Cataract Detection Using Single Layer Perceptron Based on Smartphone

Abstract

Cataracts are the lens of the eye that becomes cloudy so that light cannot penetrate, varying according to its level from a little to total opacity. Cataracts are a leading cause of visual impairment and blindness in Indonesia and even in the world. Early detection of cataracts is known as the main setting in resisting the increase in the amount of blindness caused by cataracts. Early detection of cataracts can be seen with a slit lamp that is usually used by ophthalmologists, but the number of ophthalmologists in Indonesia is inadequate, especially in small town areas. For this reason, the researcher will make a cataract disease detection device using a smartphone. A single layer perceptron method was then used to determine the classification results in the form of normal eyes, immature cataract eyes and mature cataract eyes. Based on the results of research conducted, this cataract detection system has an accuracy of 85%.