eprintid: 32279
rev_number: 16
eprint_status: archive
userid: 12
dir: disk0/00/03/22/79
datestamp: 2026-07-21 06:33:32
lastmod: 2026-07-21 06:33:32
status_changed: 2026-07-21 06:33:32
type: thesis
metadata_visibility: show
creators_name: Febrian, Niko Yasin
creators_nim: 22.11.4563
contributors_name: Mustopa, Ali
corp_creators: Universitas AMIKOM Yogyakarta
title: PERBANDINGAN YOLOV11 DAN MOBILENET CBAM
UNTUK KLASIFIKASI CITRA REMPAH – REMPAH
INDONESIA
ispublished: pub
subjects: 000.000.000A
subjects: 000.000.004
divisions: if
full_text_status: restricted
keywords: Object detection, Rempah-rempah Indonesia, YOLOv11, MobileNet,
CBAM, Deep learning, Indonesian spices.
date: 2026-02-18
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Febrian, Niko Yasin  (2026) PERBANDINGAN YOLOV11 DAN MOBILENET CBAM UNTUK KLASIFIKASI CITRA REMPAH – REMPAH INDONESIA.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/32279/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/2/BAB%20I.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/3/BAB%20II.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/4/BAB%20III.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/5/BAB%20IV.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/6/BAB%20V.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/7/Daftar%20Pustaka%20dan%20Lampiran.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32279/8/Sourcecode%20-%2022.11.4563.zip
document_url: https://eprints.amikom.ac.id/id/eprint/32279/9/Surat%20Pernyataan%20Publish%20di%20Luar.pdf