SISTEM PRESENSI MAHASISWA BERBASIS FACE DETECTION MENGGUNAKAN ALGORITMA EIGENFACE
| Main Author: | Istiyah, Umi |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | ind |
| Terbitan: |
, 2015
|
| Subjects: | |
| Online Access: |
https://eprints.untirta.ac.id/10623/1/SISTEM%20PRESENSI%20MAHASISWA%20BERBASIS%20FACE.pdf https://eprints.untirta.ac.id/10623/ |
| ctrlnum |
10623 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://eprints.untirta.ac.id/10623/</relation><title>SISTEM PRESENSI MAHASISWA BERBASIS FACE DETECTION MENGGUNAKAN ALGORITMA EIGENFACE</title><creator>Istiyah, Umi</creator><subject>T Technology (General)</subject><subject>TK Electrical engineering. Electronics Nuclear engineering</subject><description>Presence is a process to record the activity of a person in an institution. Computer
applications developed in the presence system is used to recognize a person's face
with a camera without specifying background colors. The aims of this research is
to determine the sensitivity, specificity, and accuracy of an algorithm based image
Eigenface. Eigenface value is obtained based on the image of the webcam and also
the pixel information in the image. Furthermore, the image is represented using
PCA (Principal Componet Analysis) method and the image detected by extracting
the expression and use of accessories in the face area. Presence system in this
research has been successfully carried out various tests such as testing of
expression, accessories, distance, and background colors are free. The research
successfully reached a value is 73.33% for sensitivity, 52.17% for species, and
86.67% for accuracy. Whereas, for identification at a distance is 70%, the use of
goggles and scarf accessories is 85%, and the process of identification with various
expression is 85.33%.</description><date>2015</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><identifier>https://eprints.untirta.ac.id/10623/1/SISTEM%20PRESENSI%20MAHASISWA%20BERBASIS%20FACE.pdf</identifier><identifier> Istiyah, Umi (2015) SISTEM PRESENSI MAHASISWA BERBASIS FACE DETECTION MENGGUNAKAN ALGORITMA EIGENFACE. S1 thesis, Universitas Sultan Ageng Tirtayasa. </identifier><recordID>10623</recordID></dc>
|
| language |
ind |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
Istiyah, Umi |
| title |
SISTEM PRESENSI MAHASISWA BERBASIS FACE DETECTION MENGGUNAKAN ALGORITMA EIGENFACE |
| publishDate |
2015 |
| topic |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url |
https://eprints.untirta.ac.id/10623/1/SISTEM%20PRESENSI%20MAHASISWA%20BERBASIS%20FACE.pdf https://eprints.untirta.ac.id/10623/ |
| contents |
Presence is a process to record the activity of a person in an institution. Computer
applications developed in the presence system is used to recognize a person's face
with a camera without specifying background colors. The aims of this research is
to determine the sensitivity, specificity, and accuracy of an algorithm based image
Eigenface. Eigenface value is obtained based on the image of the webcam and also
the pixel information in the image. Furthermore, the image is represented using
PCA (Principal Componet Analysis) method and the image detected by extracting
the expression and use of accessories in the face area. Presence system in this
research has been successfully carried out various tests such as testing of
expression, accessories, distance, and background colors are free. The research
successfully reached a value is 73.33% for sensitivity, 52.17% for species, and
86.67% for accuracy. Whereas, for identification at a distance is 70%, the use of
goggles and scarf accessories is 85%, and the process of identification with various
expression is 85.33%. |
| id |
IOS3442.10623 |
| institution |
Universitas Sultan Ageng Tirtayasa |
| institution_id |
89 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Sultan Ageng Tirtayasa |
| library_id |
598 |
| collection |
Repository Universitas Sultan Ageng Tirtayasa |
| repository_id |
3442 |
| subject_area |
Administrasi Negara dan Militer Akuntansi Arsitektur |
| city |
KOTA SERANG |
| province |
BANTEN |
| repoId |
IOS3442 |
| first_indexed |
2023-03-04T21:43:05Z |
| last_indexed |
2023-04-29T09:38:21Z |
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dc |
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1764503517170499584 |
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17.538404 |