Computer & Science Industrial Engineering Journal
Vol 11 No 4 (2024): Comasi Vol 11 No 4

PREDIKSI PENYAKIT DIABETES MENGGUNAKAN ALGORITMA REGRESI LOGISTIK

Sugianto (Unknown)
Andi Maslan (Unknown)



Article Info

Publish Date
13 Jan 2025

Abstract

The annual count of individuals afflicted with diabetes is rising. As to a survey carried out by the International Diabetes Federation (IDF), the global diabetes population is approximated to be 537 million by 2021, and this number is projected to increase further to exceed 780 million by 2045. The study's primary goal is to diagnose and forecast whether or not a patient has diabetes. The approach makes use of logistic regression, a statistical tool for modelling individual classifications of diabetes presence or absence. According to the diabetes risk prediction results, 43% of respondents gave consideration to the condition. Consequently, it has been demonstrated that normalisation enhances the accuracy of diabetes risk prediction using logistic regression methods. Based on the variables included, it is anticipated that the predictions made by this model will serve as a guide for the general public in understanding healthy living and diabetes prevention.

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Journal Info

Abbrev

comasiejournal

Publisher

Subject

Computer Science & IT

Description

Journal Comasie is a journal that combines 3 science namely informatics engineering, information systems and industrial engineering. The theme and scope can be seen in the scope section. This journal was created as a means of publicizing the results of research conducted by lecturers and students. ...