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All Journal Media Informatika Jurnal Ilmiah Poli Rekayasa Elektron Jurnal Ilmiah Jurnal Teknik Elektro Prosiding Semnastek JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat International Journal of Advanced Science Computing and Engineering International Journal of Wireless And Multimedia Communications JAPEPAM, Jurnal Pengabdian kepada Masyarakat
Yul Antonisfia
Politeknik Negeri Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences

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E-Nose for Piston Ring and Cylinder Block Condition Detection of Motorcycle Engine Based on MyRIO LabVIEW Programming Andrizal, -; Antonisfia, Yul; Alfitri, Nadia; Junaldi, -
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2221

Abstract

This study has created a system capable of identifying the condition of the piston ring and cylinder block of a 4-stroke motorcycle engine using petrol or similar through exhaust emissions. Multisensory gas, sensitive to changes in CO, CO2, NOx, and HC gas elements and compounds, is installed as an input to the exhaust channel and integrated using LabVIEW programming on the NI myRIO module. Multisensory data is processed using the FFT and the backpropagation method to classify whether the piston rings and engine cylinder block are in good or damaged condition. Tests have been carried out on motorbikes with piston rings and engine cylinder blocks that are in good, damaged, or unknown condition. During the test, the target error value for motorcycles with piston rings and engine cylinder blocks in good or damaged condition is less than 1%. The system can distinguish the condition of the piston ring and cylinder block of a motorcycle engine that is 100% optimal and 100% damaged with an error of 0% compared to the compression test method, and the maximum error is 20% Compared to the technician's manual method. Ten motorcycles were randomly tested in unknown conditions; 50% were in good condition, and 50% were damaged. For further development, an electronic nose system can detect engine combustion conditions and damage to cylinder rings and 4-stroke motorbike engine blocks based on exhaust emissions.
Design of Monitoring and Control System For Air Temperature And Humidity In Oyster Mushroom Cultivation Room Based on IOT Raffa Aulia Mutaqi; Milda Yuliza; Yul Antonisfia; Nisa Rahima Sakinah Nisa
International Journal of Wireless And Multimedia Communications Vol. 2 No. 1 (2025): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v2i1.59

Abstract

Oyster mushroom cultivation is very popular among rural and urban communities, both on a small, medium and industrial scale. Oyster mushroom cultivation requires controlling the temperature and humidity in the mushroom barn to get optimal mushroom body growth. In general, the optimal temperature for oyster mushroom growth in the fruiting phase is 26-30°C with a humidity of 70-95%RH. This system describes the workings of the device used to monitor temperature and humidity using a DHT22 sensor through a microcontroller, which is displayed on the Blynk application and a 20x4 LCD. Measurements in lowland areas show a temperature of 29°C and humidity of 95%. The percentage error of the temperature measurement with the DHT22 sensor is 6.37%, with an average error of 1.60%. As for humidity, the measurement error is 0.71% with an average error of 0.82%. With this system, mushroom farmers can monitor the environmental conditions of the cultivation room in real-time through an IoT platform connected to the sensor.
Co-Authors - Andrizal - Hendrick - Suryadi Aditya Saputra Albar - Amril amril Andi Syofian Andrizal Andrizal Andrizal, - Anggara Nasution Anisa, Fitri Anton Anton Anton Hidayat Aprinal Adila Asril Budhi Bakhtiar Budhi Bakhtiar David Eka Putra Dedi Kurniadi EFENDI Era Madona Firdaus Firdaus Halim Mudia Ifni Joi Junaldi Junaldi Junaldi, - Laxmy Devy Laxsmy Devy Lifwarda Lifwarda Maria, Popi Milda Yuliza Monica Febrina Muhammad irmansyah Nadia Alfitri Nisa Rahima Sakinah Nisa Raffa Aulia Mutaqi Randy Heriyanto Rangga Ade Julianto Rieke Syochrani Zaef Rimra, Ihsan Lumasa Rio Aditama romi wiryadinata Ronal Hadi Roza Susanti Sarjon Defit Sir Anderson Sri Nita Tuti Anggraini Tuti Angraini Yefriadi Yefriadi Yuhefizar Yuhefizar Yultrisna Yultrisna Zas Ressy Aidha Zhefry Anovra Zulharbi Zulharbi - Zulharbi Zulharbi