Development of an Automated Temperature and Humidity Control System Model for the Radiography-Fluoroscopy (R-F) Laboratory of The Radiology Department Based on Internet of Things (IoT) Technology in the Postgraduate Program of Poltekkes Kemenkes Semarang


Authors : Khansa Qonita Ramadhani; Edy Susanto; Gatot Murti Wibowo; Sudiyono; Rasyid

Volume/Issue : Volume 10 - 2025, Issue 8 - August


Google Scholar : https://tinyurl.com/5n8pebxz

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DOI : https://doi.org/10.38124/ijisrt/25aug424

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Abstract : The use of the Internet of Things (IoT) in the healthcare sector, particularly in the field of radiology, can improve quality control, operational efficiency, and patient care. The development of an IoT-based automation system for temperature and humidity control in radiology laboratories aims to address environmental control issues that often require intensive manual repairs and monitoring. The objectives of this study are to evaluate the performance of temperature and humidity control, develop a prototype model of an IoT-based temperature and humidity control automation system, and test the effectiveness of the automation system model in the R-F Room of the Radiology Laboratory at the Semarang Ministry of Health Polytechnic. The research method used a Research and Development (R&D) approach, employing an experimental design with steps including evaluation of the existing system, development of a prototype model, and testing of the model's effectiveness. Data was collected through direct measurement and user surveys. Data analysis was performed using validity and reliability tests and descriptive statistical analysis. The results of the study indicate that the development of an IoT- based temperature and humidity control system is quite effective in controlling environmental parameters in accordance with established standards. Statistical tests show no difference between the temperature and humidity of the room on the HTC 01 device and the IoT. The development of an IoT-based temperature and humidity control automation system developed in this study has been proven effective based on the N-Gain Test and can be applied to improve quality control and operational efficiency in radiology laboratories.

Keywords : Internet of Things (IoT), Automation, Temperature, Humidity, Radiology Laboratory, Quality Control, Operational Efficiency.

References :

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The use of the Internet of Things (IoT) in the healthcare sector, particularly in the field of radiology, can improve quality control, operational efficiency, and patient care. The development of an IoT-based automation system for temperature and humidity control in radiology laboratories aims to address environmental control issues that often require intensive manual repairs and monitoring. The objectives of this study are to evaluate the performance of temperature and humidity control, develop a prototype model of an IoT-based temperature and humidity control automation system, and test the effectiveness of the automation system model in the R-F Room of the Radiology Laboratory at the Semarang Ministry of Health Polytechnic. The research method used a Research and Development (R&D) approach, employing an experimental design with steps including evaluation of the existing system, development of a prototype model, and testing of the model's effectiveness. Data was collected through direct measurement and user surveys. Data analysis was performed using validity and reliability tests and descriptive statistical analysis. The results of the study indicate that the development of an IoT- based temperature and humidity control system is quite effective in controlling environmental parameters in accordance with established standards. Statistical tests show no difference between the temperature and humidity of the room on the HTC 01 device and the IoT. The development of an IoT-based temperature and humidity control automation system developed in this study has been proven effective based on the N-Gain Test and can be applied to improve quality control and operational efficiency in radiology laboratories.

Keywords : Internet of Things (IoT), Automation, Temperature, Humidity, Radiology Laboratory, Quality Control, Operational Efficiency.

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Paper Submission Last Date
31 - December - 2025

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