eprintid: 31674
rev_number: 10
eprint_status: archive
userid: 12
dir: disk0/00/03/16/74
datestamp: 2026-02-27 02:02:15
lastmod: 2026-02-27 02:02:15
status_changed: 2026-02-27 02:02:15
type: thesis
metadata_visibility: show
creators_name: NUR’AINI, LINNDA PRAWIDYA
creators_nim: 22.11.4853
contributors_name: Rahardi, Majid
corp_creators: Universitas AMIKOM Yogyakarta
title: {JALUR SCIENTIST} DETEKSI KEMATANGAN BUAH KELAPA SAWIT SEGAR MENGGUNAKAN ALGORITMA YOLO12S PADA GAMBAR DIGITAL
ispublished: pub
subjects: 000.000.004
divisions: if
full_text_status: restricted
keywords: Deep Learning, Kematangan TBS, Deteksi Objek, Minyak Kelapa, YOLO12s. FFB Ripeness, Object Detection, Oil Palm.
date: 2025-09-20
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   NUR’AINI, LINNDA PRAWIDYA  (2025) {JALUR SCIENTIST} DETEKSI KEMATANGAN BUAH KELAPA SAWIT SEGAR MENGGUNAKAN ALGORITMA YOLO12S PADA GAMBAR DIGITAL.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/31674/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31674/2/ISI.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31674/3/Source%20Code%20-%2022.11.4853.zip
document_url: https://eprints.amikom.ac.id/id/eprint/31674/4/Surat%20Pernyataan%20Publish%20di%20Luar.pdf