Journal article Open Access

Automatic Detection of Carbon Dioxide Concentration using IoT

Boby Siswanto; Johan M. Kerta; Ranny; Devwanto D. Nugroho

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)

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.

Files (627.5 kB)
Name Size
D6653049420.pdf
md5:28e757147a96095b0b5f8cdea73ab265
627.5 kB Download
18
16
views
downloads
Views 18
Downloads 16
Data volume 10.0 MB
Unique views 17
Unique downloads 13

Share

Cite as