Pendeteksi Objek Berupa Sampah Di Area Kampus Telkom University

Abstract

Garbage is an item that is produced from human activities and other living things that are no longer used. Garbage will
become an environmental problem if not managed this properly. The large activity from Telkom University students means
that most students throw garbage inappropriately when they are on the campus. This garbage problem can make the
campus environment very uncomfortable, due to lack of trash cans in areas that are rarely traverse by people. there are
many technological tools that can help to detect garbage. Which one of this is machine learning. Machine learning is artificial
intelligence that helps humans to make a system and one of them is an object detection system. By using machine learning
for object detection system, the campus can check garbage that is thrown away carelessly. In this final project, a system will
be built that can detect objects in the form of garbage through a camera using an experimental based method. As for the
systems and tools used, Yolov5 as the model of the system and Raspberry Pi as the main computer. The results obtained
from object detection system are to help the campus detecting garbage in Telkom University campus area.