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

  • Dian C. Rini Novitasari UIN Sunan Ampel Surabaya
Keywords: Alzheimer, Fuzzy C-Means, Gray Level Co-ocurrence Matrix, Support Vector Machine

Abstract

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%.

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Published
2018-10-31
How to Cite
Novitasari, D. (2018). Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine. Jurnal Matematika "MANTIK", 4(2), 83-89. https://doi.org/10.15642/mantik.2018.4.2.83-89
Section
Articles