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Muhammad Wali
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Journal Digital Technology Trend
Published by Yayasan Kawanad
ISSN : 29639190     EISSN : 29638143     DOI : https://doi.org/10.56347/jdtt
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
The Journal Digital Technology Trend is an international journal that promotes the study and interest in Information Systems (IS) and Digital Technologies (DT). The journal will cover in depth and breadth the areas related to IS and digital technologies and techniques. Articles in the journal may be the result of recent research, practice, experience, current issues and debates related to the field. The JDTT will encourage submissions that reflect the broad and interdisciplinary nature of the subject and articles that integrate technology disciplines with social, contextual and management issues, based on research using appropriate research methods and research paradigms and philosophies.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 1 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2026): June 2026" : 1 Documents clear
Sistem IoT untuk Pemantauan Kualitas Udara dalam Ruangan Berbasis Visualisasi Web Real-Time sebagai Pendukung Lingkungan Belajar yang Sehat Hibatullah, Afrad Ilhamul; Sujono, Sujono
Journal Digital Technology Trend Vol. 5 No. 1 (2026): June 2026
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jdtt.v5i1.392

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.  

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