Fiamalia, Salsabila Mar’atus Sholihah and , Umar, S.T., M. T (2025) Sistem Monitoring Kualitas Udara Ruangan Berbasis IoT Dengan Peringatan Real-Time Melalui Notifikasi Telegram. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Indoor air quality is an important factor that can influence human health and comfort, especially in urban environments and industrial areas which often experience a decline in air quality. In addition, unconscious human activities indoors, such as the use of fuel-burning equipment or chemical products, also have the potential to worsen air quality. Therefore, we need a system that is able to monitor air quality and provide real-time warnings. This research aims to develop an Internet of Things (IoT) based air quality monitoring system that can provide real-time notifications via the Telegram application. This system is designed to detect dangerous gases such as carbon dioxide (CO2), carbon monoxide (CO), LPG gas leaks, and measure room temperature and humidity. This system uses the MQ-135 sensor to detect CO2 gas, the MQ-7 sensor for CO, the MQ-2 sensor for LPG gas leaks, and the DHT22 sensor for temperature and humidity. The ESP32 microcontroller is used as a control center that sends sensor data to telegram. Buzzers and LED lights are used as indicators of air pollution directly on site. Real-time alerts are sent via telegram when gas levels or temperatures exceed preset thresholds, allowing users to take immediate action. The research results show that the system is successful in detecting air pollution and monitoring environmental conditions in real-time. In testing with the MQ-2 sensor, the LPG gas concentration was recorded at 7080 PPM at a distance of 1 cm, activating the red LED and sending a warning notification via Telegram, indicating dangerous air quality. These alerts allow users to immediately respond to detected air quality problems.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Air Quality, MQ-135 Sensor, MQ-7 Sensor, MQ-2 Sensor, DHT22 Sensor, Telegram. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK01 Weak flow |
| Divisions: | Fakultas Teknik > S1 Teknik Elektro |
| Depositing User: | SALSABILA MAR'ATUS SHOLIHAH FIAMALIA |
| Date Deposited: | 10 Feb 2025 01:40 |
| Last Modified: | 10 Feb 2025 01:40 |
| URI: | http://eprints.ums.ac.id/id/eprint/131628 |
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