cover
Contact Name
Iwan Susanto
Contact Email
journalriestech@gmail.com
Phone
+6281617778441
Journal Mail Official
journalriestech@gmail.com
Editorial Address
4th Floor Gedung STC Senayan Room 31-34, Jl. Asia Afrika Pintu IX, Jakarta 10270, Indonesia
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
Recent in Engineering Science and Technology
ISSN : 29858321     EISSN : 2985704X     DOI : https://doi.org/10.59511/riestech
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.
Articles 77 Documents
Surface Character of Magnetic Ce-doped TiO2 for Photocatalytic Performance Enhancement Rahmiati, Tia; Chen, Ching-Cheng; Saad, Siti Asmahani; Eko, Nugroho; Apriana, Asep
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.2

Abstract

Using a modified sol-gel method for magnetic photocatalyst, the core shell structure of Ce-doped TiO2@SiO2@ferrite composite nanoparticles (NPs) was created. X-ray diffraction (XRD), Brunauer–Emmit–Teller (BET), and a superconducting quantum interference device (SQUID) were used to examine the physicochemical properties of the products as they were prepared. The ultraviolet-visible spectrometry (UV-vis) was used to measure the catalyst's photocatalytic activity. On the composite NPs' outer shell coating, the anatase phase related to the TiO2 structure was constructed. On the Ce-doped TiO2 layers, a mesoporous structure with uniform pore size was created, resulting in a specific surface area of 111.916 m2g-1. In the meantime, the thin TiO2 coating contained the redox couple of Ce3+ and Ce4+. An external magnetic field can also be used to separate the catalyst's magnetic NPs from the reaction system. In the aqueous solution of methylene blue (MB), the degradation efficiency and product performance were both 50 percentage
Dynotest Design Analysis for Electrical Converted Vehicles Sumarsono, Danardono Agus; Zainuri , Fuad; Hidayat Tullah, Muhammad; Noval, Rahmat; Prasetya, Sonki; Subarkah, Rahmat; Rahmiati, Tia; widi, Widiyatmoko; Ridwan, Muhammad
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.3

Abstract

The study comprises dynotest design and analysis to measure torque and horsepower. Basically, a dynotest carried out by apply certain load to the axle of a combustion motor through the braking mechanism of its crankshaft. Due to the high price of a Dynotest unit in the market, it is relatively difficult for a developing institution to own it on their site. The study target to design a simple and good accurate Dynotest within a reasonable price. The study used a common standard method for design analysis which rely on function and structural approach. Functionally, Dynotest is designed to be used to an ouput of an electical motor. Loading on motor shaft was done by disc brake braking mechanism. Structurally, Dynotest was designed to use rollers. As a main component, its mounting construction is connected to a motor to generate electrical power. Power transmitted from the motor to Dynotest through a center joint shaft, torque measured by load cell while the rotation of shaft itself counted by a digital tachometer. Test result show that electricity was produced from the simple construction and Dynotest functioned well in measuring it. Measurement data of roller support shaft performance showed a motor torque performance curve which are similar with the typical of similar Dynotest. Construction Test done by applying Solid Work software analysis to some components partially on rollers and on the construction assembly as a whole unit
Self-Protection Equipment Detection System in Heavy Weight Workshop of Politeknik Negeri Jakarta Using Artificial Intel-ligence Rezakusuma, Muhammad; Abdillah, Abdul Azis; Liliana, Dewi Yanti; Edistria, Ega; Arifin, Samsul; Muzakki, Zahran
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.4

Abstract

The creating process, how it works and the performance of the detection system using Artificial Intelligence. The development of this innovation contributes to the Heavy Equipment Workshop of the Jakarta State Polytechnic to detect the early potential for work accidents. The methods are device tuning, inputs, training models, performance, trials and outputs. The creating process and how the detection system works using Artificial Intelligence each has 3 steps and accuracy using 3 cameras, namely the internal webcam (1MP), the JETE external webcam (720P) and the Samsung Galaxy A22 mobile phone camera (13MP). The process of making this innovation has 3 steps, namely data input, export, file grouping. There are 3 steps to work, namely open the file, run and output. The result of the accuracy of the internal webcam is very low, the JETE external webcam is better than the internal webcam and the mobile phone camera is better than the JETE external webcam.
BERSAUDARA Robot (Room And Air Cleaner) As a Preven-tion of the Spread of Viruses in Work Areas in Buildings and Isolation Rooms Siswoyo , Agus; Cahyono, Eko Aris; Indrawan, Rodik Wahyu
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.5

Abstract

BERSAUDARA Robot innovation emerged based on health protocols in the new normal era and workers' anxiety about the spread of viruses in buildings. This robot is designed by utilizing the development of robotics technology, Remote Operated Vehicle (ROV), vacuum floor cleaner, and air purifier equipped with UV Sterilizer and HEPA Filter. BERSAUDARA Robot innovation is expected to fulfill the protocol for preventing the spread of the Covid-19 virus, especially work areas in buildings or isolation rooms, by cleaning floors and air regularly so as to minimize human contact and support the continuity of the activities of workers during the "New Normal".
Machine Predictive Maintenance by Using Support Vector Machines Assagaf , Idrus; Sukandi, Agus; Abdillah, Abdul Azis; Arifin, Samsul; Ga, Jonri Lomi
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.6

Abstract

Predictive Maintenance (PdM) is an adoptable worth strategy when we deal with the maintenance business, due to a necessity of minimizing stop time into a minimum and reduce expenses.  Recently, the research of PdM is now begin in utilizing the artificial intelligence by using the machine data itself and sensors. Data collected then analyzed and modelled so that the decision can be made for the near and next future. One of the popular artificial intelligences in handling such classification problem is Support Vector Machines (SVM). The purpose of the study is to detect machine failure by using the SVM model. The study is using database approach from the model of Machine Learning. The data collection comes from the sensors installed on the machine itself, so that it can predict the failure of machine function. The study also to test the performance and seek for the best parameter value for building a detection model of machine predictive maintenance The result shows based on dataset AI4I 2020 Predictive Maintenance, SVM is able to detect machine failure with the accuracy of 80%.
Front Cover Vol 01 No 01 2023 Editorial Team
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

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Abstract

Table of Content Vol 01 No 01 2023 Editorial Team
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

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Abstract

Front Cover Vol 01 No 02 2023
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.v1i02.11

Abstract

Table of Content Vol 01 No 02 2023
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.v1i02.12

Abstract

The Modification of the Runner and Ingate Geometry to eliminate Misrun Defects on the Piston using Gravity Die Casting Rizkia, Vika; Fernanda Alvi Yasin, Muhammad; Banowati, Nabila; Noviaty, Veronika
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.v1i02.13

Abstract

Piston is an essential component of an engine because it plays a crucial role in the combustion process that drives the motorcycle. Gravity dies casting has become an ideal method for producing pistons owing to its high-quality product, cost-effective with excellent dimensional accuracy, good surface finish, and performance characteristics. However, misrun defect may occur during metal filling and solidification. This study aims to find the suitable dimensions for motorcycle piston products without the presence of misrun using MAGMASoft. The geometry modification introduced in this research are an ingate area of 176, 264, and 352 mm2 as well as the angle of runner of 60, 160, and 180o. Modifying the ingate area to 264 mm2 and the angle of the runner to 160o eliminated the misrun defect in the piston product. This phenomenon results from the laminar flow, higher temperature, and quicker flow velocity of the molten metal as it fills the window (the thinnest part of the piston).