Article Per Year (5 Year)
p-Index From 2021 - 2026
3.082
P-Index
This Author published in this journals
All Journal ROTOR: JURNAL ILMIAH TEKNIK MESIN Jurnal METTEK (Jurnal Ilmiah Nasional Dalam Bidang Ilmu Teknik Mesin) Info-Teknik Journal of Energy, Mechanical, Material and Manufacturing Engineering Rang Teknik Journal Conference on Innovation and Application of Science and Technology (CIASTECH) JOURNAL OF SCIENCE AND APPLIED ENGINEERING Infotekmesin International Journal of Marine Engineering Innovation and Research Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Rekayasa Energi dan Mekanika ARMATUR : Artikel Teknik Mesin dan Manufaktur Jurnal Pengabdian Kepada Masyarakat METAL : Jurnal Sistem Mekanik dan Termal Jurnal Teknik Mesin Sinergi Jurnal Teknologi Jurnal Ilmiah Fakultas Sains dan Teknik Universitas Nusa Cendana Jurnal Teknik Ilmu dan Aplikasi Jurnal Polimesin Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Yuniarto Agus Winoko
Jurusan Teknik Mesin Politeknik Negeri Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
Effect Of Napthalene Mixture with Gasoline Fuel on Gasoline Engine Performance Yuniarto Agus Winoko; Afifur Rohman
International Journal of Marine Engineering Innovation and Research Vol. 8 No. 4 (2023)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i4.5093

Abstract

Naphthalene is a chemical hydrocarbon compound with the chemical formula C10H16O. Napthalene is a simple polycyclic aromatic hydrocarbon compound, in the form of a white crystalline solid with a characteristic odor and detectable by the sense of smell at concentrations as low as 0.08 ppm. As an aromatic compound, napthalene's structure consists of a pair of linked arene groups or benzene rings. Objective: To determine the ratio of the power produced by a gasoline engine using a mixture of naphthalene with 90 fuel compared to the use of pure fuel in the engine. Knowing the effect of exhaust emissions produced by gasoline engines using 90 octane fuel, with a mixture of naphthalene and without a mixture of naphthalene. The method used in this study was experimental, tested only with pertalite fuel, Pertamax and added camphor (Napthalene) consisting of 5gr, 10gr, 15gr with 2lt volume of 90 octane fuel fuel. The conclusion is expected that the addition of napthalene has an effect on power and exhaust emissions.
The Effect of a Mixture of Bioethanol with Octane 92 Fuel on Gasoline Engine Vibration Yuniarto Agus Winoko; Hersanda Aditya Pangestu
International Journal of Marine Engineering Innovation and Research Vol. 8 No. 3 (2023)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i3.5110

Abstract

Along with technological developments, the system in vehicle engines is also experiencing developments, with the technology embedded in vehicle engines it is hoped that vehicles can become more efficient, powerful, produce low emissions, even vibration and sound produced is very small. This also needs to be supported by using the right fuel. Bioethanol is an alternative fuel made from vegetable and can produce complete combustion. The data collection method is by recording the proportion of the bioethanol mixture with 92 octane fuel and changes in engine speed, when vibrations occur, the LCD vibration meter will display the vibration value. Engine speed starts from 1500 to 8500rpm with a change of 1000rpm each rotation. From the tests carried out, at engine speed of 1500 to 2500 rpm the 5% mixture is a good mixture because the vibration value is lower than before mixing. Then for engine speed of 3500 to 8500 rpm a 10% mixture is a good mixture because the vibration value is lower than before mixing and lower than other mixtures.
Pengaruh Jenis Sensor Water Level dan Variasi Tegangan Terhadap Ketinggian Air Pada Tangki Bensin Berbasis Arduino Yuniarto Agus Winoko; Moch Riduwan
ARMATUR : Artikel Teknik Mesin & Manufaktur Vol. 7 No. 2 (2026): Jurnal Armatur (in Progress)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/armatur.v7i2.11463

