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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 90 Documents
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Study on the Structure of GaN films deposited on MoS2/Sapphire via Plasma-Assisted Molecular Beam Epitaxy Susanto, Iwan; Tsai, Chi-Yu; Nurzal, Nurzal; Purnomo, M Zalu; Ing-Song Yu
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.14

Abstract

The gallium nitride (GaN) films were grown on molybdenum disulfide (MoS2) layers via plasma-assisted molecular beam epitaxy (PA-MBE). The heterostructures of the GaN film were studied using reflection high-energy electron diffraction (RHEED) and HR-XRD. The heterostructures of GaN/MoS2/sapphire were revealed through cross-sectional transmission electron microscopy (TEM). The surface texture of the GaN films was analyzed using FE-SEM. Single-crystal heterostructure GaN films can be obtained on 2D MoS2/c-sapphire. The RHEED demonstrated spot patterns with high intensity showing the single crystal structure constructed in the GaN films. The GaN films on the surface exhibited a hexagonal structure. TEM images taken perpendicular to the surface revealed that, even after 60 minutes of epitaxial growth, the thickness of the GaN films remained consistent at approximately 4 nm. However, the 2D MoS2 layer was not observable in the images due to harm incurred during heteroepitaxial growth. Based on the surface structure, it was found that GaN films were successfully grown on the MoS2 layers using the PA-MBE system.
Electric Vehicle Conversion Study for Sustainable Transport Zainuri, Fuad; Hidayat Tullah, Muhammad; Prasetya, Sonki; Susanto, Iwan; Purnama, Dewin; Subarkah, Rahmat; Ramiati, Tia; Widiyatmoko; Noval, Rahmat
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.15

Abstract

The conversion of conventional motor vehicles to electric vehicles has become a popular choice in an effort to reduce greenhouse gas emissions and air pollution from transportation. Electric vehicle conversion involves replacing a gasoline or diesel engine with an electric motor and a reinstalled battery. In this paper, we cover the basics of electric vehicle conversion, conversion methods, and trial results of converted electric vehicles. We also discuss the benefits and challenges of converting to electric vehicles. Some keywords related to this topic include: electric vehicles, vehicle conversion, electric motors, batteries, sustainable transportation.
Application of AGV in the Production System at the PT. Adhikara Wiyasa Gani Siswoyo, Agus; Wahyu Indrawan, Rodik; Azis Abdillah, Abdul
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.16

Abstract

This study aims to analyze the effectiveness and efficiency of applying AGV in the production system at the PT. Adhikara Wiyasa Gani. AGV is implemented as a means of transporting materials from the warehouse to the production line, as well as returning finished goods to the warehouse. The research method used was data collection through field observations, interviews with workers, and analysis of production data before and after using AGV. The research results show that the use of AGV can increase the effectiveness and efficiency of the production system. The time required for material delivery from the warehouse to the production line and the return of finished goods to the warehouse can be minimized, thereby speeding up production time. In addition, AGV can also reduce production costs by reducing labor costs and minimizing the risk of human error in shipping goods. In conclusion, the application of AGV can have a positive impact on the production system at the PT. Adhikara Wiyasa Gani. However, further research can be conducted to deepen the effectiveness and efficiency of AGV implementation in production systems in general.
Catalytic Graphitization of Biomass as a Potential Method Produce Graphite In The Future : A Review Nuriskasari, Isnanda; Zulfia Syahrial, Anne; Wahyuadi M Soedarsono, Johny
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.17

Abstract

The traditional graphitization process involves the use of non-renewable carbon sources and high temperatures, which are time-consuming and expensive. Biomass has been proposed as an alternative renewable source of carbon, which can be graphitized at lower temperatures using transition metal catalysts. The article highlights successful research on graphitization of various biomass carbon sources, such as coconut coir, whey protein, pine wood sawdust, mangosteen peel, miscanthus grass, and palm kernel shell waste, using metals as a catalyst. The graphitization process using catalysts derived from transition metals has been shown to reduce the graphitization temperature, shorten the graphitization time and improve the physicochemical properties of the resulting graphite material.
Effect of Slope Chute Angle of HAP Magnetic Separator to the Acquisition of Nickel Matte from Undersized Product Resulted by Pierce Smith Converter Machine Indah Ciptasari, Nurhayati; Arya Parande, Egidius; Wahyuadi Soedarsono, Johny; Budi Prasetyo, Agus; Mayangsari, Wahyu; Miftahul Ulum, Reza; Maksum, Ahmad
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.18

Abstract

The prototype of a magnetic separator was initiated and manufactured for handling undersized products of Pierce Smith Converter which has been channeled to a temporary shelter called a matte pond. It was dredged three to four times a year and it’s costly. This expenditure can be minimized by the manufacture of magnetic separators that are used to attract undersized nickel products. The manufacture of this prototype uses a scale of 1:20.000 for the volume of water and nickel matte, while for chute and magnetic drums with a scale of 1:4 from the conditions in the field. This research aims to determine whether magnetic separators are relevant for installation in the nickel processing industry, with the slope angle of the chute and magnetic power as the main parameters. Thus the matte pond can be minimized and undersized products can be directly processed and distributed to consumers. The material used in the manufacture of this prototype is aluminum sheet 1/16 which is rolled for magnetic drums, aluminum sheet 1/8 in for chute, copper wire 0.5 mm and mild steel, lathe for rods and axis, and bending for magnetic holders. The result of this magnetic separator prototype is 24.48% nickel can be attracted.
Penerapan Sistem Otomatis Konversi Minyak Jelantah menjadi Lilin Aromaterapi M Ridlwan, Hasvienda; Adifani, Ahmad; Mufida, Vernida
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.20

