Jurnal Sistem Komputer dan Informatika (JSON)
Vol 4, No 4 (2023): Juni 2023

Pemodelan Klasifikasi Untuk Menentukan Penyakit Diabetes dengan Faktor Penyebab Menggunakan Decision Tree C4.5 Pada Wanita

Nining Nur Habibah (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)
Alwis Nazir (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)
Iwan Iskandar (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)
Fadhilah Syafria (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)
Lola Oktavia (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)
Ihda Syurfi (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru)



Article Info

Publish Date
30 Jun 2023

Abstract

Diabetes is closely related to the pancreas, where the pancreas produces the natural hormone insulin, but its function is problematic which causes an increase in blood sugar levels in the body. Rising blood pressure can affect organ function in damaging the function of organs in a person's body such as the kidneys, heart and brain. Where makes a person have a history of diabetes. Diabetes that attacks adults can be prevented through exercise and a regular and healthy diet. According to the International Diabetes Federation (IDF) organization, it is estimated that at least 19.5 million Indonesian people between the ages of 20 and 79 will suffer from diabetes in 2021. China is in first place with diabetes with 140.9 million people. India is next in line with the number of people with diabetes of 74.2 million people. Therefore, early diagnosis is very important because it aims to reduce diabetes and diabetes complications in the future. It is necessary to collect data on patients with diabetes who are expected to be able to do prevention. Therefore applying classification techniques with data mining with the C4.5 algorithm. Where the classification can achieve better accuracy. Algorithm C4.5 is generally used in determining the nodes of a decision tree. Based on the test results, the accuracy is 76.67 percent, the precision is 72 percent, and the recall is 41.67 percent.

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Journal Info

Abbrev

JSON

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

The Jurnal Sistem Komputer dan Informatika (JSON) is a journal to managed of STMIK Budi Darma, for aims to serve as a medium of information and exchange of scientific articles between practitioners and observers of science in computer. Focus and Scope Jurnal Sistem Komputer dan Informatika (JSON) ...