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
Scribd :
https://tinyurl.com/4ed52ykt
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 :
- Y. YIN, Y. Zeng, X. Chen, and Y. Fan, “The internet of things in healthcare: An overview,” J Ind Inf Integr, vol. 1, pp. 3–13, 2016, doi: 10.1016/j.jii.2016.03.004.
- S. Gupta et al., “Radiology, Mobile Devices, and Internet of Things (IoT),” J Digit Imaging, vol. 33, no. 3, pp. 735–746, 2020, doi: 10.1007/s10278-019-00311-2.
- M. Dachyar, Z. J. Azra, and M. Dachyar, “The Maintenance Process Improvement of Radiological Health Equipment, by Utilizing Internet of Things (IoT),” International Journal of Advanced Science and Technology, vol. 29, no. 7s, pp. 3705–3714, 2020, [Online]. Available: https://www.researchgate.net/publication/341966717
- S. R. Ashwini, Chethan, Shivashankar, B. R. Harish, R. Karthik, and K. D. Bafna, “Wireless sensors network for environmental radiation monitoring using IOT,” 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018 - Proceedings, pp. 2373–2376, 2018, doi: 10.1109/RTEICT42901.2018.9012324.
- K. Yu, “STUDY ON TEMPERATURE AND HUMIDITY WIRELESS NETWORK MONITORING SYSTEM OF HOSPITAL,” vol. 100, no. Icoi, pp. 783–786, 2019.
- Peraturan Menteri Kesehatan Republik Indonesia No.24 Tahun 2020 tentang Pelayanan Radiologi Klinik.
- W. Araar, T. Hofacker, and K. Kohlhof, “Developing an IoT-Based Control System for Existing Air Conditioner using MEMS,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing Ltd, Dec. 2019. doi: 10.1088/1757-899X/705/1/012048.
- Humidity Control in Hospitals & Healthcare Facilities. Accessed: Feb. 03, 2024. [Online]. Available: www.bry-air.com
- Cooling Medical X-ray Imaging Equipment. Laird Thermal Systems Application Note (https://www.lairdthermal.com), 2020.
- PermenPANRB Nomor 7 Tahun 2019 tentang Jabatan Fungsional Pranata Laboratorium Pendidikan.
- K. Angraeni and M. S. Putra, “Sistem Monitoring Suhu Lab Komputer Universitas Bina Darma Berbasis IOT Mobile Android Menggunakan Arduino,” Angkasa: Jurnal Ilmiah Bidang Teknologi, vol. 15, no. 2, p. 213, 2023, doi: 10.28989/angkasa.v15i2.1840.
- M. O. Thomas, B. A. Onyimbo, and R. Logeswaran, “Usability Evaluation Criteria for Internet of Things,” International Journal of Information Technology and Computer Science, vol. 8, no. 12, pp. 10–18, Dec. 2016, doi: 10.5815/ijitcs.2016.12.02.
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.