Algoritme Jurnal Mahasiswa Teknik Informatika
Vol 4 No 2 (2024): April 2024 || Algoritme Jurnal Mahasiswa Teknik Informatika

Identifikasi Tingkat Kesegaran Daging Ayam Kampung Menggunakan Metode KNN Berdasarkan Warna Daging

Kasanova, Sinyo (Unknown)
Udjulawa, Daniel (Unknown)



Article Info

Publish Date
30 Apr 2024

Abstract

Free-range chicken is a type of poultry that is still natural in the sense that it has not received genetic improvement treatment. The economically advantageous characteristics of free-range chickens are relatively few compared to purebred chickens, even in terms of egg production and the ability to produce meat. Determining the level of freshness of free-range chicken meat is an important factor in determining the quality of the meat to be consumed, so that people as consumers can avoid the worst risks if they consume free-range chicken meat that is not fresh. For this reason, research was carried out to determine the level of freshness of free-range chicken meat using the KNN and HSV methods. The level of freshness is divided into 3 levels, namely rotten, fresh and not fresh. Based on the results of tests carried out using the KNN method with models k=1, k=3, k=5, k=7, k=9, and k=11, it was found that in the testing process the value of the highest accuracy was obtained by the value k=5 namely 80% and k=7, namely 80%, meanwhile the lowest result was obtained by the value k=1, namely 80%.

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Journal Info

Abbrev

algoritme

Publisher

Subject

Computer Science & IT

Description

Jurnal Algoritme menjadi sarana publikasi artikel hasil temuan Penelitian orisinal atau artikel analisis. Bahasa yang digunakan jurnal adalah bahasa Inggris atau bahasa Indonesia. Ruang lingkup tulisan harus relevan dengan disiplin ilmu seperti: - Machine Learning - Computer Vision, - Artificial ...