Eksperimen Pengenalan Wajah dengan fitur Indoor Positioning System menggunakan Algoritma CNN

Paradigma - Jurnal Komputer dan Informatika

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Field Value
 
Title Eksperimen Pengenalan Wajah dengan fitur Indoor Positioning System menggunakan Algoritma CNN
 
Creator Hartiwi, Yessi
Rasywir, Errissya
Pratama, Yovi
Jusia, Pareza Alam
 
Subject Ilmu Komputer
Face Recognition, IPS, CNN, MSE, Accuraccy
 
Description Facial recognition work combined with the facial owner's position estimation feature can be utilized in various everyday applications such as face attendance with position detection. Based on this, this study offers a system testing experiment that can be run with facial recognition features and an Indoor Positioning System (IPS) to automatically check the location of the owner of the face. Recently, deep learning algorithms are the most popular method in the world of artificial intelligence. Currently, the Deep Learning algorithm toolbox has provided various programming language platforms. Departing from research findings related to deep learning, this study utilizes this method to perform facial recognition. The system we offer is also capable of checking the position or whereabouts of objects using Indoor Positioning System (IPS) technology. Facial recognition evaluation using CNN obtained a maximum value = 92.89% and an accuracy error value of 7.11%. Meanwhile, the average accuracy obtained is 91.86%. In the evaluation of the estimated position tested using DNN, the highest value of r2 score is 0.934, the lowest is 0.930 and an average is 0.932 and the highest value is MSE is 4.578, the lowest is 4.366 and the average is 4.475. This shows that the facial recognition process that is tested is able to produce good values but not the position estimation process. Keywords: Face Recognition, IPS, CNN, MSE, Accuraccy.
 
Publisher Universitas Bina Sarana Informatika
 
Contributor
 
Date 2020-09-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/8906
10.31294/p.v22i2.8906
 
Source Paradigma - Jurnal Komputer dan Informatika; Vol 22, No 2 (2020): Periode September 2020; 109-116
Paradigma - Jurnal Komputer dan Informatika; Vol 22, No 2 (2020): Periode September 2020; 109-116
2579-3500
1410-5063
 
Language eng
 
Relation https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/8906/pdf
 
Rights Copyright (c) 2020 Paradigma - Jurnal Komputer dan Informatika
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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