ANALISIS SENSOR MAX30102 PADA PEMBANGUNAN ALAT PENDETEKSI DETAK JANTUNG BERBASIS IOT MENGGUNAKAN METODE STATISTIK

RAHMANDIKA, ADITYA and Ubaya, Huda (2024) ANALISIS SENSOR MAX30102 PADA PEMBANGUNAN ALAT PENDETEKSI DETAK JANTUNG BERBASIS IOT MENGGUNAKAN METODE STATISTIK. Undergraduate thesis, Sriwijaya University.

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Abstract

Internet of Things (IoT) has developed rapidly in the health sector, one of which is the application to detect heart rate and blood oxygen levels using the MAX30102 sensor. This study aims to analyze the accuracy level of the MAX30102 sensor in measuring heart rate and oxygen saturation (SpO2) on an IoT-based detector by comparing it to a standard Pulse Oximeter medical device. Testing was carried out in three conditions: before, during, and after physical activity to measure the stability and accuracy of the device in different environments. The measurement results show that the accuracy level of the MAX30102 sensor is quite high, with an average accuracy value above 85% in all conditions. Although there are variations in error values in several measurements, these results indicate that the MAX30102 sensor has the potential as an alternative health monitoring device that is easily accessible and widely used in the community. These findings are expected to be the basis for the development of more accurate and reliable IoT-based portable health devices.

Item Type:	Thesis (Undergraduate)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA166-167 Human engineering
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Aditya Rahmandika
Date Deposited:	15 Nov 2024 07:34
Last Modified:	15 Nov 2024 07:34
URI:	http://repository.unsri.ac.id/id/eprint/159412

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