DOI : https://doi.org/10.18517/ijaseit.10.6.12989

Analysis of Indoor Air QualityBased on Low-Cost Sensors

Faishal Tahsiin (1), Lia Anggraeni (2), Indra Chandra (3), Rahmat Awaludin Salam (4), Hertiana Bethaningtyas (5)
(1) Engineering Physics, School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung, 40257, Indonesia
(2) Engineering Physics, School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung, 40257, Indonesia
(3) Engineering Physics, School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung, 40257, Indonesia
(4) Engineering Physics, School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung, 40257, Indonesia
(5) Engineering Physics, School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung, 40257, Indonesia
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How to cite (IJASEIT) :
Tahsiin, Faishal, et al. “Analysis of Indoor Air QualityBased on Low-Cost Sensors”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 6, Dec. 2020, pp. 2627-33, doi:10.18517/ijaseit.10.6.12989.
Citation Format :
According to WHO, indoor and/or outdoor air pollution is one of the main contributors to over two million premature deaths each year. As most of the human’s life is spent indoor, Indoor Air Quality (IAQ) - an air quality inside of a building represented by pollutant concentration and thermal condition - is one factor that needs to be concerned to sustain healthy living. In this research, we developed an Internet of Things (IoT)-based IAQ monitoring device using low-cost sensors that measure the concentrations of Carbon Dioxide (CO2), Oxygen (O2), and Particulate Matter (PM2.5). This device connects to an Android application to further observe these parameters inside two practicum laboratories in Telkom University, Bandung, for a total duration of six weeks. The location is surrounded by urban air pollution, particularly industrial activities, and residential waste burning. We also have sites of outdoor air quality monitoring system for simultaneous measurement. The environmental conditions were observed under no human activities, human intervention, and indoor plants' influence (i.e., Dieffenbachia sp.). Results show that pollutant concentrations are considerably influenced by outdoor conditions, occupancy level, and ventilation rate. Indoor plants can reduce CO2 concentrations inside the room (21-47%). On the other hand, there is no clear evidence that PM2.5 mass concentrations were affected by human activities. The bigger particles (PM >2.5 microns) probably were the ones induced by occupants during practicum. Therefore, using low-cost sensors is trustworthy to monitor IAQ for a better quality of life.

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