AJI, SACHIO and Prasetyo, Aditya Putra Perdana and Sari, Winda Kurnia (2025) MPLEMENTASI MONITORING ALAT AIR QUALITY DETECTION (AQD) BERBASIS INTERNET OF THINGS (IoT) DENGAN SENSOR CO2, SUHU DAN KELEMBAPAN DI LINGKUNGAN OUTDOOR. Undergraduate thesis, Sriwijaya University.
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Abstract
Air quality is a crucial factor for maintaining environmental health and comfort, especially in outdoor areas. This study aims to design and implement an air quality monitoring system based on the Internet of Things (IoT) using CO₂ (MQ-135), temperature, and humidity (DHT11) sensors integrated with an ESP32 microcontroller connected to Blynk and Google Sheets platforms. Testing results show that the system can monitor data in real-time, with the DHT11 sensor having an average error of 2.51% for temperature and 1.53% for humidity compared to a Mini Humidity Meter, while the MQ-135 sensor showed an average error of 0.48% compared to a CO₂ Detector. The average data transmission delay to the monitoring platform was 2.1 seconds. The system proved to function according to technical specifications and provides a practical solution for air quality monitoring, where CO₂ concentration, temperature, and humidity are interrelated in determining environmental air quality.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Internet of Things, Pemantauan real-time , Kualitas Udara,. |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics |
Divisions: | 09-Faculty of Computer Science > 56401-Computer Engineering (D3) |
Depositing User: | Sachio Aji |
Date Deposited: | 07 Jul 2025 04:55 |
Last Modified: | 07 Jul 2025 04:55 |
URI: | http://repository.unsri.ac.id/id/eprint/176977 |
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