ULHAQ, ANDHIKA DZIA (2026) RANCANG BANGUN SISTEM MONITORING KUALITAS UDARA DALAM RUANGAN BERBASIS INTERNET OF THINGS. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Air pollution, particularly in enclosed workspaces, is a critical factor that significantly impacts worker health and productivity. The lack of adequate monitoring systems in work environments often leaves air pollution levels undetected by occupants. This study aims to design and develop an Internet of Things (IoT)-based indoor air quality monitoring system capable of providing real-time information on pollution levels. The hardware developed utilizes the NodeMCU microcontroller as the central control unit and WiFi communication module. This system integrates the MQ-135 sensor to detect concentrations of pollutant gases, specifically Carbon Dioxide (CO2), and the DHT11 sensor to monitor temperature and humidity parameters. The data from the sensor readings are displayed locally via an OLED LCD screen and transmitted wirelessly at 20-second intervals to the ThingSpeak IoT platform for remote monitoring. System testing conducted over seven working hours demonstrates that the device is capable of detecting changes in air conditions responsively and stably. Based on the measurement data, the average CO2 concentration fluctuated between 400.98 ppm and 406.98 ppm, room temperature ranged from 26.3°C to 28.5°C, and humidity levels stayed within the range of 62% to 72%. Overall, the air quality in the 10x5 meter workspace is categorized as good and safe according to the standards of the Ministry of Health of the Republic of Indonesia. The implementation of this system is expected to serve as an early warning for workers to take preventive measures to maintain a healthy work environment. Keywords: Air Quality, MQ-135, IoT, NodeMCU, ThingSpeak, Monitoring. Pencemaran udara, khususnya di area kerja tertutup, merupakan faktor penting yang berdampak signifikan terhadap kesehatan dan produktivitas pekerja. Kurangnya sistem pemantauan yang memadai di lingkungan kerja membuat tingkat polusi udara sering kali tidak disadari oleh para penghuni ruangan. Penelitian ini bertujuan merancanb bangun sistem monitoring kualitas udara dalam ruangan bebasis internet of things (IoT) yang mampu memberikan informasi tingkat pencemaran secara real-time. Perangkat keras yang dikembangkan menggunakan mikrokontroler NodeMCU sebagai pusat kendali sekaligus modul komunikasi WiFi. Sistem ini mengintegrasujan sensor MQ-135 untuk mendeteksi konsentrasi gas polutan, khususnya Karbon Dioksida (CO2), serta sensor DHT11 untuk memantau parameter suhu dan kelembaban udara. Data hasil pembacaan sensor ditampilkan secara langsung (lokal) melalui layar OLED LCD dan dikirimkan secara nirkabel dengan interval 20 detik ke platfor IoT ThingSpeak untuk pemantauan jarak jauh. Hasil pengujian sistem yang dilakukan selama 7 (tujuh) jam operasional kerja menunjukkan bahwa perangkat mampu mendeteksi perubahan kondisi udara secara responsive dan stabil. Berdasarkan data pengukuran, tingkat rata-rata konsentrasi CO2 berfluktuasi antara 400.98 ppm hingga 406.98 ppm, suhu ruangan berkisar antara 26.3°C hingga 28.5°C, dan tingkat kelembaban berada pada rentang 62% hingga 72%. Secara keseluruhan, kualitas udara di dalam ruangan kerja berukuran 10x5 m masih tergolong dalam kondisi baik dan aman sesuai dengan standar kementrian kesehatan RI. Implementasi sistem ini diharapkan dapat berfungsi sebagai peringatan dini bagi pekerja untuk mengambil tindakan preventif guna menjaga keseha Kata kunci: Kualitas Udara, MQ-135, IoT, NodeMCU, ThingSpeak, Monitoring
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