ZAIDAAN, DZAKI AMRI (2026) ANALISIS KOMPARATIF KINERJA ALGORITMA K-NEAREST NEIGHBOR, SUPPORT VECTOR MACHINE, RANDOM FOREST, DAN XGBOOST UNTUK PREDIKSI RISIKO DIABETES BERBASIS DATA KLINIS STATIS. Undergraduate thesis, UNIVERSITAS DIPONEGORO; FAKULTAS TEKNIK.
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Abstract
Diabetes melitus merupakan penyakit metabolik kronis dengan prevalensi yang terus meningkat di Indonesia, sehingga memerlukan metode deteksi dini yang praktis dan akurat.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | Engineering |
| Divisions: | Faculty of Engineering > Department of Computer Engineering |
| Depositing User: | Mr sholikin FT |
| Date Deposited: | 15 Jul 2026 07:16 |
| Last Modified: | 15 Jul 2026 07:16 |
| URI: | https://eprints2.undip.ac.id/id/eprint/56767 |
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