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Engineering Science Letter
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618924     EISSN : 2961872X     DOI : https://doi.org/10.56741/esl.v1i02
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Engineering Science Letter is an international peer-reviewed letter that welcomes short original research submissions on any branch of engineering, computer science, and technology, as well as their applications in industry, education, health, business, and other fields. Artificial intelligence, image processing, data mining, data science, bioinformatics, computational statistics, electrical engineering, electronics engineering, telecommunications, hardware systems, industrial automation, industrial engineering, fluids and physics engineering, mechanical engineering, chemical engineering, and their applications are among the engineering and computer science topics covered by the journal. All papers submitted will go through a peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 67 Documents
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Analysis and Evaluation of Factors Influencing Student Success with Explainable Artificial Intelligence Models Özkurt, Cem
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.556

Abstract

The research aims to explain socio-economic factors affecting student success using interpretable artificial intelligence models and to promote the use of this technology in the development of educational policies. Initially, existing studies on factors determining student success have been examined. The dataset includes socio-economic and personal variables such as parental education, family economic status, student gender, and study duration. Using interpretable artificial intelligence models like InterpretML, analyses have been conducted on this dataset, and the results obtained from examining factors influencing student success have been evaluated. This study aims to contribute to shaping educational policies more effectively through the use of artificial intelligence.
A Variable Step Size of the LMS Algorithm for System Identification Thai, Nguyen Le; Son, Hoang Hai
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.559

Abstract

The Least Mean Square (LMS) algorithm and adaptive filter techniques have been used in system identification.  However, their effectiveness may degrade due to the learning gain in the LMS algorithm is a constant. In this paper, a variable step-size learning parameter (VSSP) is proposed to improve the performance of the unknown system identification. The proposed algorithm is implemented without any offline learning phase, while faster convergence can be achieved. Moreover, the computational complexities of different methods are compared. Comparative simulation results demonstrate the validity of the proposed method.
2D CFD Simulation on the Aerodynamic Performance Enhancement of H-Darrieus VAWT Utilized with Flaps Yamin, Mohamad; Putra, Andrian; Firmansyah, Riyan
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.564

Abstract

This research aims to enhance the aerodynamic performance of the H-Darrieus Vertical Axis Wind Turbine (VAWT) consisting of 3 main blades with the addition of flaps on each blade. Performance evaluation and geometry optimization are conducted by varying the gap distance between the main blades and flaps and altering the deflection angle of the flaps. A numerical approach using Computational Fluid Dynamics (CFD) is employed to analyze the performance of VAWT turbines and optimize the gap distance between the blades and flaps. NACA 0018 profiles are utilized for the main blades, while NACA 0015 profiles are used for the flaps. A two-dimensional CFD model of the VAWT turbine is analyzed using the Unsteady Reynolds Averaged Navier-Stokes (URANS) method with the k-ω Shear Stress Transport (SST k-ω) turbulence model. Simulations are conducted using ANSYS Fluent software, encompassing turbine models with and without flaps—validation of simulation results for turbines with and without flaps through experimental and numerical approaches. Simulation variations with flaps are carried out by considering the parameter of gap distance between the blades and flaps at various Tip Speed Ratio (TSR) values. The research results indicate an optimal distance between the main blades and flaps at a specific flap deflection angle where the power coefficient reaches its maximum value. Overall, the addition of flaps and deflection angle variations positively contribute to the aerodynamic performance of VAWT turbines.
Autonomous Vehicles: From Technology to Law and Regulation Suhariyanto, Didik; Usman, Ridwan; Marlin, Syamsu; Kurnia, Mega Tri; Firman, La Ode Mohammad; Balogun, Shuaibu Alani; Ghazali, Ihwan
Engineering Science Letter Vol. 3 No. 02 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i02.565

