Peningkatan Hasil Klasifikasi pada Algoritma Random Forest untuk Deteksi Pasien Penderita Diabetes Menggunakan Metode Normalisasi

Peningkatan Hasil Klasifikasi pada Algoritma Random Forest untuk Deteksi Pasien Penderita Diabetes Menggunakan Metode Normalisasi

Diabetes is a disease caused by high blood sugar in the body or beyond normal limits. Diabetics in Indonesia have experienced a significant increase, Basic Health Research states that diabetics in Indonesia were 6.9% to 8.5% increased from 2013 to 2018 with an estimated number of sufferers more than...

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Bibliographic Details
Main Authors: Gde Agung Brahmana Suryanegara, Adiwijaya, Mahendra Dwifebri Purbolaksono
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2021-02-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
diabetes, classification, min-max normalization, z-score normalization, random forest.
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/2880

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/2880

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