%A Nadia Silvia Sari
%D 2026
%L universitasamikomyogyakarta33056
%K Polycystic Ovary Syndrome, Machine Learning, Random Forest,
XGBoost, Support Vector Machine.
%I Universitas AMIKOM Yogyakarta
%T ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING
(STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT
VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM
OVARIUM POLIKISTIK (PCOS)