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All Journal TEKNIK INFORMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sistemasi: Jurnal Sistem Informasi Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Jurnal Sistem Cerdas Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Building of Informatics, Technology and Science Journal of Information Systems and Informatics bit-Tech Jurnal ABDINUS : Jurnal Pengabdian Nusantara INFORMASI (Jurnal Informatika dan Sistem Informasi) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Journal of Computer System and Informatics (JoSYC) Budimas : Jurnal Pengabdian Masyarakat International Journal of Advances in Data and Information Systems Infotek : Jurnal Informatika dan Teknologi Jurnal Ilmiah Teknologi Informasi dan Robotika Bulletin of Computer Science Research Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Jurnal Ilmu Komputer dan Informatika Journal of Computer Science and Informatics Engineering Jurnal Nasional Teknologi Komputer Jurnal ADAM : Jurnal Pengabdian Masyarakat JOMPA ABDI: Jurnal Pengabdian Masyarakat Journal of Information System and Artificial Intelligence Jurnal Pengabdian Masyarakat Bangsa Teknomatika: Jurnal Informatika dan Komputer Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Jurnal Pengabdian Kepada Masyarakat Radisi International Journal of Applied Mathematics and Computing. Dharma: Jurnal Pengabdian Masyarakat SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat INOVTEK Polbeng - Seri Informatika Teknologi : Jurnal Ilmiah Sistem Informasi
Setyaningsih, Putry Wahyu
Universitas Mercu Buana Yogyakarta
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Journal : journal of computer science and informatics engineering

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Comparison of SVM and Random Forest with RFE for Diabetes Prediction Anggi Vandryan; Putry Wahyu Setyaningsih
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1838

Abstract

Individuals with a high Body Mass Index (BMI) are among the most vulnerable groups to developing Type 2 Diabetes Mellitus due to insulin resistance caused by visceral fat accumulation. However, most existing machine learning models have been developed using general population data without considering the specific characteristics of high-risk individuals. This study aims to analyze and compare the performance of Support Vector Machine (SVM) and Random Forest (RF) algorithms in predicting diabetes risk among individuals with a BMI ≥ 25, while also evaluating the impact of Recursive Feature Elimination (RFE) on improving model performance. The Pima Indians Diabetes Dataset from the UCI Machine Learning Repository was used as the data source. After filtering records based on BMI, a total of 662 instances were included in the analysis. The preprocessing stage consisted of median imputation for invalid values, feature normalization using StandardScaler, and feature selection using RFE to select four features for each model. The dataset was divided into training and testing sets using a 70:30 ratio. Model performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the RF-RFE model achieved the best performance, with an accuracy of 78%, a recall of 68% for the diabetes class, and an F1-score of 72%, representing a significant improvement over the RF model without RFE (74% accuracy and 60% recall). The combination of Random Forest and Recursive Feature Elimination proved to be the most effective approach for reducing false negatives, which is particularly important in the context of early clinical detection of diabetes
Co-Authors Ahsan, Moh Albert Yakobus Chandra Albert Yakobus Chandra Anggi Vandryan Arisandi, Bustomi Arita Witanti Azfa Mutiara Ahmad Pabulo Azfa Mutiara Ahmad Pabulo, Azfa Mutiara Ahmad Azhari, Ozmar Bambang Sugiantoro Buananta, Septian Eka Ady Budianto, Alexius Endy Bustomi Arisandi Eko Wardianto Fandevi Maitri Francka Sakti Lee Gani, Muhammad Irfan Abdul Ibnu Rivansyah Subagyo Ibrahim, Norshahila Imara Gumilar, Nanang Indah Susilawati Indah Susilawati Irfan Juliardi Saputra Irfan Pratama Korsyawati Nasela, Fera Krisna Widatama M Bastian Maharani Navila Salsa Bela Muhammad Ausathul Fikri Mutaqin Akbar Nabil Fauzan Nabil Fauzan Ozzi Suria Panji Kurniawan Prasetyaningrum, Putri Taqwa Putri Prasetyaningrum Reny Yuniasanti Rizky Kurnia Pratama Septian Eka Ady Buananta Setianingsih, Wahyu Siti Rokhmah Siti Rokhmah Sitompul, Jessica Sandra Subagyo, Ibnu Rivansyah Suharjo, Imam Syeda Azwa Asif Tutut Dewi Astuti Widatama, Krisna Wiryanto, Yusuf Aji Yudi prayudi