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Recent in Engineering Science and Technology
Published by PT Mencerdaskan Bangsa Indonesia
ISSN : 29858321     EISSN : 2985704X     DOI : https://doi.org/10.59511/riestech
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Aims and Scope Recent in Engineering Science and Technology, a peer reviewed quarterly engineering journal, publishes theoretical and experimental high quality papers to promote engineering and technologys theory and practice. In addition to peer reviewed original research papers, the Editorial Board welcomes original research reports, state of the art reviews, and communications in the broadly defined field of recent engineering science and technology. RiESTech covers topics contributing to a better understanding of engineering, material science, computer science, environmental science, and their applications. RiESTech is concerned with scientific research on mechanical and civil engineering, Electrical or Electronics and Computer Engineering, and Metallurgical and Materials Engineering with specific analytical techniques and or computational methods. The scope of RiESTech includes a wide spectrum of subjects namely, industrial and manufacturing engineering, mechanical engineering, material science and nanotechnology, chemical engineering, and bioengineering, electrical and electronic engineering.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 94 Documents
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Measuring Thermal Conductivity and Magnetic Strength Using Low-Cost Sensors Based on an Open-Source Platform Arduino Fadhila, Nazhmi; Takasumiang, Filia Solagratia; Wistikhirana, Hanandira; Dewangga, Yudha; Andareska, Rafi Pradaya; Pramono, Agus Edy; Setiyadi, Iman
Recent in Engineering Science and Technology Vol. 4 No. 2 (2026): Articles in Press
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i2.118

Abstract

The use of low-cost sensors controlled by open-source microcontrollers (Arduino, ESP32) is investigated in this study not only to measure electrical, thermal, and magnetic values ​​but also to investigate intrinsic material properties such as thermal conductivity and magnetic strength. Four sensors are used in this study such as SS49E, MAX6675, ACS712, and HMC5883L. Their performance is evaluated in monitoring a carbon rod subjected to 29.9 V DC current and the measurement results are displayed on a 20x4 I2C LCD and stored in CSV format on an SD Card. The MAX6675 thermocouple sensor shows the most stable and reliable results for surface temperature measurement, which is supported by reference multimeter readings. However, the use of multiple sensors simultaneously reveals interference issues, indicating the need for electrical isolation or signal multiplexing in future designs. This study contributes to the advancement of affordable open-source instrumentation as a viable alternative to commercial measurement tools, emphasizing the shift from raw signal acquisition to meaningful property computation.
Applying Structural Reliability to Risk-Based Inspections of Underwater Crude Oil Pipelines Muhammad Iqbal; Soedarsono, Johny Wahyuadi; Pratama, Gusti Verhan
Recent in Engineering Science and Technology Vol. 4 No. 2 (2026): Articles in Press
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i2.126

Abstract

This study investigates the application of structural reliability methods in risk-based inspections (RBIs) for subsea crude oil pipelines. Given the increasing reliance on submarine pipeline infrastructure in offshore oil and gas operations, maintaining its integrity is critical to operational safety and environmental protection. This study uses inspection data from smart pigging operations carried out in 2020 and 2024 on 28.7 km of 12-inch underwater pipes. Using API RP 581 (2020) and First-Order Second-Moment (FOSM) structural reliability theory, this study quantitatively assesses the probability of failure (PoF) and the consequence of failure (CoF). Results showed active internal corrosion, with pitting corrosion identified as the dominant degradation mechanism. Risk projections from 2024 to 2030 reveal unacceptable levels of risk in 2030 if mitigation strategies are not implemented. Based on the financial impact and business risk thresholds, a tailored inspection and maintenance strategy is proposed. These findings support the optimization of inspection intervals and highlight the importance of corrosion control measures such as routine pigging and inhibitor injections.
A Simple Insight into Convolutional Neural Network Research Using VOSviewer, Python, and Gen-AI Arifin, Samsul; Kurniawan, Ade; Faisal, Muhammad; Putra, Merios Gusan; Tiawan; Hakim, Dani Lukman; Abdillah, Abdul Azis; Wiyanti, Wiwik
Recent in Engineering Science and Technology Vol. 4 No. 2 (2026): Articles in Press
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i2.130

Abstract

This study presents a bibliometric analysis of research trends in Convolutional Neural Networks (CNN) published in 2023. Using the Scopus database, metadata for 2,185 journal articles was extracted based on criteria including open access status, English language, and classification under Computer Science. The research employed a systematic methodology involving data extraction, preprocessing, and network visualization. VOSviewer was used to map co-authorship networks, keyword co-occurrence, and citation patterns, while Python supported advanced data processing, topic modeling, and trend analysis. Keyword analysis highlighted the prominence of terms such as "deep learning," "learning systems," "image classification," and "object detection," indicating the diverse and interdisciplinary applications of CNN technology. The co-authorship network revealed China, India, and the United States as key centers of international research collaboration, demonstrating global engagement in advancing CNN studies. Citation analysis showed a skewed distribution where most publications received between zero and two citations, though some articles garnered significantly higher attention, with citations reaching up to 57 within the same year of publication. This suggests that a few studies have rapidly influenced the field despite the overall low citation count typical of recent papers. By integrating quantitative bibliometric techniques with AI-assisted qualitative insights, this study offers a comprehensive overview of the dynamic and rapidly evolving landscape of CNN research in 2023, guiding future academic and practical endeavors.
Cost and Reliability Optimization of SME-Scale Knock-Down Biomass Pyrolyzers via Value Engineering and Fault Tree Analysis Rudiatama, Mohamad Ramadani; Muhammad Athala Zakwan; Fauzi Khair; Ahmad Maksum
Recent in Engineering Science and Technology Vol. 4 No. 2 (2026): Articles in Press
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i2.131

Abstract

Small and medium enterprises in rural Indonesia are central to local growth yet often lack efficient rice husk waste management, with open burning still prevalent. This study designs an accessible knock-down biomass pyrolyzer for rural and home-scale SMEs by integrating Value Engineering and Fault Tree Analysis. The method combines functional analysis, cost breakdown, targeted simulations, and risk mapping to prioritize high-leverage improvements. The selected design includes load-indicator washers, modular knock-down joints, high-efficiency insulation, and stiffener rings in the condenser. Results indicate a structural failure risk reduction of up to 30 percent, a thermal efficiency gain of 10 to 15 percent, and only a 5.5 percent increase in production cost. Fault Tree Analysis attributes 50 percent of failures to design, 33.3 percent to assembly, and 16.7 percent to materials, while simulations show markedly lower bulging deformation, enhancing operational reliability. The final configuration is robust, quick to assemble, and well suited to rural constraints, enabling safer and more productive valorization of rice husk. The integrated approach offers a practical pathway to strengthen SME competitiveness, improve equipment reliability, and advance circular economy practices in Indonesia.

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