JITK (Jurnal Ilmu Pengetahuan dan Komputer)
Vol 5 No 1 (2019): JITK Issue August 2019

ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI

Fajar Akbar (STMIK Nusa Mandiri Jakarta)
Amin Nur Rais (Teknik Informatika STMIK Nusa Mandiri Jakarta)
Irwan Agus Sobari (Teknik Informatika STMIK Nusa Mandiri Jakarta)
Robi Aziz Zuama (Sistem Informasi Universitas Bina Sarana Informatika)
Biktra Rudiarto (Teknik Informatika STMIK Nusa Mandiri Jakarta)



Article Info

Publish Date
01 Aug 2019

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%.

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Journal Info

Abbrev

jitk

Publisher

Subject

Computer Science & IT

Description

Kegiatan menonton film merupakan salah satu cara sederhana untuk menghibur diri dari rasa gundah gulana ataupun melepas rasa lelah setelah melakukan aktivitas sehari-hari. Akan tetapi, karena berbagai alasan terkadang seseorang tidak ada waktu untuk menonton film di bioskop. Dengan bantuan media ...