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All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Varian Jurnal Bumigora Information Technology (BITe) SOLID Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Djtechno: Jurnal Teknologi Informasi Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Artificial Intelligence and Digital Business Bakti Sekawan : Jurnal Pengabdian Masyarakat Alamtana Prosiding Seminar Nasional CORISINDO
Azhar, Raisul
Program Studi Ilmu Komputer, Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Optimization of Support Vector Machine Using SMOTE and Grid Search for Kidney Health Data Classification Muhammad Maulana; Zulkipli Zulkipli; Tanwir Tanwir; Dading Oktaviadi Resmiranta; Naufal Hanif; Raisul Azhar
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.993

Abstract

Kidney disease is a highly prevalent health problem that can seriously impact the quality of life of those affected. To improve diagnostic accuracy, machine learning methods are widely used to classify patient data. Class imbalance (imbalanced data) is one of the problems that often occurs in the classification process and can affect the performance of machine learning models, especially in detecting minority classes. This study aims to improve the performance of the Support Vector Machine (SVM) algorithm by applying the SMOTE (Synthetic Minority Over-sampling Tech-nique) and Grid Search methods in the data classification process. SMOTE is used to balance the class distribution by adding synthetic data to the minority class, while Grid Search is used to ob-tain optimal model parameters. The results show that the SVM model without handling data im-balance produces relatively low performance with an accuracy value of 51%, precision 17%, re-call 33%, and F1-score 23%. After applying the SMOTE method, the model performance increases significantly to 81% accuracy, 81% precision, 80% recall, and 81% F1-score. Furthermore, the ap-plication of Grid Search to the SVM + SMOTE model provides the best results with an accuracy of 84%, precision 82%, recall 81%, and F1-score 81% with an AUC value of 0,92. The findings of this study indicate that the combination of SMOTE and Grid Search is effective in improving the per-formance of the SVM algorithm in data classification. The novelty of this study demonstrates that data imbalance management and hyperparameter optimization play a crucial role in producing more accurate and optimal classification models.
Co-Authors Afriandi, Mahsus Ahmat Adil Al-Mu’min, Al-Mu’min Alfiansyah, Githa Andi Sofyan Anas Anthony Anggrawan Apriani Apriani Ardani, Awin Hersa Arsa Wisesa, Gde Bagus Aryadita Augustin, Kartarina Azhar, Lalu Zazuli Dadang Priyanto Dading Oktaviadi Resmiranta Daniel Happy Putra Darma, I Made Yadi Edy Satriawan Engelbertus Mite Faisal Faisal Fathurrahman Fathurrahman Hammad, Rifqi Hariyadi, I Putu Hendra Heri Sumantri Husain Husain Husain I Gede Bagus Arthana I Made Yadi Dharma I Made Yadi Dharma I Made Yadi Dharma I Putu Hariyadi I Putu Hariyadi Ikrom, Paizul Kartarina Kartarina Khairan marzuki Khirullah, Zidan Kurniadin Abd Latif Kurniawan Kurniawan Lilik Widyawati Mayadi Mayadi Mayadi Mayadi Mayadi, Mayadi Melati Rosanensi Mia Mubiatma Muhamad Azwar Muhamad Azwar Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Wisnu Alfiansyah Muhammad Azwar Muhammad Maulana Muhammad Munawir Gazali Muliadi Muliadi Naufal Hanif Ni GustiAyu Dastriani Ondi Asroni Qulub, Mudawil Rana, Dwi Sadam Husen Santoso, Heroe Sirojul Hadi Sukatin, Sukatin Sukma, I Gusti Ayu Yunita Suriyati ., Suriyati Suriyati Suriyati Suryati Suryati Suryati Suryati Syahrir, Moch. Tanwir Tanwir Triwijoyo, Bambang Krismono Yayan Suganda Zulfikri, Muhammad Zulkipli Zulkipli Zulkipli Zulkipli