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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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Current Status and Analysis of the Solution of Greening in the Textile Industry in Vietnam Phan, Thanh Nhan; Le, Song Thanh Quynh
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.v4i01.657

Abstract

Textile and garment production is one of the essential industries contributing to creating jobs for millions of workers and providing Vietnam's leading source of GDP revenue. The production process of the textile industry also has many impacts on the economy, society, and the environment, not only in Vietnam but also in most countries around the world. In the textile and Garment industry, freshwater consumption accounts for nearly 4%, and water pollution accounts for about 20% worldwide. According to the Vietnam Textile and Apparel Association, the energy consumption of textiles accounts for up to 8% of the energy consumption compared with the energy of the entire industry. It emits about 5 million tons of CO2 per year. Therefore, solutions to green the textile industry, such as designing and building factories in a green and sustainable direction, lighting solutions, optimal production process systems, using energy-saving equipment, and alternative forms of renewable energy are some of the leading critical factors to reducing energy consumption would be analyzed, evaluated and provided optimal solutions for the goal of greening in the textile industry and progress towards the target of net zero emissions by 2050.
Investigation of the Effect of Turboexpander on NOx Emissions Fayaz, Farheen; Allport, John; Brace, Jordan
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.v4i01.678

Abstract

As climate changes become more severe and the transition towards sustainability goals more important than ever, the need to modify our vehicles and their thermal management systems takes priority. The vast majority of Original Engine Manufacturers might be looking at the electrification of most vehicles, but it is equally important to make sure that our Internal Combustion Engine powered vehicles become more sustainable since most of our heavy transport is powered by ICEs. The biggest disadvantage of an ICE-powered vehicle is its emissions output. The engine emissions regulations have become stringent over the past few years leading to an increased emphasis on NOx reduction techniques. Air Cycle Technology (ACT) has created a novel form of turboexpander which has previously been tested by ACT in race car engines to reduce pre-ignition. This current work being reported has been carried out to prove the useability of the ACT turboexpander in diesel engines to reduce NOx formation by cooling the intake air. The engine used for this study is a 4.4-liter JCB-TCA 74 turbocharged diesel engine. The ACT turboexpander was retrofitted to the JCB engine. During the study performed on the JCB engine, second-stage cooling provided by the turboexpander showed a reduction of approximately 30° C in intake air temperatures. This data was also supported by hand calculations performed using empirical formulas.
A Systematic Review on Industrial 4.0 Readiness for Environmental Sustainability Considering Cultural Influences Semiun, Nasri; Ghazali, Ihwan; Mohamad, Effendi; Tanjung, Tia
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/IISTR.esl.00735

Abstract

 This systematic literature review (SLR) investigates the development of sustainability guidelines tailored for Industry 4.0, emphasizing the influence of cultural factors and the multidimensionality of existing sustainability models. Industry 4.0 represents a pivotal shift in industrial operations, integrating advanced technological innovation with a human-centric focus to achieve sustainability goals. Cultural factors, however, play a crucial role in shaping the success of such initiatives. This research examines how the various dimensions of sustainability models are influenced by cultural considerations and provides a comprehensive analysis of their impact on Industry 4.0 readiness. The findings of the SLR underscore that aligning technology with local cultural values, engaging stakeholders across diverse societal levels, and fostering capacity-building through culturally relevant training and education are vital to enhancing the effectiveness of sustainability practices. The proposed guidelines advocate for incorporating cultural analysis during the early planning phases, developing culturally sensitive communication strategies, formulating adaptable and flexible policies, and promoting international collaboration that respects cultural diversity. This study contributes valuable insights into the dynamic interplay between cultural influences and sustainability within the Industry 4.0 framework, emphasizing the importance of culturally responsive strategies for achieving enduring sustainable outcomes.
Detection Method of Concave Defect on Specular Surfaces Based on Swin Transformer Tanaka, Kazumoto
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/IISTR.esl.00743

