PROTOTYPE ALAT MONITORING KESEHATAN PASIEN DAN PEMANGGIL PERAWAT BERBASIS INTERNET OF THINK (IOT)

Authors

  • Rodo Daniel Politeknik Manufaktur Negeri Bangka Belitung
  • Shafril Muliawan Sukma Politeknik Manufaktur Negeri Bangka Belitung
  • Yudhi Yudhi Politeknik Manufaktur Negeri Bangka Belitung
  • Evvin Faristasari Politeknik Manufaktur Negeri Bangka Belitung

Keywords:

MAX30102 Sensor, RC522 RFID Sensor, Microcontroller, Calling

Abstract

Nurse response systems rely heavily on the speed of information delivery and mobility. However, many hospitals still use wired call systems with static monitors, limiting mobility and delaying quick responses. This study designs an Internet of Things (IoT)-based nurse call system to monitor patient conditions in real-time and send notifications to nurses' smartphones via the Blynk application. The MAX30102 sensor is used to measure patients’ heart rate (BPM) and blood oxygen levels (SpO₂), while the RFID RC522 module records nurse presence. Test results show the system can accurately send notifications and log data, thus improving response time, efficiency, and the overall quality of nursing services.

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References

Azizah, L. N., & Prasetyo, E. (2021). Sistem Monitoring Kesehatan Pasien Berbasis IoT Menggunakan ESP32 dan Aplikasi Blynk. Jurnal Teknik Elektro dan Komputer (JTEK), 10(2), 87–94.

Blynk IoT Platform. (2024). Blynk Documentation. Diakses dari: https://docs.blynk.io

Datasheet MAX30102. (2019). Maxim Integrated Products, Inc. Diakses dari: https://datasheets.maximintegrated.com

Kumar, S., & Singh, A. (2020). Design and Implementation of Heart Rate and SPO2 Monitoring System Using MAX30102. International Journal of Engineering Research & Technology (IJERT), 9(5), 123–127.

Kusuma, A., & Widodo, T. (2019). Implementasi Modul RFID RC522 pada Sistem Absensi Berbasis Mikrokontroler ESP32. Jurnal Teknologi dan Sistem Komputer, 7(4), 213–218.

NodeMCU & ESP32 Community. (2023). ESP32 Technical Reference Manual. Espressif Systems. Diakses dari: https://www.espressif.com/en/support/documents/technical-documents.

Rohman, A. M., & Supriyadi. (2022). Penerapan Sensor MAX30100 pada Sistem Pemantauan Detak Jantung dan Oksigen Pasien Berbasis Internet of Things. Prosiding Seminar Nasional Teknologi dan Rekayasa, 7(1), 55–60.

SparkFun Electronics. (2021). MAX30105 Particle Sensor Hookup Guide. Diakses dari: https://learn.sparkfun.com/tutorials.

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Published

22-08-2025

How to Cite

Daniel, R. ., Sukma, S. M., Yudhi, Y., & Faristasari, E. . (2025). PROTOTYPE ALAT MONITORING KESEHATAN PASIEN DAN PEMANGGIL PERAWAT BERBASIS INTERNET OF THINK (IOT). Prosiding Seminar Nasional Inovasi Teknologi Terapan, 5(1), 109–115. Retrieved from https://snitt.polman-babel.ac.id/index.php/snitt/article/view/639

Issue

Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan

Section

Articles

License

Copyright (c) 2025 Rodo Daniel, Shafril Muliawan Sukma, Yudhi Yudhi, Evvin Faristasari

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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