Abstract

Sistem Internet of things (IoT) menyediakan data secara real-time dengan tingkat akurasi yang tinggi yang dapat memonitoring suhu, kelembaban dan kadar CO2 di udara yang diintegrasikan dengan aplikasi mobile, dan dashboard online. Penelitian ini, dibangun sistem monitoring suhu, kelembaban dan kadar CO2 di udara. Sistem monitoring ini terhubung dengan platform Blynk IoT sehingga data suhu, kelembaban dan kadar CO2 di udara dapat diakses dari mana saja dan kapan saja selama perangkat terhubung ke jaringan internet. Sensor MQ132 digunakan untuk mendeteksi kadar CO2 di udara, sementara sensor DHT22 digunakan untuk membaca suhu dan kelembaban. Mikrokontroler yang digunakan adalah ESP32, yang akan menghubungkan sensor dengan Blynk IoT. Data yang terbaca oleh sensor kemudian ditampilkan pada aplikasi dan website Blynk IoT dalam bentuk gauge dan grafik. Grafik pada aplikasi Blynk IoT dapat menampilkan data historis dalam berbagai rentang waktu, seperti data 15 menit terakhir, 30 menit terakhir, 1 jam terakhir, 1 hari terakhir, 1 minggu terakhir, dan 1 bulan terakhir. The Internet of Things (IoT) system provides real-time data with high accuracy that can monitor temperature, humidity, and CO2 levels in the air, integrated with mobile applications and online dashboards. In research, a monitoring system for temperature, humidity and CO2 levels in the air was built. This monitoring system is connected to the Blynk IoT platform so that data on temperature, humidity and CO2 levels in the air can be accessed from anywhere and at any time as long as the device is connected to the internet network. The MQ132 sensor is used to detect CO2 levels in the air, while the DHT22 sensor is used to read temperature and humidity. The microcontroller used is ESP32, which will connect the sensor with Blynk IoT. The data read by the sensors is then displayed on the Blynk IoT application and website in the form of gauges and graphs. Graphs in the Blynk IoT application can display historical data in various time frames, such as data for the last 15 minutes, last 30 minutes, last 1 hour, last 1 day, last 1 week, and last 1 month.

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