Abstract

Shallow concave defects on mirrored surfaces are difficult to detect automatically. This paper proposes a defect detection method using a deep neural network (DNN) that learns the presence or absence of distortion in the image of a stripe pattern reflected on a mirror surface. The Swin Transformer is used as the DNN to capture global features of the edges of the reflection. In the manufacturing process, the occurrence of defects is minimized, so it is difficult to collect enough defect images for training purposes. Therefore, in this paper, we show how to generate a large number of images of stripe pattern reflections using an optical simulation method. Our Swin Transformer showed high detection performance in defect detection experiments using actual mirrored parts.
Bridge-Crane Hoist Mass Angular Oscillation Ly, Hung; Chau, Than; Nguyen, Huong
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/IISTR.esl.00724

Abstract

The oscillation of hoisting masses in bridge cranes significantly impacts system stability, resulting in adverse effects such as excessive dynamic loads, inaccurate positioning during loading and unloading, and overall instability. Therefore, the angular oscillation of the hoisting mass must be controlled in the design of bridge cranes. This paper presents a mathematical model for the analysis of the angular oscillation of a hoisting load, both during oscillation and trolley movement. The MATLAB/Simulink software was used to simulate the dynamic behavior of the model to gain insights into the oscillation angle and its limitations. The results substantiate the reliability of the proposed model for predicting the angular oscillation of hoisting loads in bridge cranes.
Works Rescheduling in Container Terminals Anh Duy, Nguyen Vu
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/IISTR.esl.00725

Abstract

Container transportation plays a vital role in freight movement, with container yards serving as critical hubs for operations. This paper focuses on the rescheduling of handling equipment in response to unexpected crane failures, which disrupt planned tasks. To address this challenge, a heuristic algorithm is proposed, incorporating the Longest Processing Time and List Scheduling procedures. Two rescheduling strategies are evaluated through numerical experiments. The results indicate that the second strategy outperforms the first in most cases by improving efficiency, albeit with more changes to the initial schedule. The numerical examples demonstrate the effectiveness of the algorithm, achieving feasible rescheduling solutions within less than one second for all tested cases. These findings highlight the algorithm’s efficiency and practicality in real-world container yard operations.
"Where Am I": Characterization of Ultra-Wide Band Real Time Location System in Line of Sight Mat Ali, Mahasan; Shamsuddin, Syamimi; Muhammad, Mohd Nazrin; Sayed Nordin, Sayed Kushairi; Abdullah, Shariman
Engineering Science Letter Vol. 4 No. 02 (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/IISTR.esl.00893

Abstract

Absolute position measurement is a necessity in an Autonomous Indoor Mobile Robot (AiMR) built as to compensate the systematic and non-systematic errors caused by the odometry. This paper is set out to characterize the range bias of DecaWave Trek 1000 in Line of Sight (LOS). DecaWave Trek 1000 is a commercially available Real Time Location System (RTLS) based on Ultra-Wide Band (UWB) technology. The main advantage of using such a system is it provide quick solution with best-in-class accuracy of up to +10 cm. The system also compliant with IEEE802.15.4-2011 standards and implemented based on CMOS technology. To validate its performance, four distinct environment scenarios were selected based on their spatial occupancies to represent both favourable and non-favourable operating conditions. A total of 120,000 positioning data were measured and recorded throughout this study. Firstly, the collected data were compared to the ground truth and subjected to statistical analysis to determine whether environment factors significantly influenced ranging errors. Then the range error the results confirm that while the system performs within its specified accuracy under favourable conditions, the non-favourable condition on the other hand shows a drop of 20% in ranging accuracy. Throughout this extensive characterization, a systematic error model and noise estimation were formulated, providing a critical foundation for integrating UWB RTLS measurements into advanced probabilistic localization framework. Looking forward, the developed characterization function, offers strong potential for fusion with filtering algorithm such as Bayesian filters to enhance indoor navigation reliability for an AiMR application.
Determination of the Thermophysical Properties of Tuna Using the Heat Pulse Method Phong, Ho Thi My; Thy, Lu Thi Mong; Huong, Hoang Thi Nam; Hoang, Do Huu
Engineering Science Letter Vol. 4 No. 02 (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/IISTR.esl.00902

