Journal article Open Access

Automatic Detection of Carbon Dioxide Concentration using IoT

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


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <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>Ranny</dc:creator>
  <dc:creator>Devwanto D. Nugroho</dc:creator>
  <dc:date>2020-04-30</dc:date>
  <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:identifier>https://zenodo.org/record/5565750</dc:identifier>
  <dc:identifier>10.35940/ijeat.D6653.049420</dc:identifier>
  <dc:identifier>oai:zenodo.org:5565750</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>issn:2249-8958</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <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>ISSN</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Automatic Detection of Carbon Dioxide  Concentration using IoT</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
23
21
views
downloads
Views 23
Downloads 21
Data volume 13.2 MB
Unique views 22
Unique downloads 18

Share

Cite as