ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI

Authors

  • 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

DOI:

https://doi.org/10.33480/jitk.v5i1.586

Keywords:

Feature Extraction, Brain Tumor, Naive Bayes

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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Published

2019-08-01

How to Cite

[1]
F. Akbar, A. N. Rais, I. A. Sobari, R. A. Zuama, and B. Rudiarto, “ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI”, jitk, vol. 5, no. 1, pp. 37–42, Aug. 2019.

Issue

Vol. 5 No. 1 (2019): JITK Issue August 2019

Section

Articles