Sistem Monitoring Kondisi Kesehatan Sebelum dan Sesudah Olahraga Menggunakan Pulse Sensor dan Sensor DS18B20 dengan Metode Naive Bayes

Health Condition Monitoring System Before and After Sports Using Pulse Sensor and DS18B20 Sensor with Naive Bayes Method

  • Islam Hidayah Universitas Mataram
  • I Gede Putu Wirama Wedashwara W Universitas Mataram
  • Ariyan Zubaidi Universitas Mataram
DOI: https://doi.org/10.29303/jcosine.v6i1.353
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Keywords: Intensity, Heart Rate, Body Temperature, Internet of Things, Naïve Bayes

Abstract

Heart rate and body temperature are essential factors that must be considered before exercise is essential to optimize exercise and know the body's condition. The trainer conducts a health check, and management evaluates the exercise results conducted on the athlete. The Internet of Things is the solution provided to facilitate the monitoring of health conditions and measure exercise intensity. Before and after exercise, the health condition monitoring system is designed to determine the user's health condition by measuring heart rate and body temperature as parameters for decision-making by applying the Naïve Bayes method. The Naive Bayes method is rule-based with the python sci-kit-learn programming language and data communication with MQTT. From the study results, the Sports Health condition monitoring system has succeeded in providing monitoring results, condition prediction decisions, and the accuracy of the Naïve Bayes method by 75%.

Published
2022-06-20
Section
Embedded System and Data Communications