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INDONESIA
Jurnal Teknik Mesin
Published by Politeknik Negeri Padang
ISSN : 18298958     EISSN : 26555670     DOI : -
Core Subject : Science, Engineering,
Automotive Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering
Jurnal Teknik Mesin adalah sebuah jurnal peer review yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang teknik mesin.
Arjuna Subject : -
Articles 204 Documents
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Perancangan Kalkulator Elemen Mesin untuk Perencanaan Poros Suryanto, Hendri; Herraprastanti, Eva Hertnacahyani; Wahyusari, Retno; Gunawan, Helmi
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1857

Abstract

To design a transmission shaft requires quite complicated calculations, the calculation time is also quite long and the calculations must be careful because they are done manually, as has been done so far. The calculation results must also be accurate because the size of the shaft that does not meet the requirements can result in failure. To meet these needs, calculations in shaft design can be done with a tool, namely a software application that is run on a computer. The purpose of this study is to produce a software application or machine element calculator for shaft planning using the Matlab GUI, and to increase the efficiency of shaft planning in terms of time. This machine element calculator is designed by selecting the Matlab GUI menus according to the calculation formulas for the torsional load shaft diameter, namely Edit Text, Static Text, Panel and Push Button. Then arrange and edit the GUI menus through the Property Inspector and create a program (Matlab Code) for calculating the shaft diameter through the Callback menu. With this calculator, calculations in transmission shaft planning can be accelerated, which is an average of 24.8 minutes faster than manual calculations, which is an average of 34.8 minutes.
Analisa Pengaruh Penggunaan Oli Pelumas 15W-40 dan 10W-40 Terhadap Performa Mesin Motor Matic 110 CC Mudzakir, M.; Ardian, Dedy Rachman; Sundari, Putri
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1864

Abstract

This study aims to analyze the impact of using lubricating oils with SAE 10W-40 and SAE 15W-40 viscosities on the performance of 110cc automatic motorcycle engines. The tests focus on the effects of both types of oil on engine power, torque, and air-fuel ratio (Air Fuel Ratio/AFR). This research employs an experimental method involving laboratory tests and road tests to obtain accurate data. The viscosity tests show that SAE 10W-40 oil has lower viscosity at low and medium temperatures compared to SAE 15W-40, which has higher viscosity and is more stable at high temperatures. The power and torque tests indicate that SAE 10W-40 oil produces more stable maximum power within the medium RPM range, while SAE 15W-40 has a sharper peak power but within a more limited RPM range. The torque tests also show that SAE 10W-40 performs better in maintaining torque over a longer range. Additionally, AFR analysis indicates that SAE 10W-40 oil approaches the ideal ratio for efficient combustion, while SAE 15W-40 tends to produce a richer mixture at high RPM, which improves performance but reduces fuel efficiency. The results suggest that the selection of oil with the appropriate viscosity significantly affects engine performance, especially in terms of fuel efficiency, power, and torque in a 110cc automatic motorcycle.
Pengaruh Secondary Skin Dengan Variasi Kemiringan Sudut Fasad Terhadap Efisiensi Energi Dan Kenyamanan Termal Ruangan Rinaldi, Irwan; Saputra, Dendi Adi; Rozi, Melda
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1865

Abstract

This study examines the effect of applying secondary skin with varying slope angles on the facade on energy efficiency and indoor thermal comfort. Facades with varying slope angles are designed to respond adaptively to external environmental conditions, such as solar radiation intensity, air temperature, and wind movement, with the aim of minimizing the building's thermal load and improving overall thermal performance. An experimental approach is used to evaluate the effectiveness of secondary skin with varying slopes. The thermal comfort parameters measured include air temperature, relative humidity, lighting intensity, and energy requirements for cooling, all of which are analyzed based on ASHRAE standards. The results of the study indicate that the use of facades with opening slopes of 10°, 20°, and 30° can reduce the room cooling load by 11.05%, 10.95%, and 10.80%, respectively. In addition, there was a decrease in the average Predicted Mean Vote (PMV) value of 0.059 (5.03%) at a slope of 10°, 0.073 (6.29%) at a slope of 20°, and 0.078 (7.20%) at a slope of 30°. These findings indicate that secondary skin with variations in the slope angle of the facade is an innovative and sustainable approach in passive cooling strategies, which contributes to reducing energy consumption.
Analisis Aplikasi System Ai Robotnisasi pada Kualitas Permesinan Mesin CNC di PT Evergrown Technology Batam Kendek, Yohanis Sampe; Palungan, Musa Bondaris; Nitha, Nitha
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1872

Abstract

This study aims to analyze the application of Artificial Intelligence (AI) and robotization systems on the machining quality of CNC machines at PT Evergrown Technology Batam. The research focuses on two primary indicators of machining quality: surface roughness and product cylindricity, which were experimentally measured in a controlled laboratory environment. Additionally, production process efficiency was examined through indicators such as production time, production costs, defect rates, and tool wear. Data were collected from 25 observation units selected through purposive sampling and analyzed using a quantitative approach with the assistance of SPSS version 2.3. The analytical methods employed include descriptive statistics, simple linear regression, one-way ANOVA, and comparative analysis to evaluate pre- and post-implementation conditions of AI and robotization systems. The results indicate that the implementation of AI and robotization has a significant impact on improving machining quality and production efficiency, as evidenced by a significance value of p < 0.05. These findings suggest that integrating AI and automation into production processes is a strategic move for advancing modern manufacturing industries.

Page 21 of 21 | Total Record : 204

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