eprintid: 8759
rev_number: 8
eprint_status: archive
userid: 11
dir: disk0/00/00/87/59
datestamp: 2024-08-12 04:01:54
lastmod: 2024-08-12 04:01:54
status_changed: 2024-08-12 04:01:54
type: monograph
metadata_visibility: show
contact_email: repository@staff.ukdw.ac.id
creators_name: , I Kadek Dendy Senapartha
creators_name: , Gabriel Indra Widi Tamtama
creators_id: 8908120021
contributors_type: http://www.loc.gov/loc.terms/relators/RTM
contributors_name: , Albertus Adrian Susanto
title: SISTEM DETEKSI WAJAH PALSU MENGGUNAKAN ARSITEKTUR MOBILENETS
ispublished: unpub
subjects: QA75
divisions: tek_informatika
full_text_status: restricted
monograph_type: project_report
abstract: Sistem pengenalan wajah merupakan salah satu metode dalam teknik biometric yang
menggunakan wajah untuk proses identifikasi dan verifikasi seseorang. Teknologi pengenalan
wajah saat ini menjadi booming dikarenakan tidak memerlukan kontak fisik seperti verifikasi
sidik jari. Terdapat dua fase utama dalam sistem biometrik pengenalan wajah otomatis, yaitu
pengenalan wajah palsu (Presentation Attack (PA) detection ) dan pengenalan wajah (face
recognition). Penelitian ini melakukan eksperimen untuk membangun sebuah model
pembelajaran mesin (machine learning) untuk melakukan deteksi wajah palsu ataupun
memverifikasi keaslian wajah yang pengguna menggunakan arsitektur Mobilenets.
Model antispoof wajah dibangun dengan menggunakan arsitektur MobilenetV2 dengan
menambahkan 3 layer neural network yang digunakan sebagai layer klasifikasi. Model dilatih
dengan menggunakan 3 jenis dataset publik, yaitu REPLAY-Mobile, RECOD-MPAD, dan
LLC-FSAD. Kemudian pengujian secara terkontrol dilakukan dengan menggunakan program
komputer menghasilkan nilai HTER 0.17. sedangkan hasil pengujian secara tidak terkontrol
menggunakan aplikasi prototipe Android menghasilkan nilai HTER sebesar 0.21. Dari hasil
pengujian ini menghasilkan selisih nilai HTER sebesar 0.04 yang mengindikasikan bahwa
model antispoof wajah akan memiliki performa yang cenderung menurun bila digunakan
secara real.
date: 2022-11-28
publisher: Program Studi Informatika, Universitas Kristen Duta Wacana
place_of_pub: Yogyakarta
institution: Universitas Kristen Duta Wacana
department: Informatika
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funders: dendy.prtha@staff.ukdw.ac.id
citation:   I Kadek Dendy Senapartha and Gabriel Indra Widi Tamtama  (2022) SISTEM DETEKSI WAJAH PALSU MENGGUNAKAN ARSITEKTUR MOBILENETS.  Research Report (Lecturer). Program Studi Informatika, Universitas Kristen Duta Wacana, Yogyakarta.    (Unpublished)  
document_url: https://katalog.ukdw.ac.id/8759/1/248_PENDAHULUAN_KESIMPULAN.pdf
document_url: https://katalog.ukdw.ac.id/8759/2/248_FULLTEXT.pdf