KLASIFIKASI TANAMAN ZAITUN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR DAN METODE GRAY LEVEL CO-OCCURENCE MATRIX
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Institusion
Universitas Pembangunan Nasional Veteran Jakarta
Author
Ghenas Daffa Satryo, .
Subject
QA75 Electronic computers. Computer science
Datestamp
2021-12-21 07:58:03
Abstract :
Olive is a plant that mainly comes from Middle East. Olive can usually live very well in Indonesia because the climate is similar to the origin place of said plant that is a hot climate. Hence, Indonesia actually can be a place for olive cultivation but a lot of people don’t know how to identify these plants with others. Therefore, writer feels the need to make a research about program to help and make it easier for people and community to identify olive plants with other plants using leaves as the medium. This program will use K-Nearest Neighbour (KNN) as the leaf’s classification method and Gray Level Co-occurrence Matrix (GLCM) for leaf’s texture feature extraction. Hopefully that this research can help to identify and distinguish olive plants from other plants.
Olive is a plant that mainly comes from Middle East. Olive can usually live very well in Indonesia because the climate is similar to the origin place of said plant that is a hot climate. Hence, Indonesia actually can be a place for olive cultivation but a lot of people don’t know how to identify these plants with others. Therefore, writer feels the need to make a research about program to help and make it easier for people and community to identify olive plants with other plants using leaves as the medium. This program will use K-Nearest Neighbour (KNN) as the leaf’s classification method and Gray Level Co-occurrence Matrix (GLCM) for leaf’s texture feature extraction. Hopefully that this research can help to identify and distinguish olive plants from other plants.
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