eprintid: 31640
rev_number: 10
eprint_status: archive
userid: 12
dir: disk0/00/03/16/40
datestamp: 2026-02-25 04:05:19
lastmod: 2026-02-25 04:05:19
status_changed: 2026-02-25 04:05:19
type: thesis
metadata_visibility: show
creators_name: PRAMONO, ALDI YOGIE
creators_nim: 22.11.4840
contributors_name: -, Kusnawi
corp_creators: Universitas AMIKOM Yogyakarta
title: {JALUR SCIENTIST} MULTI-CLASS FACIAL ACNE CLASSIFICATION USING THE EFFICIENTNETV2-S DEEP LEARNING MODEL
ispublished: pub
subjects: 000.000.003
divisions: if
full_text_status: restricted
keywords: deep learning, convolutional neural network, EfficientNetV2-S, klasifikasi jerawat, transfer learning.
date: 2025-11-24
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   PRAMONO, ALDI YOGIE  (2025) {JALUR SCIENTIST} MULTI-CLASS FACIAL ACNE CLASSIFICATION USING THE EFFICIENTNETV2-S DEEP LEARNING MODEL.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/31640/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31640/2/ISI.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31640/3/Source%20Code%20-%2022.11.4840.zip
document_url: https://eprints.amikom.ac.id/id/eprint/31640/4/Surat%20Pernyataan%20Publish%20di%20Luar.pdf