IDENTIFIKASI HAMA DAN PENYAKIT DAUN JERUK LEMON MENGGUNAKAN METODE K-NEAREST NEIGHBOR (K-NN)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
YAFI, MUHAMMAD ILHAM
Kuswardani, Dwina
Siregar, Riki Ruli A
Kuswardani, Dwina
Siregar, Riki Ruli A
Subject
Teknik Informatika
Datestamp
2022-09-20 03:52:31
Abstract :
Wulan Tani Farm, Karang Cengis Village is one of the lemonade plantations in Indonesia. In this garden, there are many farmers who grow lemons and it is source of income for the community. However, in the lemon cultivation process there are still obstacles that cause not optimal result such as pests and diseases that attack and inaccuracy in identifying the types of pests or diseases that attack lemon plants. This research was conducted to identify pests and diseases through image processing and classification of pests and diseases. The method used in this research is HSV color feature extraction and classification process using the K-Nearest Neighbor (K-NN) algorithm. Accuracy results were obtained using 40 test data and 275 training data equivalents to 95%.
Wulan Tani Farm, Karang Cengis Village is one of the lemonade plantations in Indonesia. In this garden, there are many farmers who grow lemons and it is source of income for the community. However, in the lemon cultivation process there are still obstacles that cause not optimal result such as pests and diseases that attack and inaccuracy in identifying the types of pests or diseases that attack lemon plants. This research was conducted to identify pests and diseases through image processing and classification of pests and diseases. The method used in this research is HSV color feature extraction and classification process using the K-Nearest Neighbor (K-NN) algorithm. Accuracy results were obtained using 40 test data and 275 training data equivalents to 95%.
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