Petir
Vol 13 No 1 (2020): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)

Penerapan Metode K-Means Dan C4.5 Untuk Prediksi Penderita Diabetes

Andika Prasatya (Unknown)
Riki Ruli A. Siregar (Unknown)
Rakhmat Arianto (Politeknik Negeri Malang)

Article Info

Publish Date
22 Mar 2020

Abstract

The purpose of this study is to predict HbA1c in diabetics. The obstacles behind the prediction of HbA1c is the limitations in the laboratory to provide services for diabetics regarding HbA1 check-up. HbA1c prediction is made by a combination of K-Means and C4.5 methods. K-Means is used to classify continuous data. From the results of the K-Means classification will be used by C4.5 to create a rule (decision tree). The prediction results obtained will be carried out as a validation process to determine the level of accuracy by using K-Fold Cross-Validation. The accuracy value obtained is 72%. The resulting benefit from the prediction of HbA1c can be used as an alternative solution to overcome limitations in the laboratory in terms of HbA1c check-up servicing and the results of HbA1c prediction can also be used as a recommendation by doctor in determining the medical decision for diabetics.

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Journal Info
Petir
Website

Abbrev

petir

Publisher

Sekolah Tinggi Teknik PLN

Subject

Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Journal Petir is a scientific journal published by STT-PLN Department of Information Engineering since 2007, as a media for disseminating research results, Library Study Technique, Observation Result, Surveying Survey, STT-PLN Department of Informatics Engineering and Supporting Science Development ...