Abstract

Although the tuna industry plays an important role in supporting the economy and local communities, it remains underdeveloped and faces several challenges, according to reports from the Ministry of Industry and Trade and the Vietnam Tuna Association. This study focuses on examining the heat-related physical properties of tuna—specifically, how well it conducts heat (thermal conductivity), how quickly heat spreads through it (thermal diffusivity), and how much heat it can store (specific heat capacity). These properties were measured using the heat pulse method within a temperature range of -15°C to 20°C. The results showed that thermal conductivity ranged from 0.394 to 1.103 W/m·K, thermal diffusivity from 1.11×10⁻⁸ to 2.60×10⁻⁷ m²/s, and specific heat capacity from 3,377.21 to 52,948.54 J/kg·K.
Analysis of Driving and Inhibiting Factors in Used Cooking Oil Management Based on Social and Environmental Responsibility in Catering Businesses Budijati, Siti Mahsanah; Hijrah Tanjung, Muhammad; Ibanga, Isaac John
Engineering Science Letter Vol. 4 No. 02 (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/IISTR.esl.00916

Abstract

The improper disposal of used cooking oil (UCO) poses significant environmental and health risks, particularly when not managed responsibly by food-related businesses. This study aims to identify and analyze the most influential driving and inhibiting factors affecting UCO management in catering businesses, with a particular focus on social and environmental responsibility. The research adopts the Analytic Hierarchy Process (AHP) to systematically assess the priority levels of multiple criteria across 15 catering companies. AHP was chosen due to its strength in structuring complex decision-making problems through pairwise comparisons and eigenvalue analysis. Data were collected using both quantitative questionnaires and qualitative open-ended responses, allowing for a comprehensive understanding of stakeholder perspectives. The results show that among the driving factors, the most dominant is internal policy or management commitment, followed by factors such as enhancing company reputation and increasing profit. Conversely, the top inhibiting factor is the lack of knowledge related to proper oil waste handling, with other significant barriers including high processing costs and insufficient infrastructure. These findings emphasize that managerial awareness, education, and access to resources are crucial for advancing sustainable practices. The study suggests that enhancing knowledge and reinforcing managerial commitment are key strategies to improve oil waste management practices in the catering industry.
RMSProp Optimizer and KAN Method-Based CNN on Rupiah Banknote Classification for Visually Impaired Kurniadi, Dede; Rahmi, Murni Lestari; Balilo Jr, Benedicto B.; Aulawi, Hilmi
Engineering Science Letter Vol. 4 No. 02 (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/IISTR.esl.00936

Abstract

The visually impaired refers to individuals who experience a loss of visual function. Approximately 4 million people, or about 1.5% of Indonesia's total population, are visually impaired. They rely on their sense of touch to recognize banknote denominations in financial transactions. However, damaged banknotes often hinder identification and increase the risk of fraud. Therefore, this study aims to develop a rupiah banknote denomination classification model to assist them in conducting independent transactions. The researchers developed a CNN-KAN model with the RMSProp optimizer using a private dataset comprising 800 images of Rupiah banknotes with denominations of IDR 1,000, IDR 2,000, IDR 5,000, IDR 10,000, IDR 20,000, IDR 50,000, IDR 75,000, and IDR 100,000 from the 2016, 2020, and 2022 emission years. The dataset encompasses variations in image perspectives, lighting conditions, and the physical state of banknotes, including both intact and damaged ones, with up to 30% of the samples comprising damaged banknotes. Data augmentation techniques were implemented to improve data diversity. The dataset was then utilized for training and testing with different split ratios: 50:50, 60:40, 70:30, 80:20, and 90:10. Performance evaluation was conducted using loss, accuracy, precision, recall, and AUC-ROC metrics. Experimental results indicate that the CNN-KAN model with the RMSProp optimizer achieved optimal performance. In the 90:10 data split scenario, the model achieved 100% accuracy, precision, and recall, with an AUC-ROC of 1 and a loss of 0.008. Therefore, the CNN-KAN model with the RMSProp optimizer has been proven effective for implementing Rupiah banknote denomination detection for the visually impaired in an automated system.

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