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Biktra Rudiarto
Teknik Informatika STMIK Nusa Mandiri Jakarta
Computer Science & IT

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ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI Fajar Akbar; Amin Nur Rais; Irwan Agus Sobari; Robi Aziz Zuama; Biktra Rudiarto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1116.903 KB) | DOI: 10.33480/jitk.v5i1.586

Abstract

The brain in humans becomes part of the central nervous system of the human body. The use of imaging with MRI is one that can be used as a first step to detect parts of the human brain. The imaging step is the first step in diagnosing brain tumor. By performing feature extraction, which aims to process the classification of brain tumors, between normal and abnormal brain images using the naive Bayes method. Obtained 41 images which then became 39 datasets. Feature extraction results with 2 classes, normal as many as 20 data and abnormal data 19. The calculation results obtained the value of the normal class of 0.513 and the abnormal class of 0.487 the value of the calculation accuracy of 84.17%.
Co-Authors Amin Nur Rais Fajar Akbar Robi Aziz Zuama Sobari, Irwan Agus