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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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "about": [
    {
      "@id": "", 
      "@type": "CreativeWork"
    }, 
    {
      "@id": "https://hdl.handle.net/D6653049420/2020\u00a9BEIESP", 
      "@type": "CreativeWork"
    }
  ], 
  "description": "<p>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.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Informatics, Bina Nusantara University, Bandung,  Indonesia.", 
      "@type": "Person", 
      "name": "Boby Siswanto"
    }, 
    {
      "affiliation": "Informatics, Bina Nusantara University, Bandung,  Indonesia.", 
      "@type": "Person", 
      "name": "Johan M. Kerta"
    }, 
    {
      "affiliation": "Informatics, Bina Nusantara University, Bandung,  Indonesia.", 
      "@type": "Person", 
      "name": "Ranny"
    }, 
    {
      "affiliation": "Informatics, Bina Nusantara University, Bandung,  Indonesia.", 
      "@type": "Person", 
      "name": "Devwanto D. Nugroho"
    }
  ], 
  "headline": "Automatic Detection of Carbon Dioxide  Concentration using IoT", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-04-30", 
  "keywords": [
    "Carbon dioxide measurement, Internet of Things, Automatic Comparison, Classroom."
  ], 
  "url": "https://zenodo.org/record/5565750", 
  "contributor": [
    {
      "affiliation": "Publisher", 
      "@type": "Person", 
      "name": "Blue Eyes Intelligence Engineering  & Sciences Publication (BEIESP)"
    }
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.35940/ijeat.D6653.049420", 
  "@id": "https://doi.org/10.35940/ijeat.D6653.049420", 
  "@type": "ScholarlyArticle", 
  "name": "Automatic Detection of Carbon Dioxide  Concentration using IoT"
}
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