Pengembangan Sistem Pemantauan dan Kontrol Udara PM2.5 Menggunakan PMS5003 di Lingkungan Bengkel

Abstract

Peningkatan jumlah kendaraan bermotor di Indonesia berdampak signifikan terhadap kualitas udara, terutama di lingkungan kerja seperti bengkel. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pemantauan dan kontrol udara berbasis Internet of Things (IoT) di Bengkel Akastra Toyota. Sistem ini menggunakan sensor MQ-7 untuk mendeteksi karbon monoksida (CO), sensor PMS5003 untuk mendeteksi partikel debu (PM2.5), dan perangkat air purifier yang dikontrol oleh mikrokontroler ESP32. Data hasil pengukuran dikirimkan secara real-time ke platform IoT melalui koneksi internet dan divisualisasikan pada dashboard berbasis website. Hasil penelitian menunjukkan bahwa akurasi sensor PMS5003 mencapai 92,81% dan sensor MQ-7 sebesar 95,03%. Analisis regresi digunakan untuk mengevaluasi hubungan antara data yang dihasilkan oleh sensor, sehingga dapat mengukur keakuratan sensor dan memastikan sistem bekerja dengan optimal dalam memantau kualitas udara.

The increasing number of motor vehicles in Indonesia has significantly impacted air quality, particularly in workplace environments such as workshops. This study aims to design and implement an air monitoring and purification system based on the Internet of Things (IoT) at the Akastra Toyota Workshop. The system utilizes an MQ-7 sensor to detect carbon monoxide (CO), a PMS5003 sensor to detect dust particles (PM2.5), and an air purifier controlled by an ESP32 microcontroller. Measurement data is transmitted in real-time to an IoT platform via an internet connection and visualized on a web-based dashboard. The research results show that the accuracy of the PMS5003 sensor reached 92.81%, and the MQ-7 sensor reached 95.03%. The regression analysis was used to evaluate the relationship between the data produced by the sensors, thereby measuring the sensors accuracy and ensuring the system operates optimally in monitoring air quality