Journal article Open Access

Automatic Detection of Carbon Dioxide Concentration using IoT

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

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:contributor>Blue Eyes Intelligence Engineering  &amp; Sciences Publication (BEIESP)</dc:contributor>
  <dc:creator>Boby Siswanto</dc:creator>
  <dc:creator>Johan M. Kerta</dc:creator>
  <dc:creator>Devwanto D. Nugroho</dc:creator>
  <dc:description>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.</dc:description>
  <dc:source>International Journal of Engineering and Advanced Technology (IJEAT) 9(4) 2474-2477</dc:source>
  <dc:subject>Carbon dioxide measurement, Internet of Things, Automatic Comparison, Classroom.</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Automatic Detection of Carbon Dioxide  Concentration using IoT</dc:title>
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