Identification the Maturity Level of Carica Papaya Using the K-Nearest Neighbor

Abstract

The agricultural sector plays an essential role in economic growth in Indonesia. It can see from the grouping of economic activities. In the grouping of economic activities, the agricultural sector is classified in the primary sector. Determination of proper maturity at harvest is essential to get good quality fruit. Overripe fruits tend to be softer and more chewy and produce a bland taste. This research aims to assist papaya farmers in recognizing the maturity level of papaya so that they can effectively determine the maturity level of the papaya fruit. The method used in this research is the K-Nearest Neighbor method. The success rate of identification of papaya fruit maturity obtained using the K-Nearest Neighbor learning method with a success rate of 100%. From the identification results obtained, produce two outputs that are 100% unripe and 100% ripe.