KLASIFIKASI MUTU TELUR BERDASARKAN FITUR WARNA DENGAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Abstract

Eggs are one of the animal food ingredients consumed by people other
than meat, fish, and milk. As a food ingredient not all eggs have a quality
or good quality and freshness. To see the quality of eggs physically can
be seen from eggshell manually, so it takes a long time. Therefore in this
study will be designed a system that can determine the quality of eggs
based on the color features using HSV. The classification method used is
K-Nearest Neighbor. Highest accuracy of 80% when k value is 7.