Sistem Monitoring Kesehatan Dalam Penentuan Kondisi Tubuh Dengan Metode Fuzzy Mamdani

PROtek : Jurnal Ilmiah Teknik Elektro Pub Date : 2021-09-04 DOI:10.33387/protk.v8i2.3341

Sanyyah Plowerita, A. S. Handayani, Irawan Hadi, Nyayu Latifah Husni

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引用次数: 2

Abstract

In this study, designing a health monitoring system with an Android-based Application of Health Detector (AHD) application. The data displayed is an input for multi-sensor readings from the detection of body health. From the detected health, it will provide a determination of the body's health condition, using the fuzzy mandani algorithm. The variables calculated were age, gender, heart rate, body temperature, systolic blood pressure, diastolic blood pressure, and blood oxygen levels. The stages of the fuzzy mamdani method in determining body health conditions include the formation of fuzzy sets, application of implications functions, and composition of rules. From the results of this study, it was found that the age factor affects health conditions. Older people tend to have indications of health conditions, only some of them have indicated health conditions, and almost all of them have healthy health conditions. The level of accuracy of the fuzzy mamdani method in this study was 85.18%. This is because in this study many variables are used which causes many rules to be made so that they are prone to errors.

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健康监测系统用模糊乳房的方法来诊断身体状况

在本研究中，设计了一个基于android的健康检测器应用程序(AHD)的健康监测系统。显示的数据是来自身体健康检测的多传感器读数的输入。从检测到的健康，它将提供一个确定身体的健康状况，使用模糊曼达尼算法。计算的变量包括年龄、性别、心率、体温、收缩压、舒张压和血氧水平。模糊曼达尼法确定人体健康状况的阶段包括模糊集的形成、蕴涵函数的应用和规则的组成。从本研究的结果来看，年龄因素影响健康状况。老年人往往有健康状况的迹象，只有一部分老年人有健康状况的迹象，几乎所有老年人都有健康状况。本研究模糊马达尼法的准确率为85.18%。这是因为在这项研究中使用了许多变量，这导致了许多规则的制定，因此它们容易出错。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PROtek : Jurnal Ilmiah Teknik Elektro

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