Abstract

The advent of autonomous vehicles marks a convergence of technological advancement, societal change, and regulatory evolution with profound implications. This transformative technology has shifted from science fiction to reality, sparking extensive discourse encompassing technological progress, legal intricacies, and ethical considerations. This scholarly exploration navigates the intricate terrain of autonomous vehicles, tracing their evolution from a technological marvel to a catalyst for profound changes in legal frameworks, regulations, and societal dynamics. Our journey begins by delving into the technological foundations and significant achievements that underpin autonomous vehicle development. This illuminates the complex algorithms, sensor arrays, and machine-learning capabilities driving these self-driving vehicles. Transitioning from technology, we delve into the intricate realm of law and regulation, where established norms of road safety, liability, and privacy intersect with autonomy's transformative potential. This paper scrutinizes the intricate network of legal frameworks and ethical considerations governing the testing, deployment, and daily operation of autonomous cars. With their integration into transportation systems gaining prominence, balancing innovation with regulation assumes critical importance. This study embraces technology, law, and regulation, aiming to understand the multifaceted dimensions arising when autonomous cars intersect with legal and ethical frameworks. We explore the dynamic nature of global regulatory paradigms, analyzing obstacles, achievements, and ethical dilemmas shaping progress. As we embark on this endeavor, our goal is to offer a valuable resource elucidating the intricate process of transitioning from technology to legal frameworks and regulations within the era of autonomous vehicles.
Sustainable and Green Architecture Industrial Technology: Challenges and Future Directions Aryanti, Dwi; Abdullah Ali; Usman, Ridwan; Sri Mumpuni Ngesti Rahaju; Ghazali, Ihwan
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.568

Abstract

Sustainable design plays a pivotal role in addressing environmental and social concerns within the field of architecture. This concept involves the integration of sustainability principles throughout the architectural design process, encompassing social sustainability, sustainable materials and construction methods, and sustainability assessment. Architects can create structures that demonstrate environmental consciousness, optimize resource use, promote social inclusivity, and preserve cultural significance by incorporating these fundamental principles. However, the successful implementation of sustainable architecture faces several challenges. These challenges include limited awareness among professionals, resistance to change in the industry, complexities in integrating sustainability, and budget constraints. Overcoming these hurdles necessitates comprehensive education, government support, adherence to regulations, technology utilization, and economic incentives to encourage the adoption of sustainable design techniques. Despite these challenges, the field of sustainable architecture holds significant potential for further advancement. Opportunities for exploration include integrating emerging technologies like artificial intelligence and machine learning, applying sustainable architectural principles in urban planning, advancing sustainable materials and construction methods, considering social sustainability, and developing comprehensive frameworks for holistic sustainability assessment. By advancing knowledge and innovation in these areas, sustainable architecture can contribute substantially to creating a more sustainable built environment. Architectural professionals, through collaboration, interdisciplinary approaches, and a commitment to long-term sustainability, have the potential to play a crucial role in shaping a sustainable future for urban areas and communities.
Applying Robust Fuzzy-stochastic Programming Model in Multi-objective Optimization for Flow-shop Scheduling with Parallel Machines: a Real-life Case Study in an Engine Component Industrial Dao, Gia Minh; Mai Ha, Phan Thi
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.593

Abstract

Resources scheduling, jobs sequencing, and resources assignment are considered the brain activities that play an extremely important role to the business, such as flow-shop scheduling. Additionally, the internal manufacturing environment and the current market are drastically changing, in which attracted significant attention in scheduling under uncertainties. This research aims to investigate the multi-objective flow-shop scheduling with parallel machines under machine breakdown and operational uncertainty. A novel robust fuzzy stochastic programming (RFSP) model is presented to address the unexpected operational disruptions and the inherent uncertainty of processing time. The objective is to optimize the cost of late delivery and the efficiency of manufacturing evaluated by overall equipment effectiveness (OEE) whilst considering the CO2 emissions produced. Eventually, a proposed algorithm is applied with a real-life scheduling data from a German factory that faces a practical situations in machine breakdowns and operational risks with unrelated parallel machines. Thus, this study intends to provide the computational results and useful information for multiple decision processes.
Assessment of Water and Wastewater Treatment Efficiency in Nigeria Olatunde, Temitayo Samson; Isaiah, Lucky Cole; Obiezude, Melody Amarachi
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.642

