Automatic Detection of Carbon Dioxide Concentration using IoT 
Boby Siswanto1, Johan M. Kerta2, Ranny3, Devwanto D. Nugroho4
1Boby Siswanto*, Informatics, Bina Nusantara University, Bandung, Indonesia.
2Johan M. Kerta, Informatics, Bina Nusantara University, Bandung, Indonesia.
3Ranny, Informatics, Bina Nusantara University, Bandung, Indonesia.
4Devwanto D. Nugroho, Informatics, Bina Nusantara University, Bandung, Indonesia.
Manuscript received on March 19, 2020. | Revised Manuscript received on April 03, 2020. | Manuscript published on April 30, 2020. | PP: 2474-2477 | Volume-9 Issue-4, April 2020. | Retrieval Number: D6653049420/2020©BEIESP | DOI: 10.35940/ijeat.D6653.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Carbon dioxide measurement, Internet of Things, Automatic Comparison, Classroom.