Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Proceeding Applied Business and Engineering Conference
Raywanda Affandi Harahap
Unknown Affiliation
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
RANCANG BANGUN ALAT MONITORING KUALITAS UDARA BERBASIS NODEMCU ESP8266 (HARDWARE) Raywanda Affandi Harahap; Mohammad Yanuar Hariyawan
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract In 2015, forests in the Riau region experienced severe fires that also resulted in haze. The impact of the disaster, especially the Caltex Riau Polytechnic, was disrupted teaching and learning activities. The application of technology in the form of sensors as a system monitoring air quality can be used to assist in making emergency decisions for haze disasters, especially the Caltex Riau Polytechnic environment. The implementation of the GP2Y1010AU0F sensor as a detector for PM10 air levels, the DHT11 sensor as a temperature and humidity detector, the MQ-7 sensor as a detector for carbon monoxide levels in the air and the use of the ESP8266module WiFi as a medium for sending sensor data to the web as a monitoring system for sensors to users. PM10 sensor testing has an average error rate of 8.2% with a comparison tool, a temperature sensor of 8.42% and a humidity sensor of 2.89%. Monitoring is carried out via the internet via the web so that remote monitoring can be carried out as long as it is connected to the internet network. With this system, air quality information can be found through the website in real time. Keywords: haze, monitoring, decision making, realtime
Co-Authors Mohammad Yanuar Hariyawan