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Design and Development of IoT-Based Alcohol, CO₂, H₂S, and PM2.5 Detection System for Air Quality Monitoring in Chemical Laboratories

Indonesian Journal of Chemical Science · Vol. 15 No. 1 (2026) · hlm. 1–8

DOI
10.15294/ijcs.v15i1.31224
ISSN
2502-6844, 2252-6951
Terbit
2026-05-26
Penerbit
Prodi Kimia
Bahasa
eng

Abstrak

Air quality in a chemical laboratory is a crucial factor for occupational safety due to potential exposure to hazardous compounds such as alcohol vapor, CO₂, H₂S, and PM2.5 particles. This research aims to design, build, and test an Internet of Things (IoT)-based air quality detection system capable of monitoring these pollutants in real-time. The research method involved designing a system using MQ-3, MQ-135, MQ-136, and GP2Y1010AUF sensors integrated with a NodeMCU ESP32 microcontroller. Sensor calibration was performed using experimental methods to ensure the device's accuracy. The calibration results showed high validity with coefficients of determination (R²) for the MQ-3, MQ-135, and MQ-136 sensors of 0.9873, 0.9871, and 0.9127, respectively. The average measurement error of the system was below 5%. The system proved effective in providing early warnings and can be applied to enhance occupational safety and health in chemical laboratories through continuous and responsive air quality monitoring.

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ijcs/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Design and Development of IoT-Based Alcohol, CO₂, H₂S, and PM2.5 Detection System for Air Quality Monitoring in Chemical Laboratories</dc:title>
	<dc:creator xml:lang="en">Quthbil Irsyad, Muhammad</dc:creator>
	<dc:creator xml:lang="en">Wahyuni, Sri</dc:creator>
	<dc:subject xml:lang="en">IoT</dc:subject>
	<dc:subject xml:lang="en">Kualitas Udara</dc:subject>
	<dc:subject xml:lang="en">Sensor Gas</dc:subject>
	<dc:subject xml:lang="en">PM2.5</dc:subject>
	<dc:subject xml:lang="en">Laboratorium Kimia</dc:subject>
	<dc:description xml:lang="en">Air quality in a chemical laboratory is a crucial factor for occupational safety due to potential exposure to hazardous compounds such as alcohol vapor, CO₂, H₂S, and PM2.5 particles. This research aims to design, build, and test an Internet of Things (IoT)-based air quality detection system capable of monitoring these pollutants in real-time. The research method involved designing a system using MQ-3, MQ-135, MQ-136, and GP2Y1010AUF sensors integrated with a NodeMCU ESP32 microcontroller. Sensor calibration was performed using experimental methods to ensure the device's accuracy. The calibration results showed high validity with coefficients of determination (R²) for the MQ-3, MQ-135, and MQ-136 sensors of 0.9873, 0.9871, and 0.9127, respectively. The average measurement error of the system was below 5%. The system proved effective in providing early warnings and can be applied to enhance occupational safety and health in chemical laboratories through continuous and responsive air quality monitoring.</dc:description>
	<dc:publisher xml:lang="en">Prodi Kimia</dc:publisher>
	<dc:date>2026-05-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/ijcs/article/view/31224</dc:identifier>
	<dc:identifier>10.15294/ijcs.v15i1.31224</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Chemical Science; Vol. 15 No. 1 (2026): Indonesian Journal of Chemical Science; 1-8</dc:source>
	<dc:source>2502-6844</dc:source>
	<dc:source>2252-6951</dc:source>
	<dc:source>10.15294/ijcs.v15i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ijcs/article/view/31224/9869</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Indonesian Journal of Chemical Science</dc:rights>
</oai_dc:dc>