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Design and Development of an IoT-Based Blood Oxygen Level DetectionDevice for Real-Time Monitoring Desriyanti Desriyanti; silvya berlian; Thoha Ilyasa
Diagnosa Vol. 2 No. 1 (2026)
Publisher : CV, Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/wtxyrt39

Abstract

Pemantauan kadar oksigen darah (SpO₂) merupakan indikator penting dalam mengetahui kondisikesehatan, khususnya sistem pernapasan. Penelitian ini bertujuan untuk merancang dan membangunalat pendeteksi kadar oksigen darah berbasis Internet of Things (IoT) yang mampu melakukanpengukuran secara real-time. Sistem menggunakan sensor MAX30102 sebagai pendeteksi SpO₂,mikrokontroler NodeMCU ESP32 sebagai pengolah dan pengirim data, serta layar OLED 0,96 inchsebagai tampilan lokal. Metode penelitian meliputi perancangan perangkat keras, pemrogramanperangkat lunak, dan pengujian fungsional sistem. Hasil pengujian menunjukkan bahwa alat mampumendeteksi dan menampilkan nilai SpO₂ secara real-time dengan baik pada kondisi pengukuran yangsesuai. Dengan demikian, alat ini berpotensi digunakan sebagai perangkat monitoring kadar oksigendarah berbasis IoT yang sederhana dan mudah digunakan.
SF51 Footstep-Based Piezoelectric Power Generation System with Power Monitoring Through IoT: Sistem Pembangkit Listrik dari Langkah Kaki Berbasis Piezoelektrik dengan Monitoring Daya Melalui IoT Silvya Berlian
SinarFe7 Vol. 8 No. 1 (2026): Sinarfe7-8 2026
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing demand for electrical energy has encouraged the development of environmentally friendly alternative energy generation technologies, including the utilization of piezoelectric materials capable of converting mechanical energy generated by footstep pressure into electrical energy. This study aims to design and develop a piezoelectric-based electrical energy generation system with power monitoring through the Internet of Things (IoT). The designed system consists of several main components, including a series-parallel piezoelectric array, bridge rectifier, capacitor, TP4056 module, 18650 lithium-ion battery, INA219 sensor, ESP32 microcontroller, and Blynk application for real-time monitoring of voltage, current, and power. The experiments were conducted by varying the applied load and the number of footsteps to investigate the effect of mechanical pressure on the electrical output of the system. The results show that variations in load and the number of footsteps affect the electrical output, with greater load and more frequent footstep pressure tending to increase the amount of electrical energy that can be harvested. In the load variation test, the highest average output was obtained at a load of 80 kg, with a voltage of 3.266 V, current of 0.52 mA, and power of 1.698 mW. The IoT-based monitoring system was able to display voltage, current, and power parameters in real time. Therefore, the developed piezoelectric-based electrical energy generation system can utilize pressure generated by walking activities to produce electrical energy while monitoring electrical parameters through IoT, providing an alternative small-scale electrical energy source.