Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)

The research aimed to create a fresh chicken meat identification system to detect differences between formalin and non-formalin chicken meat based on the image of raw chicken meat. Feature extraction method used is the Feature Texture method which is included in the statistical method where the stat...

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Auteur principal:	Faris Muslihul Amin
Format:	article
Langue:	EN
Publié:	Department of Mathematics, UIN Sunan Ampel Surabaya 2018
Sujets:	Chicken, Texture Feature, K-NN Mathematics QA1-939
Accès en ligne:	https://doaj.org/article/ece642df8bf34f53b22d0da122590860
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spelling	oai:doaj.org-article:ece642df8bf34f53b22d0da1225908602021-12-02T13:43:19ZIdentifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)2527-31592527-316710.15642/mantik.2018.4.1.68-74https://doaj.org/article/ece642df8bf34f53b22d0da1225908602018-05-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/318https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167The research aimed to create a fresh chicken meat identification system to detect differences between formalin and non-formalin chicken meat based on the image of raw chicken meat. Feature extraction method used is the Feature Texture method which is included in the statistical method where the statistical calculation uses a gray degree distribution (histogram) by measuring the level of contrast, granularity, and roughness of an area from the neighboring relationships between pixels in the image then feature extraction, results feature extraction is then classified by K-NN. With the classification using K-NN results obtained high classification accuracy. The K-NN method is a very good method of dealing with the problem of recognizing complex patterns in the form of data training and processing calibration, based on very fast and high accurate literature methods more than other methods. Observation images will be carried out at various distances between the smartphone camera and chicken meat samples.Faris Muslihul AminDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleChicken, Texture Feature, K-NNMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 4, Iss 1, Pp 68-74 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chicken, Texture Feature, K-NN Mathematics QA1-939
spellingShingle	Chicken, Texture Feature, K-NN Mathematics QA1-939 Faris Muslihul Amin Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
description	The research aimed to create a fresh chicken meat identification system to detect differences between formalin and non-formalin chicken meat based on the image of raw chicken meat. Feature extraction method used is the Feature Texture method which is included in the statistical method where the statistical calculation uses a gray degree distribution (histogram) by measuring the level of contrast, granularity, and roughness of an area from the neighboring relationships between pixels in the image then feature extraction, results feature extraction is then classified by K-NN. With the classification using K-NN results obtained high classification accuracy. The K-NN method is a very good method of dealing with the problem of recognizing complex patterns in the form of data training and processing calibration, based on very fast and high accurate literature methods more than other methods. Observation images will be carried out at various distances between the smartphone camera and chicken meat samples.
format	article
author	Faris Muslihul Amin
author_facet	Faris Muslihul Amin
author_sort	Faris Muslihul Amin
title	Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
title_short	Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
title_full	Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
title_fullStr	Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
title_full_unstemmed	Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)
title_sort	identifikasi citra daging ayam berformalin menggunakan metode fitur tekstur dan k-nearest neighbor (k-nn)
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2018
url	https://doaj.org/article/ece642df8bf34f53b22d0da122590860
work_keys_str_mv	AT farismuslihulamin identifikasicitradagingayamberformalinmenggunakanmetodefiturteksturdanknearestneighborknn
_version_	1718392588983074816

Identifikasi Citra Daging Ayam Berformalin Menggunakan Metode Fitur Tekstur dan K-Nearest Neighbor (K-NN)

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