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All Journal Jurnal Ilmiah Poli Rekayasa Elektron Jurnal Ilmiah JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Engineering MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
- Andrizal
Department Of Electrical Engineering, Politeknik Negeri Padang, West Sumatera, Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories - Andrizal; Rivanol Chadry; Ade Irma Suryani
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1445.107 KB) | DOI: 10.30630/joiv.2.2.50

Abstract

Engine scanner unit is a tool used by mechanical power to know the condition of car engine combustion at the time of tune up process done. The level of elements and compounds that dominant in determining categories of combustion of gasoline fuel car engines through the levels of elements and compounds contained in exhaust emissions are Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2) and Oxygen (O2). Complete combustion category produces maximum power, fuel efficiency and emission levels according to the threshold. This occurs when there is a balance of the amount of fuel, airflow and ignition in the engine combustion chamber. Elements and compounds contained in car exhaust emissions can be detected with sensors that are sensitive to elemental levels and these compounds are HC, CO, CO2, and O2 sensors. This study aims to display the data pattern category of combustion engine through exhaust emissions based on multi sensor detection processed with signal processing system in the form of Fast Fourier Transform (FFT) process. Furthermore, data pattern is performed in accordance with the category of combustion engine detected. The system is designed with embedded system using Field Programable Gate Array (FPGA) myRIO and LabVIEW programming. The results in the test displays the data pattern and the comparison test of the reference data pattern with the data pattern of the detection result. The comparison test result of data pattern similar to 87% complete engine combustion category and similar to incomplete combustion category 90%.
A Portable Device of Air Pollution Measurement Due to Highway Exhaust Emissions Using LabVIEW Programming - Andrizal; - Lifwarda; Anna Yudanur; Rivanol Chadry; - Hendrick
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.697

Abstract

A multisensory gas device integrated with myRIO module to measure air pollution has been established. This device is programmed using the LabVIEW programming language and can measure CO2, CO, NOX, and HC pollution on roads due to motor vehicle exhaust emissions. The device and the display system are made separately using wireless network communication to make this tool portable. Exhaust Gas Analyzer (EGA) was chosen for device calibration, obtaining 3.62% on the average error after performing 30 tests. The tests for measuring CO, CO2, NOX, and HC gas levels were conducted in several locations in Padang City and performed in the morning, afternoon, and evening. The result showed that the system properly measured CO2, CO, NOX and HC pollution in parks and highways in real-time in parts per million (ppm). It also displayed varied gas measurement results in terms of time and test location with a range of CO gas values at 0.034 – 0.15 ppm, CO2 151.3 – 815.2 ppm, NOX 0.0001 – 0.004 ppm, and HC 0.04 – 0.65 ppm. In addition, the system could perform well in providing warnings by automatically activating the air indicator alert at several measurement places when the gas content on one of the gas elements and compounds at a particular location has exceeded the threshold for the clean air category. Thus, this device can be used as initial research to build a real-time air pollution measurement system using the Internet of Things (IoT).
Co-Authors - Hendrick Ade Irma Suryani Anna Yudanur Anton anton Anton Hidayat Aulia Rossalina Dodon Yendri Hersyah, Mohammad Hafiz Humaira, Humaira Junaldi Junaldi Lifwarda Lifwarda Martias Martias Miki Tri Susanto Nadia Alfitri Revinessia Revinessia Rio Aditama Rivanol Chadry Roza Roza Susanti - Rusfandi - - Tuti Anggraini Tuti Azra Yefriadi Yefriadi Yuhefizar Yuhefizar Yul Antonisfia Yultrisna Yultrisna Zulharbi