Article Per Year (5 Year)
p-Index From 2021 - 2026
2.419
P-Index
This Author published in this journals
All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Building of Informatics, Technology and Science Lumbung Farmasi : Jurnal Ilmu Kefarmasian Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) Journal of Law, Administration, and Social Science El-Jughrafiyah : Jurnal Geografi dan Terapannya ProBisnis : Jurnal Manajemen Jurnal Ilmiah Bisnis dan Perpajakan (Bijak) International Journal of Multidisciplinary Research and Literature (IJOMRAL) Tarling : Journal of Language Education JUDGE: Jurnal Hukum BATOBO: Jurnal Pengabdian Kepada Masyarakat Jurnal Riset Ilmiah Scientific Journal of Informatics IPSSJ Educommunity Jurnal Pengabdian Masyarakat
Salsabila, Aulia
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Scientific Journal of Informatics

 1 
Optimizing Early Breast Cancer Classification Using Hybrid SVM-ANN with Ridge Embedded Feature Selection Priyanta, Sigit; Selvyana, Dita Ria; Salsabila, Aulia
Scientific Journal of Informatics Vol. 13 No. 1: February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v13i1.36676

Abstract

Purpose: This study aims to enhance early breast cancer detection by systematically evaluating multiple machine learning (ML) algorithms and feature selection strategies. The goal is to identify the most effective combination of classifiers and feature selection methods for accurately distinguishing malignant from benign breast tumors, thereby improving diagnostic reliability and clinical decision support. Method: The Wisconsin Breast Cancer Dataset containing 699 samples described by nine diagnostic features was used. Tumor classes were encoded as 0 (malignant) and 1 (benign). The analysis was conducted in two stages. First, five ML algorithms—K-Nearest Neighbors (KNN), Logistic Regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), and a hybrid SVM–ANN—were evaluated to establish baseline performance. Second, two feature selection approaches (wrapper and embedded) were applied to four ML models and the optimized hybrid classifier. The embedded approach employed Ridge-based feature selection to identify the most discriminative attributes and improve model generalization. Results: The hybrid SVM–ANN combined with Ridge Embedded feature selection achieved the best performance, with an accuracy of 97.86%, precision of 96.5%, recall of 96.5%, and an F1-score of 96%. This configuration outperformed all other algorithms and feature selection techniques, affirming the effectiveness of hybrid integration and embedded feature optimization. Novelty: The novelty lies in the integration of an SVM–ANN hybrid model with Ridge-based embedded feature selection for breast cancer classification. Unlike prior works that rely primarily on conventional filter or wrapper techniques, this approach demonstrates superior accuracy and robustness. The proposed framework provides a promising pathway for developing more reliable ML-based diagnostic tools in oncology.
Co-Authors Aji, Azahra Wulandari Ali Amran Anfasa Mashudi, Fristio Anita Desiani Anwar, Muhammad Saidun Arief Rafsanjani Asna, Hilmiatun Aulana, Muhammad Saukhan Ayuningsih, Wulandari Bambang Suprihatin Bella Parina, Ana Candra, Mardi Efendi, Apriyani Elvi Khairani, Mai Fauziah, Marsyah Franciska, Wira Gulo, Yuspikarni Harahap, Amru Akbar Hardini, Farantika Dwi Hery Widijanto Huda, Miftahu Inayah, Lailatul Indra Maiyanti, Sri Irmayanti Irmayanti, Irmayanti Kamil, Mutia Kembaren, Rezia Gloria Khasanah, Aulia Afiliyah Kurniawan Putri, Nurafika Kustiawan, Unggul Lusiana, Zevi Marselina, Nyanyu Chika Milasari, Iin Muazis, Agil Muhammad Arif Nasution, Marnis Neni Frimayanti Nur Awaliah, Hanifah Nur Fadillah, Nadil Pratama , Yoga Putra, Aditya Amarta Putra, Mulhadi Qurnia Pratiwi, Putri Ramadhinnov, Ridho Rickha Octavia Rofingatul, Putri Rofiq, Nur Rohman, Danur Rusnedy, Rahmayati Saprudin, Muhamad Selvyana, Dita Ria Sibuea, Tracy Ocha Yulia Sigit Priyanta Siti Nur Azizah, Siti Nur Taufiqulloh Dahlan Tri Puspita Yuliana viola Afrilizetira, Garnis Wahidiyati, Irra Wulandari, Zertiks Yuli Andriani Zafarani, Welly Zulfa Ismi, Dina