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Implementation of Temperature and Humidity Sensors in Preventing Wall Mold in Rooms Based on Internet of Things

Rafly Hidayat Tulloh Wibowo1* , Sujono Sujono2
1*,2 Universitas KH. A. Wahab Hasbullah
* Corresponding Author: Rafly Hidayat Tulloh Wibowo
Published
2025-12-30
Section
Article
Pages
86-99

Abstract

This study presents the design and implementation of an Internet of Things (IoT)-based monitoring system for indoor temperature and humidity using an ESP32 microcontroller and a DHT11 sensor, aimed at preventing wall mold growth in humid environments. The system continuously collects environmental data, transmits it to a Firebase Realtime Database, and visualizes it through a web-based dashboard accessible via desktop or mobile devices. The research was conducted through stages of hardware assembly, software programming, and real-time testing under varying indoor conditions. Experimental results showed that the DHT11 sensor recorded temperature errors ranging from −0.5°C to +0.8°C (1.21%–2.67%) and humidity errors between −2% and +3% RH (2.86%–7.50%), both within acceptable tolerance limits for environmental monitoring. The dashboard effectively displayed temperature and humidity trends, with clear visual cues indicating mold-risk conditions when humidity exceeded 70%. The system achieved a 98% data transmission success rate and operated reliably over continuous 24-hour testing. These findings confirm that the integration of DHT11, ESP32, and Firebase provides a low-cost, stable, and accurate platform for continuous environmental monitoring. The web dashboard enhances user engagement through intuitive visualization and real-time feedback. Future improvements are recommended, including higher-accuracy sensors, automatic notifications, and adaptive control mechanisms for ventilation or dehumidification. Overall, the system demonstrates that IoT-based monitoring can serve as an effective early warning tool for indoor mold prevention and environmental quality management in tropical climates.

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Author Biographies

Rafly Hidayat Tulloh Wibowo Universitas KH. A. Wahab Hasbullah

Informatics Study Program, Universitas KH. A. Wahab Hasbullah, Jombang Regency, East Java Province, Indonesia.

Sujono Sujono Universitas KH. A. Wahab Hasbullah

Informatics Study Program, Universitas KH. A. Wahab Hasbullah, Jombang Regency, East Java Province, Indonesia.

How to Cite

Hidayat Tulloh Wibowo, R., & Sujono, S. (2025). Implementation of Temperature and Humidity Sensors in Preventing Wall Mold in Rooms Based on Internet of Things. Journal Digital Technology Trend, 4(2), 86-99. https://doi.org/10.56347/jdtt.v4i2.365

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References

Total: 19 References
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