cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dwi Sulisworo
Contact Email
sulisworo@iistr.org
Phone
+6281328387777
Journal Mail Official
esl@journal.iistr.org
Editorial Address
Jalan Sugeng Jeroni No. 36 Yogyakarta 55142, Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
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 95 Documents
 6   7   8   9   10 
Advantages and Challenges of VR in Engineering Education Ayu Amanah; Ihwan Ghazali; Handi; Yusrizal; Iwan Setiono
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - 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.002117

Abstract

Virtual reality (VR) technology has the potential to revolutionise engineering education by providing students with immersive and interactive learning experiences not possible with conventional methods. Virtual reality can be used to simulate real-world environments and equipment, teach engineering concepts and principles, and prepare students for industry practices. However, the use of Virtual Reality in engineering education presents challenges, such as the limited availability and expense of VR equipment, the need for technical support and training for faculty and students, and the requirement for the creation and maintenance of Virtual Reality content. This issue was developed based on a narrative review and a literature review. The narrative review was conducted after the author studied and gathered the latest information. To effectively implement VR in engineering education, it is necessary to weigh the advantages and disadvantages of the technology and allocate resources accordingly. The benefit of VR in engineering education is increased accessibility to simulations and hands-on learning experiences, increased student engagement and motivation, the ability to visualize and manipulate 3D objects and concepts in a realistic environment, and the chance to safely test and experiment with equipment and processes. Future use of augmented reality (AR) and mixed reality (MR) technology in engineering education might provide students with even more immersive and interactive learning experiences. The use of Virtual Reality in engineering education has the potential to transform how engineering is taught and learnt by offering students more interesting and interactive learning experiences that better prepare them for success in the field.
Optimization of Concrete Mix Composition Containing Fly Ash and Slag Using a Machine Learning Algorithm for Compressive Strength Prediction Ichwan Hadi Saputra; Eko wahyu Abryandoko; Moh. Nurudduja
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - 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.002300

Abstract

The modern construction industry faces significant challenges in developing sustainable concrete materials while maintaining structural quality requirements. Conventional trial-and-error methods for concrete mix design are time-consuming, costly, and often result in high variability in concrete quality. This study presents an integrated framework that combines machine learning techniques for concrete compressive strength prediction with genetic algorithm optimization to determine optimal mix compositions containing fly ash and blast furnace slag. Two predictive models were developed using the UCI Machine Learning Repository concrete dataset comprising 1,030 samples: Artificial Neural Network (ANN) Ensemble and Support Vector Regression (SVR). The ANN model demonstrated superior performance, achieving R² values ranging from 0.7475 to 0.8372, RMSE values between 6.11 and 7.94 MPa, and classification accuracy of 86.92% for concrete quality categorization across three classes (Class I: <20 MPa, Class II: 20-35 MPa, Class III: >35 MPa). In comparison, the SVR model achieved competitive but slightly lower performance with R² values of 0.7491-0.8378 and classification accuracy of 80.37%. The stability and generalizability of both models were confirmed through five-fold cross-validation. Subsequently, genetic algorithm optimization was applied to determine optimal mix compositions for each quality class while ensuring compliance with Indonesian National Standards (SNI 2847:2019, SNI 2461:2011, and SNI 8297:2016). The optimization process successfully produced concrete mix designs that achieved target compressive strengths of 14.95 MPa for Class I, 27.48 MPa for Class II, and 59.99 MPa for Class III. This framework demonstrates significant potential for developing sustainable concrete with optimal performance while meeting applicable technical standards, thereby contributing to a reduced carbon footprint in the construction industry through strategic utilization of supplementary cementitious materials.
A Systematic Approach to Reducing Compressor Downtime by 95.3% Within Six Months Toward Industry 4.0 Implementation Rahmat; Yudha Witanto; Dimas Suryo Ajitomo; Budi Sunarto; Acim Maulana; Pedro da Silva
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - 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.002151

