Data Communication Stability Test a Data Acquisition System (DAQ) for Inpatient Rooms

  • Sentagi Sesotya Utami Department of Nuclear and Physics Engineering, Faculty of Engineering, Universitas Gadjah Mada, Indonesia
  • Winny Setyonugroho Department Hospital Administration, School of Postgraduate, Universitas Muhammadiyah Yogyakarta, Indonesia
  • Iman Permana Department of Nursing, School of Postgraduate, Universitas Muhammadiyah Yogyakarta, Indonesia
  • Tri Lestari Department of Information Technology, Politeknik Negeri Padang, Indonesia
  • Muhammad Dian Saputra Taher Department of Anthropology, Faculty of Cultural Sciences, Universitas Gadjah Mada, Indonesia
  • Gilang Ari Widodo Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia
  • Akhmad Khanif Department of Anthropology, Faculty of Cultural Sciences, Universitas Gadjah Mada, Indonesia


In inpatient services, patient beds are usually limited by curtains or partitions to maintain the patient's safety. At the time of data collection, the barrier or barrier is considered to the effectiveness of the results and validation of medical device sensor data. This study aims to explain the results of the reliability testing of Bluetooth and the internet on hardware and CovWatch applications. This study is action research; comparison is used using devices (tools) with different specifications. Testing internet and Bluetooth connectivity from the CovWatch unit and applications installed on the Samsung A01 devices, Redmi Note 10 and Oppo A57, have mixed results. Hardware CovWatch and Samsung A01 are considered the best in acquiring vital sign data, while Redmi Note 10 and OPPO A57 are not good because some data cannot be obtained so that it does not appear on the monitor unit.


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How to Cite
S. Utami, “Data Communication Stability Test a Data Acquisition System (DAQ) for Inpatient Rooms”, Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, vol. 5, no. 1, pp. 60-65, Feb. 2023.
Research Article