Open AccessAutomatic Detection of Carbon Dioxide Concentration using IoT
Author(s) -
Boby Siswanto,
Johan Muliadi Kerta,
Ranny,
Devwanto D. Nugroho
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d6653.049420
Subject(s) - carbon dioxide , internet of things , class (philosophy) , carbon dioxide in earth's atmosphere , electrochemical reduction of carbon dioxide , affect (linguistics) , computer science , environmental chemistry , environmental science , materials science , chemistry , psychology , artificial intelligence , world wide web , organic chemistry , communication , carbon monoxide , catalysis
Inside a classroom inhabited by students, carbon dioxide (CO2 ) will be produced. Number of students and inhabiting time will affect the carbon dioxide concentration. This research implementing Internet of Things (IoT) devices to measure carbon dioxide level inside a classroom. Measurements taken are comparing carbon dioxide level of student activity between exam class and regular learning class. On 100 minutes of measurement found that carbon dioxide concentration inside exam class 5% higher than carbon dioxide concentration inside regular learning class with the same number of inhabitants.