Abstract

This research focuses on the development of an automated system for the production of aromatherapy candles using waste cooking oil. The study addresses the challenges faced in small-scale production, including limited capacity, manual processes, and inconsistent product quality. To overcome these challenges, an automated machine is proposed to improve efficiency and productivity. The homogenization process and heating time were identified as critical areas for improvement. A sequential control system was successfully implemented, enabling the conversion of waste cooking oil into aromatherapy candles with a production capacity of 10.5 liters per unit run. The motor control system utilized On-Off control with modified power input to minimize vibration issues, operating the motor at 50-60 RPM. The temperature heater control system employed a PID control method, specifically the Ziegler-Nichols type 2 method, with Kp and Ki values of 247.5 and 1.104, respectively. The chosen PID parameters demonstrated satisfactory performance, including a rise time of 22.95 minutes, maximum overshoot of 2.85%, and a dead time of 510 seconds. The implemented system was controlled using an Arduino controller, ensuring a fast response and stable operation.
Machine Failure Detection using Deep Learning Assagaf, Idrus; Sukandi, Agus; Abdillah, Abdul Azis
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.21

Abstract

This article focuses on the application of deep learning methods for failure prediction. Failure prediction plays a crucial role in various industries to prevent unexpected equipment failures, minimize downtime, and improve maintenance strategies. Deep learning techniques, known for their ability to capture complex patterns and dependencies in data, are explored in this study. The research employs Multi-Layer Perceptron as deep learning architectures. This model is trained on AI4I 2020 Predictive Maintenance data to develop accurate failure prediction models. Data preprocessing involves cleaning, feature engineering, and normalization to ensure the quality and suitability of the data for deep learning models. The dataset is split into training and testing sets for model development and evaluation. Performance evaluation metrics such as accuracy, ROC, and AUC are utilized to assess the models' effectiveness in predicting failures. The experimental results demonstrate the effectiveness of deep learning methods in failure prediction. The models showcase high accuracy and outperform SVM approaches, particularly in capturing intricate patterns and temporal dependencies within the data. The utilization of Multi-Layer Perceptron architecture further enhances the models' ability to capture long-term dependencies. However, challenges such as the availability of diverse and high-quality data, the selection of appropriate architecture and hyperparameters, and the interpretability of deep learning models remain significant considerations. Interpretability remains a challenge due to the inherent complexity and black-box nature of deep learning models. In conclusion, deep learning method offer significant potential for accurate failure prediction. Their ability to capture complex patterns and temporal dependencies makes them well-suited for analyzing operational and sensor data. Future research should focus on addressing challenges related to data quality, interpretability, and model optimization to further enhance the application of deep learning in failure prediction.
Front Cover Vol 01 No 03 2023
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.24

Abstract

Anomaly Response Spectrum of Various Cities in Indonesia Based on SNI 1726:2019 Rosyidah, Anis; Albab, Ulil; Rinawati; Sucita, I Ketut; Latha M. S
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.25

Abstract

Response spectra that happened anomaly is seen after SNI 1726:2012 dan SNI 1726:2019 published, this condition has happened because the value of response spectrum design is SE < SD < SC, SD < SE < SC, or SD < SC < SE, if this in normal condition, the value of response spectrum is SC < SD < SE. With applied methods and procedures found by Kircher & Associates (2015) they adjust the formula SMS & SM1 wished response spectrum becomes normal. In this research, comparing spectrum response, with spectrum response with treatment, and comparing the value SDS dan SD1. From this research, it was found that there was a decrease in seismic loading on hard soil (SC) and an increase in medium soil (SD) and soft soil (SE).
The Effect of 5wt.% and 10wt.% Salacca Frond Fiber Addition on Kevlar and Carbon Fiber Reinforced Epoxy using Vacuum Assisted Resin Transfer Molding (VARTM) Method for Bulletproof Vest Application Garjati, Vina Nanda; Vika Rizkia; Aggraeni, Nur Agnes; Muslimin
Recent in Engineering Science and Technology Vol. 1 No. 03 (2023): RiESTech Volume 01 No. 03 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i03.27

Abstract

Bulletproof vests as self-protection for military personnel are generally made from synthetic fiber-reinforced composites. Kevlar and carbon fiber reinforced composites have been able to withstand bullet penetration rates and have lightweight characteristics, but production costs with synthetic fibers are relatively expensive. The use of substitute materials from natural fiber is very potential, due to the abundance of natural fiber, lightweight, and relatively cheap price. One of the potential natural fibers is fiber from the salacca midrib. This study focused on the effect of adding salacca frond fiber on the composite characteristics of Kevlar fiber and carbon fiber, with SiC and Al2O3 fillers. The manufacture of this composite is carried out by the Vacuum Assisted Resin Transfer Molding (VARTM) method. There are 4 variations of fiber volume fractions and fillers as reinforcement added to this composite. From the results of observations with SEM, the results of the matrix and reinforcement are well bound. The ballistic test results show that all variations of test samples can withstand the bullet rate so that it does not penetrate. The results of mechanical tests show that currently the addition of salacca frond fiber has not significantly improved the mechanical properties of the composite

Page 2 of 9 | Total Record : 90

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