Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit Tht Di Rumah Sakit Mardi Rahayu Kudus


Arif Jumarwanto, - and Rudy Hartanto, - and Dhidik Prastiyanto, FT Pendidikan Teknik Elektro (2009) Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit Tht Di Rumah Sakit Mardi Rahayu Kudus. Jurnal Teknik Elektro, 1 (1). ISSN 2549-1571

[thumbnail of Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit Tht.pdf] PDF - Published Version
Download (268kB)

Abstract

Artificial neural network (ANN) is a modern computing paradigm. That can be used for the pattern recognition and other. Backpropagation is artificial neural network which using hidden layer addition. Computation of artificial neural network through some certain step like training phase and examination. After both the step reached, so a neural network capable to recognize pattern to be entered will be found. The purpose of this research is simulation of artificial neural network that capable to pattern recognition from output of electrocardiogram by helped of MATLAB program. Input of result electrocardiogram record, then input of data can be normalization after that data can be proccesed by backpropagation computing with two step (training phase and examination phase). Output of ANN is like explaning condition of patient is normal, rhinitis kronis or epistaksis

Item Type: Article
Uncontrolled Keywords: rhinitis kronis, epistaksis, artificial neural network
Subjects: T Technology > TK Electrical and Electronic Engineering
Fakultas: Fakultas Teknik > Pendidikan Teknik Elektro, S1
Depositing User: mahargjo hapsoro adi
Date Deposited: 22 Feb 2023 00:54
Last Modified: 22 Feb 2023 00:54
URI: http://lib.unnes.ac.id/id/eprint/56314

Actions (login required)

View Item View Item