Monitoring System of Condition and Position of The Driver Based on The Internet of Things

The high rate of accidents caused by human error is still a problem faced in Indonesia. Road accidents caused by fatigue and drowsiness are very serious problems that cause thousands of road accidents every year. This research aims to create a system that can help prevent accidents caused by the dr...

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Autores principales:	Reyana Yunindya Sabilla, Dodon Yendri
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Andalas 2021
Materias:	Arduino Uno, Pulse Sensor, GPS Module, NodeMCU, Monitoring Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/4fb2e65ae5c941c28a8a17d788c45d1f
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id	oai:doaj.org-article:4fb2e65ae5c941c28a8a17d788c45d1f
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spelling	oai:doaj.org-article:4fb2e65ae5c941c28a8a17d788c45d1f2021-11-22T08:47:40ZMonitoring System of Condition and Position of The Driver Based on The Internet of Things10.25077/chipset.2.01.1-10.20212722-4422https://doaj.org/article/4fb2e65ae5c941c28a8a17d788c45d1f2021-04-01T00:00:00Zhttp://chipset.fti.unand.ac.id/index.php/chipset/article/view/37https://doaj.org/toc/2722-4422 The high rate of accidents caused by human error is still a problem faced in Indonesia. Road accidents caused by fatigue and drowsiness are very serious problems that cause thousands of road accidents every year. This research aims to create a system that can help prevent accidents caused by the driver's condition. The system consists of three main components, namely embedded systems, real-time databases, and mobile applications. The embedded system consists of the Arduino Uno, Pulse Sensor, GPS Module, Push Button, and NodeMCU. Based on the tests performed, the system can distinguish male and female drivers based on the input of the Push Button received. The system reads the driver's heart rate using a Pulse Sensor and monitors the driver's condition (normal, abnormal, and sleepy) on a straight road with an average error of 1.69%. The system gets the driver's location using the GPS Module with the closest error distance is 13.54 meters, and the farthest error distance is 18.66 meters from the actual location. And the system can display data on real-time databases and mobile applications, as well as send Telegram notifications to the driver's family smartphone via NodeMCU ith the fastest time difference is 5 seconds and the longest time is 8 seconds in good internet conditions Reyana Yunindya SabillaDodon YendriUniversitas AndalasarticleArduino Uno, Pulse Sensor, GPS Module, NodeMCU, MonitoringComputer softwareQA76.75-76.765Computer engineering. Computer hardwareTK7885-7895ENIDCHIPSET, Vol 2, Iss 01 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	Arduino Uno, Pulse Sensor, GPS Module, NodeMCU, Monitoring Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Arduino Uno, Pulse Sensor, GPS Module, NodeMCU, Monitoring Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895 Reyana Yunindya Sabilla Dodon Yendri Monitoring System of Condition and Position of The Driver Based on The Internet of Things
description	The high rate of accidents caused by human error is still a problem faced in Indonesia. Road accidents caused by fatigue and drowsiness are very serious problems that cause thousands of road accidents every year. This research aims to create a system that can help prevent accidents caused by the driver's condition. The system consists of three main components, namely embedded systems, real-time databases, and mobile applications. The embedded system consists of the Arduino Uno, Pulse Sensor, GPS Module, Push Button, and NodeMCU. Based on the tests performed, the system can distinguish male and female drivers based on the input of the Push Button received. The system reads the driver's heart rate using a Pulse Sensor and monitors the driver's condition (normal, abnormal, and sleepy) on a straight road with an average error of 1.69%. The system gets the driver's location using the GPS Module with the closest error distance is 13.54 meters, and the farthest error distance is 18.66 meters from the actual location. And the system can display data on real-time databases and mobile applications, as well as send Telegram notifications to the driver's family smartphone via NodeMCU ith the fastest time difference is 5 seconds and the longest time is 8 seconds in good internet conditions
format	article
author	Reyana Yunindya Sabilla Dodon Yendri
author_facet	Reyana Yunindya Sabilla Dodon Yendri
author_sort	Reyana Yunindya Sabilla
title	Monitoring System of Condition and Position of The Driver Based on The Internet of Things
title_short	Monitoring System of Condition and Position of The Driver Based on The Internet of Things
title_full	Monitoring System of Condition and Position of The Driver Based on The Internet of Things
title_fullStr	Monitoring System of Condition and Position of The Driver Based on The Internet of Things
title_full_unstemmed	Monitoring System of Condition and Position of The Driver Based on The Internet of Things
title_sort	monitoring system of condition and position of the driver based on the internet of things
publisher	Universitas Andalas
publishDate	2021
url	https://doaj.org/article/4fb2e65ae5c941c28a8a17d788c45d1f
work_keys_str_mv	AT reyanayunindyasabilla monitoringsystemofconditionandpositionofthedriverbasedontheinternetofthings AT dodonyendri monitoringsystemofconditionandpositionofthedriverbasedontheinternetofthings
_version_	1718417793554055168

Monitoring System of Condition and Position of The Driver Based on The Internet of Things

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