mech@eng.ui.ac.id +62 21 7270032 mech@eng.ui.ac.id +62 21 7270032
mech@eng.ui.ac.id +62 21 7270032henky.suskito@eng.ui.ac.id
1987 – Mechanical Engineering, Universitas Indonesia
1999 – Mechanical Engineering, Universitas Indonesia
2014 – Mechanical Engineering, Universitas Indonesia
This application will help you monitor and maintain your vehicle. It is user-friendly and its results are accurate.
Driving behavior affects a vehicle’s performance and safety. On the other hand. millennial lifestyles have changed in the 4.0 industrial era and require a SMART system that can be applied to the vehicle industry in monitoring a vehicle’s real-time performance, diagnosing the source of damage, and predicting the remainder of the life of a vehicle’s components. We developed a Smart System-Based Vehicle Monitoring and Maintenance System (S2M2S) using OBD2 (On-board Diagnostics) and Raspberry Pi running the modeled calculation algorithms and Machine Learning (ML) algorithms in predicting the vehicle’s conditions, including the lifetime of the brake lining, lubricants, water filters, exhaust gases, fuel, and others affected by driving behaviors.
We operated an IoT (Internet of Things) application and data interface for a cloud database by using a smartphone. Trials and integration of the OBD2, Raspberry Pi, and smartphone systems were carried out on a 2015 Nissan Juke to extract data such as the speed, mass air flow, RPM, or throttle position. S2M2S outputs were verified with laboratory test results or examinations. We are currently and continuously developing to diagnose a vehicle using the ML-based SMART system to monitor, predict conditions, and detect the source of damage of a vehicle’s component for conventional, hybrid, or electric vehicles. S2M2S is expected to be a SMART tool in improving a vehicle’s performance and quality.
