Pengenalan Citra Untuk Identifikasi Penyakit Busuk Pada Sulur Batang Tanaman Buah Naga Menggunakan Metode Ekstraksi Ciri Warna (Studi Kasus: Kelompok Tani Kampung Daun Baumata - Kupang - NTT)

LADO, Anita Jaquiline (2021) Pengenalan Citra Untuk Identifikasi Penyakit Busuk Pada Sulur Batang Tanaman Buah Naga Menggunakan Metode Ekstraksi Ciri Warna (Studi Kasus: Kelompok Tani Kampung Daun Baumata - Kupang - NTT). Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

This study aims to identify rot disease in dragon fruit stem vines. Identification is carried out to help farmer Kampung Daun and the general public in order to quickly recognize the rot disease in the vines of the dragon fruit plant stems to improve harvest quality. Rot disease vines dragon fruit, can inhibit plants from producing fruit and cause a decrease in crop yields as experienced by farmers kampung daun, in 2020 decrease in yield harvest of 15%. Identification is done using image. The image used are dragon fruit stem vines that are affected by rot disease and dragon fruit stem vines that are still healthy, with using a digital camera as an image capture where the total image taken in this study were 50 samples. All image that have been taken will be extracted using color feature. The use of this color feature uses a color histogram with the Hue Saturation Value (HSV) color model. The training and classification process uses the SVM toolbox that is already available on the MATLAB application,where the classification is divided into two classes where the first class is rotten and the second class is healthy. The results of this study can distinguish sick and healthy stem vines, after testing on 24 citra samples for 360 tries, the accuracy level of the dragon fruit stem vines rot disease identification system gets a high accuracy rate of 100%.

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