Analisis perbandingan algoritma YOLOv8 dan Faster R-CNN untuk deteksi dan klasifikasi sampah menggunakan Computer Vision

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Item Type:	Thesis (UNSPECIFIED)
Subjects:	600 Technology (Applied Sciences) > 620 Engineering and Allied Operations (Ilmu Teknik dan Ilmu yang Berkaitan)
Depositing User:	Hafid Zayyan
Date Deposited:	23 Apr 2026 07:37
Last Modified:	23 Apr 2026 07:37
URI:	https://repository.ar-raniry.ac.id/id/eprint/55108

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