Skripsi

KLASIFIKASI METODE NAIVE BAYES DAN DECISION TREE ALGORITMA INTERATIVE DICHOTOMISER THREE(ID3) PADA PENYAKIT DIABETES.

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Penilaian

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Diabetes mellitus (DM) is a disorder of carbohydrate metabolism, in which glucose cannot be used properly, which can cause hyperglycemia. Hyperglycemia is a condition in which diabetes mellitus (DM) is not controlled in the body and results in very high blood glucose levels reaching more than 300 mg/dl. According to data from the International Diabetes Federation (IDF) for 2019, the number of diabetics in Indonesia will continue to increase from 10.7 million to 19.5 million in 2021. can see the level of accuracy of diabetes. In this study using secondary data obtained from Kaggle.com with a total dataset of 520 with 17 variables, the prediction of diabetes classification using the Naïve Bayes method and the Iterative Dichotomizer Three (Id3) algorithm. The results of this study obtained an accuracy rate of the Naïve Bayes method of 88.46% recall 86.46% and precision 94.32% while in the Iterative Dichotomizer Three (Id3) algorithm the accuracy was 95.51% recall 95.83% and precision 96, 84%. Keywords: diabetes, Naïve Bayes, algoritma Iterative Dichotomiser Three (Id3) algorithm.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001832	T95610	T956102023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T956102023

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2023

Collation

viii, 40 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

518.107

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Algoritma
Prodi Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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