SciRepID

Belum punya Author-ID ?

Judul	Sitasi	Tahun
Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing (Maryam Sufiyanu Masari, Maiauduga Abdullahi Danladi, Ilori Loretta Onyinye, Loreta Katok Tohomdet) DOI : 10.62411/jcta.15084 - Volume: 3, Issue: 3, Sitasi : 20 18-Jan-2026 \| Abstrak \| PDF File \| Resource \| Last.29-Jan-2026 Abstrak: This study presents a comparative analysis of machine learning algorithms for Android malware detection using the TUANDROMD dataset. SMOTE was applied to address class imbalance and ensure robust model evaluation. Experimental results show that Random Forest achieved the best performance with near-perfect accuracy and ROC AUC, confirming its robustness for malware detection tasks.	20	2026