ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING (STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM OVARIUM POLIKISTIK (PCOS)

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.

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Item Type: Thesis (S1 - Sarjana)
Contributor:
Pembimbing
Pradnya D., Windha Mega
Uncontrolled Keywords: Polycystic Ovary Syndrome, Machine Learning, Random Forest, XGBoost, Support Vector Machine.
Subjects: 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum
000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 005 Pemrograman komputer, program dan data
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: RC Universitas AMIKOM Yogyakarta
Date Deposited: 30 Sep 2026 02:39
Last Modified: 30 Sep 2026 02:39
URI: http://eprints.amikom.ac.id/id/eprint/33056

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