Abstract

Workshop is one of the sections in the company that is tasked with supporting the productivity process, from Welding fabrication work, motor rewinding, machine tool work, to punch procurement (Mold). Supported by various machines used to support the production process, both for punch repair and fabrication. For this reason, the workshop always tries to provide the best, namely by creating improvements to speed up the process of procuring punches, both lower and upper, as well as master motifs and plain, while the improvements made are making improvements in the Compressor area. Thus, this compressor machine is a vital supporter of the machine's running process and product water usage services to achieve the target results of punch repair in the workshop, the purpose of the research is to add an automatic remote control at the nearest location & can be operated with Wi-Fi, create an auto evaporator cleaning program, install a compressor alarm notification, create an auto drain program for the compressor tube, create a safe compressor room. By implementing several improvements, the results were achieved by reducing downtime by 95.3% to 96.7%. Downtime decreased from 2784 minutes per 3 months to 92 minutes per 3 months. The potential profit was Rp 159.962.422 per year. Therefore, the research results can be applied to all workshop and production machines.
Investigation of Temperature Field Evolution in Pangasius Fillets during Freezing Hoang Thi Nam Huong; Do Huu Hoang
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - 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.002436

Abstract

This study investigates the spatial and temporal evolution of temperature within Pangasius fillets during freezing using a finite element model of two-dimensional nonlinear transient heat conduction with phase change and convective boundary conditions. The model was implemented in ANSYS for a representative fillet cross-section and simulated under an air temperature of −40 °C and air velocity of 10 m/s. Temperature histories at 25 representative nodes were analyzed to characterize local freezing behavior and identify differences between surface and interior regions. The results reveal three characteristic stages: rapid precooling toward 0 °C, a phase-change period dominated by latent heat release, and subsequent sensible cooling after freezing is completed. Surface and corner regions cooled substantially faster than interior locations because of stronger convective heat transfer, while the geometric center exhibited the longest freezing delay. The maximum thermal delay between the corner and center occurred near −3 °C, reaching approximately 800 s, and decreased as the temperature approached the fully frozen state. Below approximately −18 to −20 °C, temperature-time curves exhibited increasingly similar slopes, indicating completion of phase change. These findings demonstrate that temperature-field analysis can support reliable freezing-time prediction and provide a quantitative basis for optimizing operating conditions, energy efficiency, and product quality.
EV Battery Recycling Adoption: Insights from Dealers and Workshops in Yogyakarta, Indonesia Ichsanul Fikri Umar Irawana; Annie Purwani
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - 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.002076

Abstract

The rapid growth of electric vehicles in Indonesia has intensified battery waste management challenges, while the participation of informal repair businesses in battery recycling services remains limited. Existing studies have largely focused on consumers' recycling behavior, providing little understanding of how informal actors develop the intention to provide recycling services. This study develops a TPB-based behavioral framework by incorporating environmental, social, economic, and technological dimensions as contextual determinants of intention. Survey data from informal repair businesses in Yogyakarta were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the environmental and technological dimensions significantly influence intention, whereas the social and economic dimensions do not. Intention, in turn, significantly increases willingness to provide battery recycling services. These findings indicate that the underlying behavioral mechanisms of recycling service providers are driven primarily by environmental awareness and technological readiness. This study contributes by elucidating the mechanisms that shape the intentions of recycling service providers, an underexplored stakeholder group in developing countries, and offers practical suggestions for designing interventions that strengthen battery recycling services through environmental education, the provision of appropriate technology, and clear institutional support to encourage participation.

Page 10 of 10 | Total Record : 95

 6   7   8   9   10 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 02 (2026): In Press - Engineering Science Letter Vol. 5 No. 01 (2026): Engineering Science Letter Vol. 4 No. 03 (2025): Engineering Science Letter Vol. 4 No. 02 (2025): Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter Vol. 3 No. 02 (2024): Engineering Science Letter Vol. 3 No. 01 (2024): Engineering Science Letter Vol. 2 No. 03 (2023): Engineering Science Letter Vol. 2 No. 02 (2023): Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter Vol. 1 No. 02 (2022): Engineering Science Letter Vol. 1 No. 01 (2022): Engineering Science Letter More Issue