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Abstract
Perkembangan teknologi Internet of Things (IoT) mendorong pengembangan perangkat kesehatan yang mampu melakukan pemantauan kondisi fisiologis secara jarak jauh. Penelitian ini bertujuan mengembangkan sistem monitoring saturasi oksigen dan denyut jantung berbasis IoT menggunakan NodeMCU ESP8266 dan sensor MAX30102. Sistem dirancang untuk mengukur saturasi oksigen dan denyut jantung, menampilkan hasil pada Liquid Crystal Display (LCD), serta mengirimkan data ke aplikasi Blynk melalui internet. Metode penelitian menggunakan Research and Development (R&D) yang meliputi analisis kebutuhan, perancangan, integrasi, dan pengujian sistem. Hasil pengujian menunjukkan sistem mampu melakukan pengukuran dan pengiriman data secara waktu nyata dengan nilai rata-rata saturasi oksigen sebesar 95,04% dan denyut jantung 81,12 BPM. Sistem yang dikembangkan berpotensi menjadi perangkat pendukung pemantauan kesehatan mandiri.
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Copyright (c) 2026 Muhammad Yusuf Fadilla, Ibrahim, Rafif, Hazri
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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References
M. Islam, S. Nooruddin, F. Karray, G. Muhammad, and S. Member, “Internet of Things Device Capabilities , Architectures , Protocols , and Smart Applications in Healthcare Domain : A Review,” vol. XX, no. Xx, pp. 1–27.
Junqi Mao, “Healt Monitoring System Base on Flexible Triboelectric Sensor For Intelligence Medical Internet of Tings and its Application in Virtual Reality,” pp. 1–31.
J. Juhaeriyah and R. Wulandari, “Design of Health Monitoring System Based on Internet of Things ( IoT ): ESP8266 and Study Literature Software design Hardware design Testing Collecting Data Analysis Conclucions,” vol. 6, no. 2, pp. 1–6, 2023, doi: 10.32877/bt.v6i2.1036.
M. Muthmainnah and D. B. Tabriawan, “Prototipe Alat Ukur Detak Jantung Menggunakan Sensor MAX30102 Berbasis Internet of Things ( IoT ) ESP8266 dan Blynk,” vol. 7, no. 3, pp. 163–176, 2022.
Y. Inayatullah, A. H. Ginting, and S. Y. Doo, “Rancang Bangun Sistem Monitoring Detak Jantung Dan Saturasi Oksigen Menggunakan Oximeter Max30102,” vol. 1, no. 2, pp. 53–58, 2025.
R. Islam, M. Kabir, M. F. Mridha, and S. Alfarhood, “Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time,” pp. 1–18, 2023.
E. R. Bugis, A. C. N. Aidha, D. Yama, and H. Kumarajati, “ALAT MONITORING DETAK JANTUNG PORTABLE MENGGUNAKAN SENSOR MAX30102,” vol. 12, no. 3, 2024.
U. Surapati, D. I. Mulyana, D. Gunawan, and A. Purnama, “International Journal of Applied Development of an IoT-Based Smart Health Monitoring System with Heart Attack Prediction Using the SVM ( Support Vector Machine ) Algorithm,” 2025.
U. A. Contardi, M. Morikawa, B. Brunelli, and D. V. Thomaz, “MAX30102 Photometric Biosensor Coupled to ESP32-Webserver Capabilities for Continuous Point of Care Oxygen Saturation and Heartrate Monitoring †,” pp. 1–5, 2022.
Nurfadilah, A. Budianto, K. Al Hadi, S. Rahayu, and K. Hasanah, “Pengujian Performa Sensor MAX30102 dengan Komparator Standar Klinis,” vol. 6, no. 2, 2025.