IMPLEMENTATION OF FUZZY LOGIC AND IOT METHODS IN AN ANDROID-BASED HEART RATE HEALTH CONDITION MONITORING APPLICATION

Zidni, Gugum Saefulah (2024) IMPLEMENTATION OF FUZZY LOGIC AND IOT METHODS IN AN ANDROID-BASED HEART RATE HEALTH CONDITION MONITORING APPLICATION. Tugas Akhir thesis, Informatics.

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Abstract

ABSTRACT Heart rate is one of the health indicators that needs to be paid attention to. With several limitations that occur among the community, such as the availability of equipment, limited knowledge, it means that many people have heart rate abnormalities that are difficult to detect early. This research aims to build a system that can be used anytime and anywhere to monitor and determine heart conditions on an ongoing basis. The system was built using the waterfall method starting from the analysis stage, data collection, implementation to the testing stage. This research utilizes Internet of things technology and the fuzzy logic method to carry out health classification by defining linguistic variables, namely BPM (beats per minute), age and also user activity and the defuzzification process to obtain heart rate condition classification results. The results of this research show that this monitoring system has been successfully built according to the design stage, namely in the form of an Android application, then testing was carried out on 14 application functionalities and everything was as expected. This system is also capable of measuring and transmitting heart rate data quickly to the Android application with a heart rate measurement error percentage of 6.6%. Apart from that, the final results also show that the fuzzy logic algorithm was successfully implemented, producing an accuracy of 85%.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 31 May 2024 01:53
Last Modified: 31 May 2024 01:53
URI: http://eprints.uty.ac.id/id/eprint/15712

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