eprintid: 31896
rev_number: 15
eprint_status: archive
userid: 12
dir: disk0/00/03/18/96
datestamp: 2026-07-03 01:53:43
lastmod: 2026-07-03 01:53:43
status_changed: 2026-07-03 01:53:43
type: thesis
metadata_visibility: show
creators_name: Ramadhani, Muhamad Akbar Baihaqqy
creators_nim: 22.83.0866
contributors_name: Ariyus, Dony
corp_creators: Universitas AMIKOM Yogyakarta
title: IMPLEMENTASI METODE CONVOLUTIONAL NEURAL
NETWORK (CNN) DENGAN ARSITEKTUR XCEPTIONNET
UNTUK DETEKSI ARTEFAK SPASIAL PADA VIDEO
DEEPFAKE
ispublished: pub
subjects: 000.000.000A
divisions: tk
full_text_status: restricted
keywords: Deepfake, Deep Learning, XceptionNet, MTCNN, Forensik Digital.
date: 2026-02-19
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Ramadhani, Muhamad Akbar Baihaqqy  (2026) IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR XCEPTIONNET UNTUK DETEKSI ARTEFAK SPASIAL PADA VIDEO DEEPFAKE.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/31896/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/2/BAB%20I.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/3/BAB%20II.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/4/BAB%20III.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/5/BAB%20IV.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/6/BAB%20V.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/7/Daftar%20Pustaka%20dan%20Lampiran.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31896/8/Sourcecode%20-%2022.83.0866.zip
document_url: https://eprints.amikom.ac.id/id/eprint/31896/9/Surat%20Pernyataan%20Publish%20di%20Luar.pdf