Abstract

Cases of vehicle tank leaks throughout 2024-2025 amounted to 23,500 units. The cause of vehicle tank leaks is water vapor (condensation) because the empty space in the tank contains air. Water Level Sensor is a sensor used to detect and measure water levels. The way the Water Level Sensor works by utilizing an open conductor path that is connected when in contact with water, the Water Level Sensor used is HW 37 and HW 38. The purpose of this study is to determine the effect of the type of Water Level Sensor HW 37 and HW 38, variations in working voltage of 3V and 5V and to compare the percentage error value of water level measurements of 5, 10, 15 and 20 mm. The test method uses experiments presented in the form of tables and graphs. The independent variables are the type of sensor and voltage. The dependent variables are the accuracy of water level measurements of 5, 10, 15, and 20 mm. The test results of the Water Level Sensor HW 37 with the best accuracy occurred at a voltage of 5V with a percentage error value of 0.35%, while the Water Level Sensor HW 3 with the best accuracy occurred at a voltage of 5V with a percentage error value of 0.10%.
The effect of copper thickness in catalytic converters on HC and CO emissions Albaihaqi Hilmi; Yuniarto Agus Winoko
Jurnal Polimesin Vol 23, No 6 (2025): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i6.6241

Abstract

Advances in transportation technology has significantly increases human mobility and supported economic growth, however it has also led to a rise in harmful exhaust emissions, which adversely affect air quality and contribute to climate change. To address this, it is essential to minimize exhaust emissions, one effective method being the use of catalytic converters. This study aims to investigate the effect of copper thickness, specifically variations of 0.2 mm, 0.5 mm and 0.7 mm as the basic material of catalytic converters. Experimental research using Honda Vario 125 motorized vehicles operating on Pertalite fuel, with emissions measured at varying engine speeds from 1500 rpm to 7000 rpm. The QROTECH QRO 401 gas analyzer was utilized to assess HC and CO exhaust emissions. The results indicate that the thickness of copper used in catalytic converters can effectively reduce CO and HC emissions. Specifically, the sample with a copper thickness of 0.7 mm demonstrated an average CO emission of 0.36% and a standard deviation of 0.0015, while the HC emission produced an average of 112 ppm with a standard deviation of 14.85.
Uji Keandalan Algoritma YOLOv11 Untuk Mendeteksi Rambu Lalu Lintas pada Berbagai Skenario Pencahayaan Yuniarto Agus Winoko; Muhammad Izzul Haqqi
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Failure to identify traffic signs triggers road accidents, demanding autonomous vehicle navigation systems robust against lighting dynamics. Addressing the lack of objective measurements in previous studies, this research aims to design and evaluate a YOLOv11-based detection system on a miniature autonomous car prototype. The methodology includes hardware design (ESP32, webcam, actuators) and model training using 12,455 augmented images. Performance was evaluated quantitatively via real-time testing under controlled lighting (1–300 Lux) using a lux meter, then analyzed with third-order polynomial regression to prove non-linear correlations. Computationally, the model achieved an mAP@0.5 of 99.43%. Field testing demonstrated high robustness at 1 Lux confidence score (0.77), peaking at 50 Lux (0.87), but dropping drastically at 300 Lux (0.03) due to lens glare. Conclusively, YOLOv11 is highly reliable in normal lighting, but its implementation requires Lateral Overflow Integration Capacitor (LOFIC) optical sensors to overcome extreme overexposure.
Co-Authors Achmad Dhani Audi Pratama Afifur Rohman Ageng Gumelar Wicaksono Agus Setiawan Aji, Supa Kusuma Albaihaqi Hilmi Angga Setiawan Anggit Murdani Bambang Hertomo Bambang Irawan Bambang Sulistiyono Elka Faizal Gabrie Umar Bakti Mulana Gumono Hadi Samsul Hari Rarindo Hersanda Aditya Pangestu Indra Nurzainu Arifin Intan Fadillah Jefri Haris Sudarmanto Khambali Khambali Kris Witono Mira Mira Moch Riduwan Muhammad Izzul Haqqi Nike Nur Farida Nurhadi - Purwoko Rizky Kharisma Azhari Santoso Santoso Sarjiyana Satworo Adiwidodo Subagiyo Subagiyo Sugeng Hadi Susilo Suyanta Suyanta Syahirin Syahirin Theo Aprianto Rantetampang Umi Anis Ro'isatin Umi Anis Ro'isatin Zahratul Jannah AR