Infotek : Jurnal Informatika dan Teknologi
Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi

Komparasi Metode Klasifikasi Data Mining Decision Tree dan Naïve Bayes Untuk Prediksi Penyakit Diabetes

Permana, Baiq Andriska Candra (Universitas Hamzanwadi)
Patwari, Intan Komala Dewi (Unknown)

Article Info

Publish Date
28 Jan 2021

Abstract

Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers

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Journal Info
Infotek : Jurnal Informatika dan Teknologi
Website

Abbrev

infotek

Publisher

Universitas Hamzanwadi

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

INFOTEK Jurnal Informatika dan Teknologi Fakultas Teknik Universitas Hamzanwadi selanjutnya disebut Jurnal Infotek (e-ISSN: 2614-8773) merupakan Jurnal yang dikelola oleh Fakultas Teknik Universitas Hamzanwadi yang mempublikasikan artikel ilmiah hasil penelitian atau kajian teoritis (invited ...