databases, including Scopus, Web of Science, and Google Scholar. The selected literature was analyzed to identify material compositions, sensor mechanisms, and their functional applications in maintaining halal integrity. The review identifies several promising innovations, including the development of biopolymer-based films (e.g., PLA, starch, chitosan) integrated with pH-sensitive and microbial spoilage indicators. These smart systems can provide real-time monitoring of food freshness and detect potential non-halal contaminants, such as ethanol or porcine derivatives, without direct contact. The findings show a strong trend towards non-invasive sensor technologies that align with the principles of tayyib (wholesome and pure). Engineering innovations in biodegradable smart packaging offer a robust solution for enhancing the security and sustainability of halal food logistics.  
Machine Vision for Quality Control in Halal Food Production: A Deep Learning Approach A, Chevy Herli Sumerli; Farah, Rina; Nizam, Zain
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.v2i3.2351

Abstract

Ensuring the quality and integrity of halal food products has become increasingly important with the growth of the global halal food industry. Conventional quality control methods, which rely on manual inspection and laboratory testing, are often time-consuming, subjective, and prone to human error. This study aims to develop and evaluate a machine vision system powered by deep learning algorithms to automate quality control processes in halal food production. A convolutional neural network (CNN)-based framework was implemented to classify and detect defects, contamination, and non-halal elements in food products. The system was trained using a dataset of 12,500 labeled images collected from halal-certified production facilities, with data augmentation applied to improve model generalization. Performance metrics, including accuracy, precision, recall, and F1-score, were used to evaluate the system. The results demonstrate that the proposed deep learning model achieved 96.8% classification accuracy, with high precision (95.5%) and recall (97.2%), significantly outperforming conventional machine vision techniques. The findings indicate that deep learning-driven machine vision can provide fast, reliable, and scalable quality control, supporting compliance with halal standards while reducing operational costs. This research highlights the potential of artificial intelligence to modernize quality assurance systems in halal food industries.  
Design and Thermal Performance of Modular Islamic Architecture Using Local Climate-Responsive Materials Sulaiman, Sulaiman; Dara, Sokha; Dara, Ravi
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.
Hybrid Solar-Biomass Systems for Off-Grid Rural Electrification: Techno Economic and Environmental Assessment Nampira, Ardi Azhar; Souza, Felipe; Lima, Rafaela
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.v2i3.2354

Abstract

This study investigates the potential of a hybrid solar-biomass system to provide reliable and sustainable electricity to off-grid rural communities. The research background highlights the critical energy poverty prevalent in many rural areas, which lacks access to a stable power grid. While solar energy is a promising solution, its intermittent nature often limits its reliability. The primary objective is to conduct a comprehensive techno-economic and environmental assessment of a hybrid solar-biomass system. The study aims to design an optimized system configuration that can meet the energy demand of a typical rural village while minimizing the levelized cost of energy (LCOE) and reducing the system’s overall carbon footprint. The research seeks to demonstrate a viable and sustainable alternative to conventional fossil fuel-based generation. The research methodology involves creating a detailed energy model of a hybrid system using specialized software. The model integrates solar photovoltaic (PV) panels, a biomass gasifier, and a battery storage system.. The research findings demonstrate that the hybrid system is a technically and economically feasible solution for rural electrification. The optimized configuration achieved a low LCOE of $0.25/kWh, which is competitive with diesel-based generators. The environmental assessment projected a 75% reduction in GHG emissions. The conclusion is that hybrid solar-biomass systems provide a highly effective, cost-efficient, and environmentally sound approach to off-grid rural electrification. to both economic development and climate change mitigation goals.
Sharia-Compliant Civil Engineering: A Study on the Design of Gender-Separate Facilities in Public Transportation Hubs Hayati, Amelia; Oktari, Dian Popi; Lutfie, Mukhtar
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.v2i5.2472

