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Abstract
Air quality is important for the survival of the entire ecosystem. Air contains various substances, namely, CH4, PM2.5, NO2, SO2, CO, PM10, and so on. At certain levels these substances have the potential to cause health problems. This study discusses a remote sensor system using Wi-Fi communication on ESP32 and the Decision Tree Algorithm as a classification of values to the ISPU for CO and NO2 levels whose reading data is sent to the MySQL database server then the data is displayed on the website and on a 128x64 Graphic LCD. Based on the tests carried out the system runs according to plan, where the sensor can detect CO and NO2 by sampling per 5 seconds then the reading value will be classified using the Decision Tree Algorithm and the reading results will be sent to the database every 30 seconds and displayed on the website with a delivery delay of 5 seconds and data on the website can be downloaded in CSV format.
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Copyright (c) 2024 Alfiandi Aulia Rahmadani Rahmadani, Budhy Setiawan, Donny Radianto
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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References
Pusat Badan Statistik, “Laju Pertumbuhan Penduduk (Persen), 2020-2022,” 2022. https://www.bps.go.id/indicator/12/1976/1/laju-pertumbuhan-penduduk.html (diakses 14 Desember 2022).
Pemerintah Indonesia, Peraturan Pemerintah Republik Indonesia Nomor 41 Tahun 1999 Tentang Pengendalian Pencemaran Udara. Jakarta: Lembaran Negara Republik Indonesia Tahun 1999 Nomor 86, 1999.
H. D. Situmorang, “Kualitas Udara di Indonesia Terus Memburuk,” Jakarta, 5 Juni 2021. Diakses: 13 Mei 2023. [Daring]. Tersedia pada: https://www.beritasatu.com/nasional/783001/kualitas-udara-di-indonesia-terus-memburuk
Badan Meteorologi Klimatologi dan Geofisika (BMKG), “Badan Meteorologi Klimatologi dan Geofisika (BMKG) - Kualitas Udara,” September 2022. https://www.bmkg.go.id/kualitas-udara/informasi-no2.bmkg (diakses 23 Oktober 2022).
Z. Liu, G. Wang, L. Zhao, dan G. Yang, “Multi-Points Indoor Air Quality Monitoring Based on Internet of Things,” IEEE Access, vol. 9, hlm. 70479–70492, 2021, doi: 10.1109/ACCESS.2021.3073681.
P. Spachos dan D. Hatzinakos, “Real-Time Indoor Carbon Dioxide Monitoring Through Cognitive Wireless Sensor Networks,” IEEE Sens J, vol. 16, no. 2, hlm. 506–514, 2016, doi: 10.1109/JSEN.2015.2479647.
P. Asthana dan S. Mishra, “IoT Enabled Real Time Bolt based Indoor Air Quality Monitoring System,” dalam 2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES), 2018, hlm. 36–39. doi: 10.1109/CCTES.2018.8674076.
A. Chattopadhyay dkk., “Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled Environment,” IEEE Sens J, vol. 22, no. 12, hlm. 11791–11802, 2022, doi: 10.1109/JSEN.2022.3172864.
B. Tian, K. M. Hou, X. Diao, H. Shi, H. Zhou, dan W. Wang, “Environment-Adaptive Calibration System for Outdoor Low-Cost Electrochemical Gas Sensors,” IEEE Access, vol. 7, hlm. 62592–62605, 2019, doi: 10.1109/ACCESS.2019.2916826.
R. Rumantri, M. Y. N. Khakim, dan I. Iskandar, “Design and Characterization of Low-Cost Sensors for Air Quality Monitoring System,” Jurnal Pendidikan IPA Indonesia, vol. 7, hlm. 347–354, Sep 2018, doi: 10.15294/jpii.v7i3.14444.
A. Maier, A. Sharp, dan Y. Vagapov, “Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things,” dalam 2017 Internet Technologies and Applications (ITA), 2017, hlm. 143–148. doi: 10.1109/ITECHA.2017.8101926.
“Technical Data MQ-7 Gas Sensor,” Hanwei Electronics CO., LTD. Diakses: 14 Desember 2022. [Daring]. Tersedia pada: https://datasheetspdf.com/pdf-file/694312/Hanwei/MQ7/1
“Technical Data MQ-135 Gas Sensor,” Hanwei Electronics CO.,LTD. Diakses: 14 Desember 2022. [Daring]. Tersedia pada: https://www.electronicoscaldas.com/datasheet/MQ-135_Hanwei.pdf