| dc.description.abstract | The process of identifyingfruit traditionolly couses many problems because of
human weaknesses so that the intended result is not ffictive- The advancement
computerization technologt has been irrvolved in agriculture either in pre-harvest
periodor post-harvest period . The problem is how to htow whether a certain fruit
meets its real condition. The condition of papaya is determined by the ripeness which
con be seen from its color. The process of classification conducted by farmers is
usually identified by green ripe, not completely ripe, and completely ripe (can be
plucked). The image processing method is able to analyze the condition of image by
using colour Red, Green, Blue (RGB) yalue as the reference. Classificotion is
determined by using K-mean Clustering, utilizing enclidisn distonce voriance as the
reference. The outcome of cluster green popoyal 60% of them were succesfully
identified os green popoyas, cluster not completely ripe popayas, 90% of them were
identified as not completely ripe papayas, and cluster completely ripe papayas, l00ok
of them were identified as completely ripe. Therefore, it can be concluded that Kmean
Clustering was almost the same as the classification process done by the
farmers who had experiencedfor yeors. | en_US |
