IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images

Isnaini Nurwahyuni ; Jessica Juan Pramudita ; Dwi Rochmayanti
Journal of Health Sciences, Public Health and Phar... 📅 2026 Vol 3, No 1 🔗 DOI: 10.70062/globalhealth.v3i1.309
Abstract
This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.
Keywords
Air Quality; IoT System; Patient Safety; Radiology Department; Sensor Accuracy
How to Cite

Isnaini Nurwahyuni, et al. (2026). IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images. Journal of Health Sciences, Public Health and Pharmacy, 3(1). https://doi.org/10.70062/globalhealth.v3i1.309

Isnaini Nurwahyuni; Jessica Juan Pramudita; Dwi Rochmayanti, "IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images," Journal of Health Sciences, Public Health and Pharmacy, vol. 3, no. 1, 2026.

Isnaini Nurwahyuni; Jessica Juan Pramudita; Dwi Rochmayanti. "IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images." Journal of Health Sciences, Public Health and Pharmacy, vol. 3, no. 1, 2026.

Isnaini Nurwahyuni; Jessica Juan Pramudita; Dwi Rochmayanti. "IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images." Journal of Health Sciences, Public Health and Pharmacy 3, no. 1 (2026).

Isnaini Nurwahyuni, et al. (2026) 'IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images', Journal of Health Sciences, Public Health and Pharmacy, 3(1). doi: 10.70062/globalhealth.v3i1.309.

Isnaini Nurwahyuni; Jessica Juan Pramudita; Dwi Rochmayanti. IoT-Based Air Quality Design in Digital Diagnostic Rooms With Udaraku Mobile Application as Noise Control in Digital Radiography Images. Journal of Health Sciences, Public Health and Pharmacy. 2026;3(1).

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