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All Journal Enrichment: Journal of Multidisciplinary Research and Development Jurnal Polimesin
Afani, Randy Putra
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Humanities Automotive Engineering Control & Systems Engineering Economics, Econometrics & Finance Engineering Health Professions Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Making a prototype of the Fuel Pump Test Bench with a method of measuring fuel pressure, current and temperature of a microcontroller-based fuel pump Rosadi, Ajib; Satmoko, Ambar Wanto; Afani, Randy Putra
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 2 (2023): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.768 KB) | DOI: 10.55324/enrichment.v1i2.11

Abstract

The object of this research is a vehicle with a fuel injection system and uses a fuel pump to produce pressurized fuel. The fuel pump has decreased performance for some time of use. Decreased performance is characterized by abnormal engine power. But these symptoms can also be caused by other factors such as disturbances in the ignition system, fuel system or air intake system. To obtain the true causative factors by the workshop, a comprehensive examination of related systems is carried out. F the causative actor in the fuel system is the fuel pump, then the action taken by the workshop is replacement. In two-wheeled vehicles, fuel pump replacement is carried out after the fuel pump cannot operate. While four-wheeled vehicles, fuel pump replacement is recommended every 80,000 km. From the average data of Astra workshops that the number of vehicles that replace fuel pumps is 3 to 4 units within one month. Based on the procedure for checking the condition of the Astra vehicle fuel pump, which only measures fuel pressure and the resistance value of the fuel pump coil. The standard fuel pressure value is 2.94 bar and the fuel pump coil resistance value is 0.8 ohms. The measurement of the 2 parameters does not represent the actual condition of the fuel pump, whether the fuel pump can still be used or must be replaced. According to Denton in a book entitled Automobile Electrical and Electronic System Fourth Edition (2012) that the right fuel pump testing method must be with manufacturing standards, namely a flow discharge of 120 liters per hour with pressure conditions of 3 bar, source voltage of 12 volts, coil resistance of 0.8 ohms and maximum current to the coil of 10.5 amperes. As a solution to determine whether the fuel pump can still be used or must be replaced, it is necessary to make a fuel pump test bench with a method of measuring fuel pressure, current and fuel pump temperature. In order for all measurable parameters to be displayed into a conclusion, this tool is made based on microcontrollers. This fuel pump test bench can be used to determine the condition and predict the age of the fuel pump.
Development of a real-time excavator cycle time detection system using YOLO for mining operations: a company case study Abikusna, Setia; Wang, Amadeus Renjiro; Setiawan, Leo; Syuhada, Nur Rofiq; Afani, Randy Putra
Jurnal Polimesin Vol 23, No 3 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i3.6402

Abstract

Productivity in mining operations is highly dependent on the efficiency of heavy equipment such as excavators. Conventional methods for measuring excavator cycle time are often manual and inefficient. This study aims to develop a real-time cycle time detection system using the You Only Look Once (YOLO) object detection algorithm. Video data from excavator operations were annotated to train the YOLO model, which was then integrated into a user-friendly application using OpenCV. The system achieved a mean Average Precision (mAP) of 94.2% and operated at 30 Frames Per Second (FPS), enabling accurate and real-time detection of excavator activities. The system enhanced monitoring efficiency and operational productivity. Its implementation in mining environments demonstrates the potential for automated cycle time analysis to support equipment management, improve safety, and reduce operational delays.
Co-Authors Abikusna, Setia Rosadi, Ajib Satmoko, Ambar Wanto Setiawan, Leo Syuhada, Nur Rofiq Wang, Amadeus Renjiro