eprintid: 33056
rev_number: 16
eprint_status: archive
userid: 12
dir: disk0/00/03/30/56
datestamp: 2026-09-30 02:39:12
lastmod: 2026-09-30 02:39:12
status_changed: 2026-09-30 02:39:12
type: thesis
metadata_visibility: show
creators_name: Sari, Nadia Silvia
creators_nim: 22.11.5167
contributors_name: Pradnya D., Windha Mega
corp_creators: Universitas AMIKOM Yogyakarta
title: ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING
(STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT
VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM
OVARIUM POLIKISTIK (PCOS)
ispublished: pub
subjects: 000.000.000A
subjects: 000.000.005
divisions: if
full_text_status: restricted
keywords: Polycystic Ovary Syndrome, Machine Learning, Random Forest,
XGBoost, Support Vector Machine.
date: 2026-05-20
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Sari, Nadia Silvia  (2026) ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING (STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM OVARIUM POLIKISTIK (PCOS).  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/33056/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/2/BAB%20I.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/3/BAB%20II.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/4/BAB%20III.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/5/BAB%20IV.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/6/BAB%20V.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/7/Daftar%20Pustaka%20dan%20Lampiran.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/33056/8/Sourcecode%20-%2022.11.5167.zip
document_url: https://eprints.amikom.ac.id/id/eprint/33056/9/Surat%20Pernyataan%20Publish%20di%20Luar.pdf