Sistem IoT untuk Pemantauan Kualitas Udara dalam Ruangan Berbasis Visualisasi Web Real-Time sebagai Pendukung Lingkungan Belajar yang Sehat
Abstract
Indoor air quality plays an important role in students' comfort and academic performance in learning environments. High carbon dioxide (CO₂) concentrations caused by inadequate ventilation can reduce learning concentration. This study aims to develop an Internet of Things (IoT)-based indoor air quality monitoring system using an ESP32 microcontroller and an MQ135 sensor, as well as to analyze the relationship between CO₂ concentration and students' academic performance. The research employed a Research and Development (R&D) approach, with CO₂ concentration data collected every minute from May to October in a classroom environment. The data were processed into monthly averages and compared with students' average academic scores. The results show that the highest average CO₂ concentration occurred in September at 997.78 ppm, accompanied by the lowest average student score of 74.37, while the lowest CO₂ concentration was recorded in July at 712.10 ppm, with an average score of 83.76. The findings indicate a tendency for increased CO₂ concentrations to be followed by a decrease in students' academic performance. The developed system is capable of displaying real-time indoor air quality data through a web-based dashboard and can support the creation of a healthier learning environment.
Author Biographies
Program Studi Informatika, Universitas KH. A. Wahab Hasbullah, Kabupaten Jombang, Provinsi Jawa Timur, Indonesia
Program Studi Informatika, Universitas KH. A. Wahab Hasbullah, Kabupaten Jombang, Provinsi Jawa Timur, Indonesia
How to Cite
License & Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access journal. All articles are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons Attribution 4.0 International (CC BY 4.0)Under this license, you are free to:
- Share: copy, distribute, and transmit the work in any medium or format.
- Adapt: remix, transform, and build upon the work for any purpose, even commercially.
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright and Retention Copyright & Retention Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.References
Total: 16 References- Arya, V. K., Rasheed, E. O., Samarasinghe, D. A. S., & Wilkinson, S. (2024). Comparative analysis of indoor air quality and thermal comfort standards in school buildings across New Zealand with other OECD countries. Buildings, 14(6), 1556. https://doi.org/10.3390/buildings14061556
- Bain-Reguis, N., & Smith, A. (2024). An international review of building standards and guidelines on thermal comfort and ventilation for school buildings. Transdisciplinary Workplace, 402.
- Chaurasia, S., & Jain, P. (2021). Performance analysis of MQ series gas sensors for indoor air quality monitoring using IoT. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 10(5), 2235–2242. https://doi.org/10.15662/IJAREEIE.2021.1005012
- Fan, Y., Cao, X., Zhang, J., Lai, D., & Pang, L. (2023). Short-term exposure to indoor carbon dioxide and cognitive task performance: A systematic review and meta-analysis. Building and Environment, 237, 110331. https://doi.org/10.1016/j.buildenv.2023.110331
- Fitria, L., Wulandari, R. A., Hermawati, E., & Susanna, D. (2008). Kualitas udara dalam ruang perpustakaan universitas "X" ditinjau dari kualitas biologi, fisik, dan kimiawi. Makara Kesehatan, 12(2), 76–82.
Similar Articles
Explore related articles published in this journal.
Implementation of Temperature and Humidity Sensors in Preventing Wall Mold in Rooms Based on Internet of Things
Performance Analysis of the MPU6050 Sensor for Room Inclination Measurement Based on the Internet of Things
Design and Optimization of a Low-Cost DC Electric Motor for IoT-Based Smart Device Applications
Bagaimana Inovasi Teknologi Hijau Menanggapi Tantangan dan Menentukan Dampaknya?
Analysis of E-Commerce Website Service Quality on Customer Satisfaction Using the WebQual 4.0 Method
Most read articles by the same author(s)
Explore other articles by these authors.