Abstract

The growing demand for infrastructure that aligns with Islamic ethical and social values has encouraged the integration of Sharia-compliant principles into modern civil engineering practices. Public transportation hubs, as shared urban spaces, present unique challenges in maintaining both efficiency and modesty, particularly regarding gender interaction. This study aims to examine the design and implementation of gender-separate facilities in public transportation hubs through a Sharia-compliant civil engineering perspective. The research employs a mixed-methods approach, combining qualitative content analysis of Islamic legal sources (fiqh al-‘imarah and maqasid al-shariah) with quantitative evaluation of design efficiency and user satisfaction from three case studies: Jakarta MRT, Kuala Lumpur Sentral, and Doha Metro. The findings reveal that gender-segregated layouts, when integrated with universal design principles, enhance both comfort and privacy without reducing operational capacity. The study also identifies key design variables—such as spatial zoning, circulation flow, and signage systems—that ensure compliance while maintaining inclusivity. The results emphasize that ethical urban design grounded in Sharia principles can coexist with modern engineering standards, promoting cultural sensitivity, sustainability, and social harmony.
Software Engineering for Zakat Management Platforms: A Study on Transparency, Security, and User Trust Zuraida; Farah, Rina; Yunita, Hilda Dwi
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.v2i6.2499

Abstract

The management of zakat is crucial in Islamic finance, and digital platforms have increasingly been adopted to enhance transparency, security, and trust among users. This study examines the software engineering aspects of zakat management platforms, focusing on these critical dimensions. The research aims to identify key software design considerations that can improve transparency, ensure data security, and foster user trust within digital zakat platforms. A mixed-method approach is used, involving both qualitative interviews with zakat management professionals and quantitative analysis of platform users' perceptions. The findings suggest that clear communication regarding financial transactions, robust data protection measures, and user-friendly interfaces are essential for building trust. Furthermore, implementing blockchain technology was found to significantly enhance transparency and security. The study concludes that for zakat platforms to be successful, they must not only comply with Shariah principles but also integrate advanced technology solutions that align with user expectations for security and transparency. This research provides a comprehensive framework for the development of zakat management platforms that can be adopted by stakeholders in the Islamic finance sector.
Industrial Engineering for Halal Manufacturing Processes: Optimizing Plant Layout to Prevent Cross-Contamination (Najis) Kelibia, Muhammad Umar; Al-Johani, Mona; Harris, Charlotte Harris
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.v2i5.2502

Abstract

The halal industry plays a critical role in global food production, ensuring that products adhere to strict religious guidelines regarding cleanliness and purity. One of the key challenges in halal manufacturing processes is preventing cross-contamination, particularly the contamination of halal products with Najis (impure substances). A crucial aspect of this challenge lies in the design of plant layouts, which must be optimized to reduce the risk of contamination during production. This research aims to investigate how industrial engineering principles can be applied to optimize plant layout in halal manufacturing settings, focusing on preventing cross-contamination. The study employs a combination of simulation modeling and expert consultations to assess current plant layouts and propose improvements. The results show that a well-designed plant layout, incorporating designated areas for halal and non-halal products, along with streamlined workflow patterns, significantly reduces the risk of Najis contamination. Additionally, implementing proper separation of production lines, storage areas, and personnel flow further enhances product safety and compliance with halal standards. The study concludes that optimizing plant layout is an effective strategy for ensuring halal product integrity, and such improvements can be adapted across various manufacturing sectors. These findings provide valuable insights for halal food producers seeking to enhance quality control and prevent contamination
Chemical Engineering for the Production of Halal-Certified Gelatin Alternatives from Plant-Based Sources Windayani, Neneng; Johnson, Michael; Wei, Sun
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.v2i5.2503

Abstract

The demand for halal-certified products is increasing globally, particularly in the food industry, where gelatin—a key ingredient in numerous products—often comes from animal sources, raising concerns for halal dietary compliance. This research focuses on developing plant-based alternatives to gelatin, specifically designed to meet halal certification standards. The primary objective of this study is to explore the chemical engineering processes involved in producing gelatin alternatives from plant-based sources, ensuring they meet the physical, chemical, and sensory properties required for food applications. Using a combination of plant-based polysaccharides, such as agar, carrageenan, and pectin, this study employs extraction, hydrolysis, and gelling techniques to develop suitable alternatives. The research utilizes a systematic approach, including experimental trials, chemical analyses, and sensory evaluations, to assess the functional and sensory qualities of the plant-based gelatin alternatives. Results indicate that certain plant-derived alternatives exhibit comparable gelling, stability, and texture to traditional gelatin, while also adhering to halal certification requirements. The study concludes that plant-based gelatin alternatives offer a promising, sustainable solution for the halal food industry, with potential applications in a wide range of products such as confectionery, dairy, and pharmaceuticals. These findings provide valuable insights into the development of halal-compliant, plant-based food ingredients, contributing to both innovation and sustainability in the food industry.

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