Classification of Thorax X-ray Results on Corona Virus Infection Based on Internet of Things (IoT)

Abstract The spread of the corona virus in Indonesia is still growing until now. One important thing to note about handling patients exposed coronavirus. This study aims be able classify thorax x-ray images against infection based on Internet Things (IoT). IoT a concept internet connectivity that connected continuously between remote devices. uses supervised learning method, namely directed which expected results user have been trained advance and information stored system (database). training data used Thorax image processed processing with segmentation edge detection Sobel operator real time internet. showed 100 times experiment obtained accuracy value normal X-ray 94% covid-19 96%. Overall test 95% target 5% error.