Abstract

Water and wastewater treatment are vital in safeguarding public health and environmental sustainability. In Nigeria, various factors influence water and wastewater treatment systems' efficacy, including infrastructure conditions, management practices, and regulatory compliance. This study assesses the efficiency of water and wastewater treatment in Nigeria through a comprehensive evaluation of key parameters such as infrastructure conditions, water quality, treatment efficacy, and management efficiency. Data collected from 35 engineers involved in the water and wastewater sector were analyzed using statistical methods to identify areas for improvement. The quantitative descriptive statistical analysis summarized and interpreted numerical data using central tendency and variability measures. Results indicate significant disparities in infrastructure conditions and management practices, highlighting the need for strategic investment and policy interventions. Recommendations for policymakers include prioritizing infrastructure upgrades and enhancing stakeholder engagement to align with global standards. Future research directions emphasize the importance of longitudinal studies to track the effectiveness of interventions and explore innovative technologies for sustainable water management. Overall, this study provides valuable insights into the current state of water and wastewater treatment in Nigeria and offers actionable recommendations for enhancing efficiency and sustainability in the sector.
Design and Developing of EcoDesk Applying Sustainable Machining Binti Izdihar, Irra Shahidah; Bin Mat Sahrin, Ahmad Izz Shauqie; Bin Nor Affifi, Muhammad Muaz Jabbar; Binti Mohd Shamsul, Nur Arisha Syamira; Ab Wahab, Norfariza; Abu Bakar, Mohd Hadzley
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.634

Abstract

This study aims to develop a customized study desk for children with special needs, specifically targeting primary school students from the B40 economic category in Durian Tunggal, Malaysia. The primary users, children under the age of twelve, require enhanced support and space to facilitate effective learning. The desk design will focus on improving accessibility, comfort, and practicality to accommodate diverse learning requirements, promoting inclusion and an optimal learning environment. The initiative, organized by UTeM, seeks to support financially disadvantaged families by providing affordable, tailored workstations. Additionally, the desk will be portable, ensuring ease of assembly, disassembly, and storage, thereby reducing academic burdens and fostering better student interaction.
Non-thermal Food Processing Technologies for Reducing Microbial Loads Akanni, Sodiq Femi; Oke, Moruf Olanrewaju; Olatunde, Sogo James
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.643

Abstract

This study provides a comprehensive review of non-thermal food processing technologies and their effectiveness in preventing microbial contamination and improving food quality. Non-thermal treatments, including high-pressure processing (HPP), pulsed electric fields (PEF), ultraviolet (UV) irradiation, plasma treatment, and ohmic heating, offer innovative alternatives to traditional thermal methods for microbial control. These technologies leverage mechanisms such as pressure, electrical energy, light, or reactive species to achieve microbial inactivation while preserving sensory attributes and nutritional integrity. Despite their considerable potential, non-thermal treatments face challenges and limitations related to technological complexity, regulatory considerations, cost implications, and efficacy against specific microorganisms or food matrices. Addressing these challenges requires collaboration between industry stakeholders, regulatory agencies, and research institutions to drive innovation, establish regulatory frameworks, and optimize implementation strategies. By overcoming current limitations and harnessing the full potential of non-thermal treatments, the food industry can enhance food safety, quality, and sustainability while meeting consumer demands for safe and minimally processed foods.
Forecasting Model of Shrinkage in Circular Knitted Fabric Using Decision Tree Analysis Le, Song Thanh Quynh; Trinh, Thi Kim Hue; Phan, Thanh Nhan
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v4i01.656

Abstract

Controlling and ensuring product quality are significant in any production department, especially in the textile and clothing industry. Ensuring fabric shrinkage meets customer requirements constitutes a critical factor in evaluating product quality in the knitted fabric production process. However, fabric shrinkage depends on the order‘s specifications, such as loop length, fabric weight, material composition, longitudinal density, and transverse density. This complexity makes it challenging to control and ensure the fabric quality according to customer requirements. This study will describe the characteristics of each specification factor and explore its influence on fabric shrinkage. Finally, data mining techniques develop a forecasting model based on input parameters. The prediction model results will support production managers in estimating and promptly adjusting process parameters to achieve the expected quality levels.

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