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

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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Bibliographic Details
Main Author: Dian C. Rini Novitasari
Format: Article
Language:English
Published: Faculty of Science and Technology, UIN Sunan Ampel Surabaya 2018-10-01
Series:Mantik: Jurnal Matematika
Subjects:
Alzheimer
Fuzzy C-Means
Gray Level Co-ocurrence Matrix
Support Vector Machine
Online Access:http://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/368
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spelling doaj-9bdb2bcb973349a3983a902a8ff5cbf52021-05-02T22:25:12ZengFaculty of Science and Technology, UIN Sunan Ampel SurabayaMantik: Jurnal Matematika2527-31592527-31672018-10-0142838910.15642/mantik.2018.4.2.83-89368Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector MachineDian C. Rini Novitasari0UIN Sunan Ampel SurabayaBased 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%.http://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/368AlzheimerFuzzy C-MeansGray Level Co-ocurrence MatrixSupport Vector Machine
collection DOAJ
language English
format Article
sources DOAJ
author Dian C. Rini Novitasari
spellingShingle Dian C. Rini Novitasari
Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
Mantik: Jurnal Matematika
Alzheimer
Fuzzy C-Means
Gray Level Co-ocurrence Matrix
Support Vector Machine
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 Faculty of Science and Technology, UIN Sunan Ampel Surabaya
series Mantik: Jurnal Matematika
issn 2527-3159
2527-3167
publishDate 2018-10-01
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%.
topic Alzheimer
Fuzzy C-Means
Gray Level Co-ocurrence Matrix
Support Vector Machine
url http://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/368
work_keys_str_mv AT diancrininovitasari klasifikasialzheimerdannonalzheimermenggunakanfuzzycmeangraylevelcooccurencematrixdansupportvectormachine
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