Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine

Based on the Alzheimer's Charter, 2-3 million cases of dementia by Alzheimer's disease occur every year. People with Alzheimer's disease experience memory and cognitive disorders progressively for 3 to 9 years. Patients experience confusion in understanding the question and have a cha...

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Autor principal:	Dian C. Rini Novitasari
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2018
Materias:	Alzheimer Fuzzy C-Means Gray Level Co-ocurrence Matrix Support Vector Machine Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/9bdb2bcb973349a3983a902a8ff5cbf5
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spelling	oai:doaj.org-article:9bdb2bcb973349a3983a902a8ff5cbf52021-12-02T17:20:56ZKlasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine2527-31592527-316710.15642/mantik.2018.4.2.83-89https://doaj.org/article/9bdb2bcb973349a3983a902a8ff5cbf52018-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/368https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Based on the Alzheimer's Charter, 2-3 million cases of dementia by Alzheimer's disease occur every year. People with Alzheimer's disease experience memory and cognitive disorders progressively for 3 to 9 years. Patients experience confusion in understanding the question and have a chaotic sequence of memory, which can interfere with daily activities and unchecked well, it cause death. The classification system is based on Alzheimer's and non-Alzheimer's disease Magnetic Resonance Imaging (MRI) using Support Vector Machine (SVM). The feature data segmentation using Fuzzy C-Means (FCM) and feature extraction using Gray Level Co-Occurrence Matrix (GLCM) and give accuracy result of 93.33%.Dian C. Rini NovitasariDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleAlzheimerFuzzy C-MeansGray Level Co-ocurrence MatrixSupport Vector MachineMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 4, Iss 2, Pp 83-89 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Alzheimer Fuzzy C-Means Gray Level Co-ocurrence Matrix Support Vector Machine Mathematics QA1-939
spellingShingle	Alzheimer Fuzzy C-Means Gray Level Co-ocurrence Matrix Support Vector Machine Mathematics QA1-939 Dian C. Rini Novitasari Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
description	Based on the Alzheimer's Charter, 2-3 million cases of dementia by Alzheimer's disease occur every year. People with Alzheimer's disease experience memory and cognitive disorders progressively for 3 to 9 years. Patients experience confusion in understanding the question and have a chaotic sequence of memory, which can interfere with daily activities and unchecked well, it cause death. The classification system is based on Alzheimer's and non-Alzheimer's disease Magnetic Resonance Imaging (MRI) using Support Vector Machine (SVM). The feature data segmentation using Fuzzy C-Means (FCM) and feature extraction using Gray Level Co-Occurrence Matrix (GLCM) and give accuracy result of 93.33%.
format	article
author	Dian C. Rini Novitasari
author_facet	Dian C. Rini Novitasari
author_sort	Dian C. Rini Novitasari
title	Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
title_short	Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
title_full	Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
title_fullStr	Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
title_full_unstemmed	Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
title_sort	klasifikasi alzheimer dan non alzheimer menggunakan fuzzy c-mean, gray level co-occurence matrix dan support vector machine
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2018
url	https://doaj.org/article/9bdb2bcb973349a3983a902a8ff5cbf5
work_keys_str_mv	AT diancrininovitasari klasifikasialzheimerdannonalzheimermenggunakanfuzzycmeangraylevelcooccurencematrixdansupportvectormachine
_version_	1718381041424531456

Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine

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