Page 107 - Conference Book The 3rd IConVET "Future of TVET Graduates: Developing Talent for Industry 4.0 and The New Normal"

The 3 International Conference
rd
on Vocational Education and Technology (IConVET)
th
Universitas Pendidikan Ganesha - Bali | 7 November, 2020
A PROTOTYPE OF IOT-BASED SMART SYSTEM TO
SUPPORT MOTORCYCLISTS SAFETY

P Prasetyawan , S Samsugi , A Mulyanto , M Iqbal , R Prabowo and
1
1
2
1
2
Ardiansyah
2
1 Faculty of Engineering & Computer Science, Universitas Teknokrat
Indonesia
2 Department of Computer Science, Universitas Lampung, Indonesia
purwono.prasetyawan@teknokrat.ac.id

Abstract. The article explains the smart system prototype for support safety
riding using the Internet of Things (IoT) technology that consists of
connectivity objects like helmets, motorcycles, and riders/people (via
smartphone). The system is pervasive in helmets and motorcycles with
several main electronic components, including NodeMCU microcontroller,
accelerometer-gyroscope sensor, a GPS (Global Positioning System)
module, flex sensor, buzzer, and relay. Then helmet, motorcycles, and riders
to connect with others through the internet with the android application
interface. The application can monitor real-time status and location riders
using firebase real-time database. This system has four features: a
combination of previous related works, namely helmet detection, drowsiness
detection, accident detection, and notification with the accident's location
that can be tracked by others. The results of this system prototype experiment
show that all features of the system are running well. The accuracy value for
helmet detection is 100%, drowsiness detection is 87%, and accident
detection is 90%. Rider status and location can be monitored and tracked by
others via the android application.

| IConVET 2020 | 107

https://conference.undiksha.ac.id/iconvet/ | 107 |