Sistem Cerdas dalam Mengidentifikasi Kematangan Buah Naga Berdasarkan Fitur Tekstur dengan Metode K-Nearest Neighbor


Rahmat Karim Haba(1*); Husdi Husdi(2);

(1) Universitas Ichsan Gorontalo
(2) Universitas Ichsan Gorontalo
(*) Corresponding Author

  

Abstract


Dragon fruit garden farmers in selecting ripe dragon fruit in the harvest season sometimes still have problems such as sorting to identify which ones are ripe or not yet ripe, this is because dragon fruit has skin or a thick texture. One of the innovations in information and communication in agriculture is by applying an identification system using the K-Nearest Neighbor method on an intelligent system. The purpose of this research is to identify the maturity of dragon fruit with an intelligent system and to obtain a smart system that is effective and efficient so that it can be implemented. This study uses the GLCM extraction feature as a method for obtaining texture values in images (images) and in detecting using the K-Nearest Neighbor method. From the identification results can be measured from the calculation of the angle 00, 450, 900 and 1300 as well as the proximity distance K = 3, and can be implemented.

Keywords


Buah Naga; GLCM; K-Nearest Neighboar

  
     

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doi  https://doi.org/10.33096/ilkom.v12i3.665.%25p
  

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