The Design of Wireless Medical Devices with Multi-sensor Using Android and iOS-Based Smartphone Displays

##plugins.themes.academic_pro.article.main##

Ade Handayani
Mutiara Amanda
M. Zakuan Agung
Nyayu Latifah Husni
Hertanti Indah Lestari
Moh Heri Kurniawan
Mega Hasanul Huda

Abstract

In this study, a multisensor wireless medical device was designed using several sensors, such as body temperature, oxygen levels, blood pressure, and heart rate, that connects to the application and applies WBAN technology. The design of this tool applied the principle of IoT, where a system that can monitor body health is needed, a remote monitoring system on the smartphone. The data obtained by the tool is sent to the server to be later forwarded to the application. In this study, Fuzzy Mamdani's method was used to implement the health status. The IoT principle makes it effortless for users to access or use pre-designed tools. Therefore, in this study, the IoT principle is employed to make it more efficient and easier for users to read the results because the data will be forwarded to applications installed on users' smartphones, both Android and iOS-based.

##plugins.themes.academic_pro.article.details##

How to Cite
Handayani, A., Mutiara Amanda, M. Zakuan Agung, Nyayu Latifah Husni, Hertanti Indah Lestari, Moh Heri Kurniawan, & Mega Hasanul Huda. (2022). The Design of Wireless Medical Devices with Multi-sensor Using Android and iOS-Based Smartphone Displays. Jurnal E-Komtek, 6(2), 310-321. https://doi.org/10.37339/e-komtek.v6i2.1007

References

[1] Hutasoit Masdalia, “Analisis Sistem Informasi Atas Jasa Pelayanan Medical Check Up Pada Rumah Sakit Umum Daerah Dr. Pirngadi Medan,” Repos. Univ. HKBP Nommensen, no. Maret, pp. 1–36, 2018.
[2] A. Shiddik, A. Taqwa, and A. S. Handayani, “Multi Sensor Untuk Monitoring Kesehatan,” Semin. Nas. Inov. dan Apl. Teknol., pp. 44–49, 2019.
[3] U. Hasanah and Edwita, “Srategi guru dalam meningkatkan healthy lifestyle melalui program literasi hidup sehat,” Pendidik. dasar, vol. 10, no. 2, pp. 24–35, 2019.
[4] R. P. Astutik and R. F. Bakti, “SISTEM MONITORING DETAK JANTUNG BERBASIS LoRa,” E-Link J. Tek. Elektro dan Inform., vol. 15, no. 1, p. 19, 2020, doi: 10.30587/e-link.v15i1.1606.
[5] P. . Puspitaningayu, A. . Widodo, and E. . Yundra, “Wireless Body Area Networks dan Pengaruhnya dalam Perkembangan Teknologi m-Health,” Ina. Indones. J. Electr. Eletronics Eng., vol. 1, no. 1, p. 24, 2018, doi: 10.26740/inajeee.v1n1.p24-30.
[6] P. K. Kusumadani, “Analisis Keamanan Pada Bluetooth Low Energy ( Ble ): Implementasi Di Wireless Body Area Network ( WBAN ) Menggunakan Watchdog Sebagai Instrusion Detection System ( IDS ),” vol. 9, no. 2, pp. 325–330, 2022.
[7] S. Mustaqiim, Ihsan; Taqwa, Ahmad; Handayani, Ade Silvia; Soim, “Perancangan Alat Kesehatan Wireless Body Area Network Multisensor Berbasis Aplikasi Android,” Qua Tek., vol. 11, no. 1, pp. 1–21, 2021.
[8] I. Syahdilla and Susilawati, “Jurnal Ilmiah Multi Disiplin Indonesia Pengaruh Latar Belakang Pendidikan Terhadap Kinerja Dan Produktivitas Tenaga Rekam Medis Dan Informasi Kesehatan,” Humantech, vol. 1, no. 8, pp. 981–986, 2022.
[9] A. S. Handayani, “Application Of Health Detector (AHD) Dalam Mendeteksi Kesehatan Tubuh Berbasis Android,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 8, no. 3, pp. 1470–1482, 2021, doi: 10.35957/jatisi.v8i3.1206.
[10] A. S. Handayani et al., “Analysis of Android-based Body Health Monitoring System Results using Fuzzy Mamdani Method,” Proc. 5th FIRST T1 T2 2021 Int. Conf. (FIRST-T1-T2 2021), vol. 9, pp. 355–362, 2022, doi: 10.2991/ahe.k.220205.063.
[11] S. Plowerita and J. T. Elektro, “Sistem Monitoring Kesehatan Dalam Penentuan Kondisi Tubuh Dengan Metode Fuzzy Mamdani Irawan Hadi Ade Silvia Handayani Nyayu Latifah Husni,” J. Ilm. Tek. Elektro, vol. 8, no. 2, pp. 102–112, 2021.
[12] N. N. H. L. DEWI, “Prototype smart home dengan modul nodemcu esp8266 berbasis internet of things (iot),” 2019, Accessed: Jan. 25, 2022. [Online]. Available: http://repository.unim.ac.id/id/eprint/265.
[13] M. H. Hibatullah, “Pembangunan Aplikasi Sistem Deteksi Kesehatan Sapi Berdasarkan Mata Sapi Berbasis Android - Elibrary Unikom,” 2021. https://elibrary.unikom.ac.id/id/eprint/4877/ (accessed Aug. 06, 2022).