SISTEM DETEKSI TINGKAT KESEHATAN TUBUH MANUSIA DI WBAN (WIRELESS BODY AREA NETWORK) DENGAN MENGGUNAKAN METODE FUZZY MAMDANI BERBASIS ARDUINO

SAMOSIR, ANDREAS and Malik, Reza Firsandaya (2019) SISTEM DETEKSI TINGKAT KESEHATAN TUBUH MANUSIA DI WBAN (WIRELESS BODY AREA NETWORK) DENGAN MENGGUNAKAN METODE FUZZY MAMDANI BERBASIS ARDUINO. Undergraduate thesis, Sriwijaya University.

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Abstract

Wireless Body Area Network (WBAN) is a part of the development of network communication with the potential and great benefits in the field of health-based technology, which is an option in the advancement of healthcare monitoring. In this research author devise a health level detection system with WBAN capability in health-level monitoring designed using the Fuzzy logic of Mamdani type to obtain analysis results from the health level Human. Each of the nodes has three sensors which are the MAX30100 sensors to detect heart rate and blood oxygen levels, as well as the LM35 sensor for temperature as variables enter the fuzzy logic. Each sensor is directly paired to the body of the monitored object. The system works by collecting sensor data on each node, then sending that data through the server using the local network in the sink. Data received by the server is subsequently processed using fuzzy logic. The test results are displayed in the monitoring time display, the result of each sensor, the graph of each sensor and the result of a fuzzy logic calculation consisting of three parts, namely normal, healthy, and painful conditions.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Wireless body area network, fuzzy logic of mamdani, human body health level detection, max30100, lm35,arduino
Subjects:	R Medicine > R Medicine (General) > R855-855.5 Medical technology T Technology > T Technology (General) > T10.5-11.9 Communication of technical information
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 417 not found.
Date Deposited:	30 Jul 2019 06:50
Last Modified:	30 Jul 2019 06:50
URI:	http://repository.unsri.ac.id/id/eprint/1264

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