Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Implementation of Indoor Air Quality Monitoring Systems of Particulate Matter 2.5 Based on the Internet of Things

JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) · Vol. 16 No. 3 (2024) · hlm. 266–276

DOI
10.20473/jkl.v16i3.2024.266-276
ISSN
2540-881X, 1829-7285
Terbit
2024-07-27
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Introduction: Indoor air quality significantly influences human health because humans can do work and rest indoors. Particulate Matter (PM2.5) is ranked 5th as the leading risk factor for death in the world and causes more than 103 million disabilities. PM2.5 concentrations are the highest, so a monitoring system is needed that can monitor air conditions in real-time and continuously. Methods: Research was conducted using the Research and Development (R&D) type. The scope of the research method is making prototypes and fieldtesting tools. Determination of field test locations is based on indicators such as (i) inadequate ventilation in the respondent's house so that air circulation does not run well; (ii) The family room and bedroom are close to the kitchen and waste incinerator, which has the potential to produce PM2.5 pollutants. Data analysis used descriptive analysis to get a picture of indoor air quality. Results and Discussion: The designed monitoring system was calibrated with the Air Quality Monitor 8 in 1 PM2.5 tool. The average PM2.5 concentration measurement for 24 hours showed that all test points exceeded the standard limit. Room 3 (family room) had the highest PM2.5 concentration, while room 4 (bedroom) had the lowest PM2.5 concentration. Conclusion: The area of air ventilation, mining activities, mining product transportation activities, the intensity of watering roadsides and home yards, and cooking activities influence PM2.5 concentrations.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 161 tautan kepenulisan bersama · 48 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Jember
  • Universitas Airlangga
  • Universiti Putra Malaysia
  • Magyar Agrár- és Élettudományi Egyetem
  • Lambung Mangkurat University
  • Ministry of Health and Social Welfare
  • Jenderal Soedirman University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Ana Islamiyah SyamilaUniversitas Jember4
Edza Aria WikurendraMagyar Agrár- és Élettudományi Egyetem4
Khuliyah Candraning DiyanahUniversitas Airlangga3
Aditya Sukma PawitraUniversitas Airlangga3
Farida Wahyu NingtyiasUniversitas Jember3
Hilda Nur AbidahUniversitas Jember3
Reny IndrayaniUniversitas Jember2
Ellyke EllykeUniversitas Jember2
Dhuha Itsnanisa AdiUniversitas Jember2
Rahmat DapariUniversiti Putra Malaysia2
Muhammad Rasyid RidhaLambung Mangkurat University2
Ririh YudhastutiUniversitas Airlangga2
Lilis SulistyoriniUniversitas Airlangga2
Diva Alishya ShafwahUniversitas Airlangga2
Babucarr JasseyMinistry of Health and Social Welfare2
Ni’mal BaroyaUniversitas Jember2
Ricko Pratama RidzkyantoAfiliasi tidak diketahui1
Alisa Ulinuha ZulfaUniversitas Jember1
Dida Putri Awal MardikaAfiliasi tidak diketahui1
Rizka Dyah PitalokaUniversitas Jember1
Herwinda Ainun KarimaUniversitas Jember1
Risa WulandariUniversitas Jember1
Delina Krisnauli SafitriAfiliasi tidak diketahui1
Isa MarufiAfiliasi tidak diketahui1
Prehatin Trirahayu NingrumUniversitas Jember1
Anita Dewi MoelyaningrumUniversitas Jember1
Ragil Ismi HartantiUniversitas Jember1
Rahayu Sri PujiatiUniversitas Jember1
Kurnia Ardiansyah AkbarUniversitas Jember1
R. AzizahUniversitas Airlangga1
Juliana JalaludinUniversiti Putra Malaysia1
Muhammad Addin RizaldiJenderal Soedirman University1
Mochammad SholehhudinUniversitas Airlangga1
Zaneta Aaqilah SalsabilaUniversitas Airlangga1
Zafira Nuha NauraUniversitas Airlangga1
Nurul Ulya LuthfiyanaUniversitas Jember1
Devi Arine KusumawardaniUniversitas Jember1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JKL/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" 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:title xml:lang="en-US">Implementation of Indoor Air Quality Monitoring Systems of Particulate Matter 2.5 Based on the Internet of Things</dc:title>
	<dc:creator>Irbah, Nafi'atul </dc:creator>
	<dc:creator>Nurika, Globila</dc:creator>
	<dc:creator>Ramani, Andrei </dc:creator>
	<dc:subject xml:lang="en-US">Particulate Matter (PM2.5)</dc:subject>
	<dc:subject xml:lang="en-US">Internet of Things</dc:subject>
	<dc:subject xml:lang="en-US">Indoor air quality monitoring system</dc:subject>
	<dc:description xml:lang="en-US">Introduction: Indoor air quality significantly influences human health because humans can do work and rest indoors. Particulate Matter (PM2.5) is ranked 5th as the leading risk factor for death in the world and causes more than 103 million disabilities. PM2.5 concentrations are the highest, so a monitoring system is needed that can monitor air conditions in real-time and continuously. Methods: Research was conducted using the Research and Development (R&amp;amp;D) type. The scope of the research method is making prototypes and fieldtesting tools. Determination of field test locations is based on indicators such as (i) inadequate ventilation in the respondent's house so that air circulation does not run well; (ii) The family room and bedroom are close to the kitchen and waste incinerator, which has the potential to produce PM2.5 pollutants. Data analysis used descriptive analysis to get a picture of indoor air quality. Results and Discussion: The designed monitoring system was calibrated with the Air Quality Monitor 8 in 1 PM2.5 tool. The average PM2.5 concentration measurement for 24 hours showed that all test points exceeded the standard limit. Room 3 (family room) had the highest PM2.5 concentration, while room 4 (bedroom) had the lowest PM2.5 concentration. Conclusion: The area of air ventilation, mining activities, mining product transportation activities, the intensity of watering roadsides and home yards, and cooking activities influence PM2.5 concentrations.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2024-07-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JKL/article/view/56713</dc:identifier>
	<dc:identifier>10.20473/jkl.v16i3.2024.266-276</dc:identifier>
	<dc:source xml:lang="en-US">JURNAL KESEHATAN LINGKUNGAN ; Vol. 16 No. 3 (2024): JURNAL KESEHATAN LINGKUNGAN; 266-276</dc:source>
	<dc:source>2540-881X</dc:source>
	<dc:source>1829-7285</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/56713/29410</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/56713/29411</dc:relation>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>