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UEU » Undergraduate Theses » Manajemen Informasi Kesehatan Posted by [email protected] at 18/02/2025 11:27:19 • 9 Views
ANALISIS PREDIKSI KELAHIRAN BAYI PREMATUR
MENGGUNAKAN METODE DECISION TREE
DI RSUD KEMBANGANCreated by :
PUTRI LAILATUL ROSIDA ( 20200304093 )
Subject: | PREDIKSI KELAHIRAN BAYI PREMATUR DECISION TREE RSUD
| Alt. Subject : | PREDICTION PREMATURE BIRTH DECISION TREE RSUD | Keyword: | Decision Tree Kelahiran Prematur Prediksi. |
Description:
Kelahiran bayi prematur merupakan salah satu penyebab morbiditas dan
mortalitas utama selama periode neonatus. Kelahiran bayi prematur di Indonesia
masih menjadi salah satu kasus yang sangat tinggi. Di RSUD Kembangan kelahiran
bayi prematur bertambah dari tahun ketahun pada tahun 2019 berjumlah 70, pada
tahun 2020 berjumlah 127 dan 2021 berjumlah 153. Tujuan penelitian ini adalah
melakukan prediksi kelahiran bayi prematur dengan implementasi decision tree,
dengan jenis penelitian analisis pediktif. Populasi dalam penelitian ini yaitu pasien
ibu hamil dari periode Januari 2020 s/d Desember 2021, dengan jumlah sampel 350
data pasien ibu hamil dengan variabel yang diteliti Usia, IMT, Keputihan/Infeksi,
Riwayat Keguguran, Riwayat Prematur dan Jarak Kehamilan. Teknik pengambilan
sampel yaitu purposive sampling. Pengumpulan data menggunakan telaah
dokumen. Hasil yang diperoleh adalah Indeks Massa Tubuh (IMT) merupakan
variabel tertinggi terhadap kelahiran bayi prematur dan decision tree menghasilkan
AUC 91,7% dapat disimpulkan bahwa decision tree memiliki nilai akurasi good
classification.
Contributor | : |
- Mieke Nurmalasari, S.Si, M.Si M.Sc
| Date Create | : | 18/02/2025 | Type | : | Text | Format | : | PDF | Language | : | Indonesian | Identifier | : | UEU-Undergraduate-20200304093 | Collection ID | : | 20200304093 |
Source : Undergraduate Theses of Health Information Management
Relation Collection: Fakultas Ilmu-Ilmu Kesehatan
Coverage : Civitas Akademika Universitas Esa Unggul
Rights : @2025 Perpustakaan Universitas Esa Unggul
Publication URL : https://digilib.esaunggul.ac.id/analisis-prediksi-kelahiran-bayi-prematurmenggunakan-metode-decision-treedi-rsud-kembangan-37426.html
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