Author

Muhammad Arifin Ilham

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Conference Aug 2026

Data Augmentation Strategy Evaluation for Pothole Instance Segmentation Using YOLOv26n-seg on Resource-Constrained Hardware

Pothole and road surface deterioration pose safety risks that demand automated road inspection systems. This paper investigates five data augmentation strategies, namely Baseline, Copy-Paste, MixUp, CutMix, and Hybrid (Copy-Paste + CutMix), to improve instance segmentation performance for pothole detection using YOLOv2...

Dwiki Yulian, A. Febrian, Muhammad Arifin Ilham et al. · International Conferences on... · 0 citations

Conference Aug 2026

A Comparative Study of Two Road Pothole Datasets for Instance Segmentation Using YOLO-Seg and K-Fold Cross-Validation

Road potholes are a persistent form of pavement deterioration that threatens public safety and imposes recurring costs on transportation agencies. Vision-based instance segmentation offers a scalable and precise approach for delineating such defects, with YOLO-family models extended with segmentation heads achieving st...

Muhammad Arifin Ilham, Dwiki Yulian, A. Febrian et al. · International Conferences on... · 0 citations

Conference Aug 2026

Early Detection of Student Dropout Using Ensemble Learning with Recursive Feature Elimination

Student dropout in higher education is a persistent problem with real consequences for students, institutions, and the broader economy. This paper presents a machine learning pipeline for early dropout prediction built on the UCI Student Dropout and Academic Success dataset, which contains 4,424 student records across...

A. Febrian, Dwiki Yulian, Muhammad Arifin Ilham et al. · International Conferences on... · 0 citations