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Iwan Susanto
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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 84 Documents
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Study of the Effect of Volume of Moringa Leaves and Purple Sweet Potato Extracts as a Green Corrosion Inhibitor on the Corrosion of API 5L Steel Metals in 0.2 M HCl Environments Kezia; Pratesa, Yudha; Pertama, Tio Angger; Soedarsono, Johny Wahyuadi
Recent in Engineering Science and Technology Vol. 3 No. 04 (2025): RiESTech Volume 03 No. 04 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v3i04.120

Abstract

This study aimed to investigate the corrosion inhibition mechanism of moringa leaves extract (Moringa oleifera) and purple sweet potato extract (Ipomoea batatas) extract as environmentally friendly inhibitors for low carbon API 5L steel in a 0.2 M HCl solution. Potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) tests were conducted with varying concentrations and combinations of the two inhibitors to evaluate their corrosion inhibition performance. The results indicated that both inhibitors individually function effectively as green corrosion inhibitors. However, their combination did not offer adequate protection for API 5L steel in a 0.2 M HCl environment. FTIR analysis of the inhibitors confirmed the presence of flavonoid compounds in both extracts. Potentiodynamic polarization tests showed that increasing the concentration of moringa leaves extract resulted in a decrease in the corrosion rate and an increase in %IE, with the highest efficiency reaching 73.08%. Similarly, an increase in the volume of purple sweet potato extract also resulted in a reduced corrosion rate, with a maximum inhibition efficiency of 65.31%. However, the combination of both inhibitors led to an increase in the corrosion rate. The results of the EIS test demonstrated that both inhibitors protect the metal by forming a protective film layer on its surface. The adsorption behavior of the inhibitors corresponds to a physical adsorption process and aligns with the Langmuir adsorption isotherm model.
Comparing MLP and 1D-CNN Architectures for Accurate RUL Forecasting in Lithium Batteries Assagaf, Idrus; Sukandi, Agus; Jannus, Parulian; Prasetya, Sonki; Apriana, Asep; Edistria, Ega; Abdillah, Abdul Azis
Recent in Engineering Science and Technology Vol. 3 No. 04 (2025): RiESTech Volume 03 No. 04 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v3i04.127

Abstract

Accurately forecasting the Remaining Useful Life (RUL) of lithium-ion batteries is critical for optimizing battery management and ensuring operational reliability. This study compares the performance of two deep learning architectures—a Multilayer Perceptron (MLP) and a one-dimensional Convolutional Neural Network (1D-CNN)—in predicting RUL using datasets from CALCE batteries B35, B36, and B37. Data preprocessing involved outlier removal, missing value handling, and feature normalization, with key features extracted including Resistance, Constant Voltage Charging Time (CVCT), and Constant Current Charging Time (CCCT). Correlation analyses confirmed strong relationships between these features and RUL. Both models were trained and validated on preprocessed data, and their predictive accuracies were assessed using Root Mean Square Error (RMSE) and coefficient of determination (R2). Results indicated that while both architectures effectively captured battery degradation patterns, the MLP consistently outperformed the 1D-CNN, achieving on average 5% lower RMSE and 1.5% higher R2 across all tested batteries. These findings suggest that simpler fully connected networks may suffice for this forecasting task under the given feature set and preprocessing conditions. This work provides valuable insights into neural network model selection for battery health prognostics, guiding the development of efficient and accurate predictive maintenance strategies.
Front Cover Vol 03 No 04 2025
Recent in Engineering Science and Technology Vol. 3 No. 04 (2025): RiESTech Volume 03 No. 04 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Recent in Engineering Science and Technology (RiESTech), a peer-reviewed quarterly engineering journal, publishes theoretical and experimental high-quality papers to promote engineering and technology's 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 Science and Technology, and their applications. RiESTech is concerned with scientific research on Industrial and Manufacturing Engineering, Mechanical Engineering, Material Science and Nanotechnology, Chemical Engineering, and Bioengineering, Electrical and Electronic Engineering.
Table of Content Vol 03 No 04 2025
Recent in Engineering Science and Technology Vol. 3 No. 04 (2025): RiESTech Volume 03 No. 04 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Recent in Engineering Science and Technology (RiESTech), a peer-reviewed quarterly engineering journal, publishes theoretical and experimental high-quality papers to promote engineering and technology's 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 Science and Technology, and their applications. RiESTech is concerned with scientific research on Industrial and Manufacturing Engineering, Mechanical Engineering, Material Science and Nanotechnology, Chemical Engineering, and Bioengineering, Electrical and Electronic Engineering.

Page 9 of 9 | Total Record : 84

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