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

Universitas Sriwijaya

Author

DEWI, RAHMA PUTRI
Kresnawati, Endang Sri
Zayanti, Des Alwine

Subject

QA273-280 Probabilities. Mathematical statistics 

Datestamp

2023-04-12 02:26:47 

Abstract :
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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RAMA_44201_08011381924108.pdf
RAMA_44201_08011381924108_TURNITIN.pdf
RAMA_44201_08011381924108_0008027701_0004127001_01_front_ref.pdf
RAMA_44201_08011381924108_0008027701_0004127001_02.pdf
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RAMA_44201_08011381924108_0008027701_0004127001_06_ref.pdf
RAMA_44201_08011381924108_0008027701_0004127001_07_lamp.pdf