đ
02 February 2026
DOI: 10.30787/restia.v4i1.2096
Artificial Neural Network-Based Diabetes Prediction Analysis Using CDC Diabetes Health Indicators Data: Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators
Jurnal Riset Sistem dan Teknologi Informasi
Universitas 'Aisyiyah Surakarta
đ Abstract
Diabetes mellitus is a chronic disease with increasing prevalence and requires effective early detection efforts. This study aims to develop a diabetes risk prediction model using an Artificial Neural Network (ANN) based on non-laboratory health indicators. The dataset used is the CDC Diabetes Health Indicators with a large amount of data and characteristics of classes that are not fully balanced. The research stages include data preprocessing that includes handling missing values, encoding categorical data using one-hot encoding, normalization of numerical features, and analysis of the target class distribution. The ANN model was trained using a Multilayer Perceptron architecture with dropout regularization and L2 penalty and AdamW optimization. The evaluation results show that the model achieved an accuracy of 86.45%, a precision of 85.2%, a recall of 82.7%, and an AUC-ROC value of 0.89. Although the accuracy is in the medium range for a large dataset, the high AUC value indicates excellent model discrimination ability. This performance is affected by the limited number of non-laboratory features used and the imbalanced class distribution. The findings of this study indicate that ANN based on simple health indicators has the potential to be used as a diabetes risk screening tool in primary healthcare. Further research is recommended to apply class balancing techniques, model interpretability analysis, and external validation in the Indonesian population.
đ Keywords
#Diabetic; Artificial Neural Network; Prediction; Health Indicators; Machine Learning; Diabetes; Artificial Neural Network; Prediksi; Indikator Kesehatan; Deep Learning
âšī¸ Informasi Publikasi
Tanggal Publikasi
02 February 2026
Volume / Nomor / Tahun
Volume 4, Nomor 1, Tahun 2026
đ HOW TO CITE
Dwi, Dodi Dwi Riskianto; Afandi, Muhammad; Ramadhan, M. Raihan; Sudriyanto, Sudriyanto, "Artificial Neural Network-Based Diabetes Prediction Analysis Using CDC Diabetes Health Indicators Data: Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators," Jurnal Riset Sistem dan Teknologi Informasi, vol. 4, no. 1, Feb. 2026.
ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
0
Sitasi
Cek Google Scholar