Jurnal Nasional Teknologi Informasi dan Aplikasinya
Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024

Implementasi Algoritma Yolo untuk Deteksi Kebusukan pada Sayur Kembang Kol

Alexander Ibrahim (Unknown)
I Wayan Supriana (Unknown)



Article Info

Publish Date
01 Nov 2024

Abstract

This research utilizes the YOLOv8 algorithm to detect spoilage in cauliflower vegetables. Image data was collected from Google, processed using Roboflow, and tested using Google Colab. The study results indicate an accuracy of 59%, recall of 58%, and MAP of 60%. The YOLOv8 algorithm significantly contributes to image recognition and visual data processing. Additionally, the article discusses the application of the YOLOv8 algorithm for object detection in 360-degree panoramic images. The training process was conducted to recognize objects in the images, and evaluation was performed using a confusion matrix and mAP50. The evaluation results demonstrate the model's good performance in object recognition. Several references cited in the article are also included. 

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Journal Info

Abbrev

jnatia

Publisher

Subject

Computer Science & IT Engineering

Description

JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) adalah jurnal yang berfokus pada teori, praktik, dan metodologi semua aspek teknologi di bidang ilmu komputer, informatika dan teknik, serta ide-ide produktif dan inovatif terkait teknologi baru dan teknologi informasi. Jurnal ini memuat ...