Mohamad, F F and Wiwien, Hadikurniawati Klasifikasi Diabetes Pada Wanita Menggunakan Metode Naive Bayes Classifier. Jurnal Ilmiah Informatika (JIF).
![[thumbnail of Klasifikasi Diabetes Pada Wanita Menggunakan Metode Naive Bayes Classifier.pdf]](/style/images/fileicons/application_pdf.png) |
PDF
Download (1MB) |
Abstract
The report from Riskesdas shows that there is a 2x increase in diabetes every year in Indonesia. This is due to an increase in factors such as human population, age, obesity, irregular eating patterns and lack of physical activity. diabetes in Indonesia must be prevented. 3 to detect the risk factors for diabetes that may occur. Influencing factors include behavioral factors and sociodemographic factors The increase in diabetes in a country is due to late ina factor that cau. The first step in preventing diabetes The increa. identified factors. The number of factors that are collected in order to detect whetherEl person has diabetes or not reguires a fairly large data proc: 1g system. The data used in this study are diabetes data obtained from the Pima Indian Diabetes Database with attributes of pregnant, glucose Baso ic, triceps, insulin, BMI, history of diabetes, age and 300 data output. The Naive Bayes Classifier method can be used to classifv diabetes in women based on pregnant, glucose, diastolie, triceps, insulin, BMI, history of diabetes, age and output. The accuraey result of the Naive Bayes Classifter method in classifving diabetes in women is 84 fo of 300 data which is divided into 2, namely 275 data as training data and 25 data as test data...
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Faculty / Institution: | Fakultas Teknologi Informasi |
| Depositing User: | Fakultas Ekonomi |
| Date Deposited: | 11 Oct 2022 03:40 |
| Last Modified: | 11 Oct 2022 03:40 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/8867 |
Actions (login required)
 |
View Item |
