ANALISIS PERBANDINGAN KLASIFIKASI CITRA MYCROBACTERIUM TUBERCULOSIS

Abstract

Tuberculosis (TB) is an infectious disease that remains a challenging health problem worldwide. This disease is caused by rod-shaped bacteria called Mycobacterium tuberculosis. These bacteria usually affect the lungs but can also spread to other parts of the body such as the eyes, bones and blood vessels. It was reported that around. 4.74 million new TB cases were identified and around eight hundred thousand people died from TB, during 2015 in Southeast Asia. In this study, color image segmentation techniques were carried out using classification methods by comparing several methods including Logistic Regression, Linear Discriminant Analysis, K- Neighbors Classifier, Decision Tree Classifier, Random Forest Classifier, Gaussian NaiveBayes, and Support Vector Machine. In the final stage it is known that the validation test on the Random Forest Classifier produces the highest value of 86.04%.