KLASIFIKASI KUALITAS KESEGARAN BUAH SEMANGKA BERDASARKAN FITUR WARNA YCbCr MENGGUNAKAN ALGORITMA WEIGTHED K-MEANS

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KLASIFIKASI KUALITAS KESEGARAN BUAH SEMANGKA BERDASARKAN FITUR WARNA YCbCr MENGGUNAKAN ALGORITMA WEIGTHED K-MEANS

Lalu Zulfikar Muslim - Nama Orang;

In this digital era, the processes of controlling the quality of fruits are done by various researchers using computer vision. For a faster and easier sorting process, the classification of fruit quality on a computer using image data is very necessary. In addition, this can also be used in making decisions and policies related to business strategies in the industry. In this research, the quality classification of watermelon was carried out using the Weighted K-Means Algorithm. The classification of watermelon fruit in this study was divided into three groups, namely fresh, medium, and rotten. The classification process in the system created is divided into two stages, namely training and examinations.The data that is input into the system is watermelon image data in YCbCr format. In the training phase, the input data that is processed is image data that has been classified. As for the testing/classification phase, the input data processed is an arbitrary image that has not been classified.The results of the classification with watermelon case studies using the weighted k-means algorithm obtained a conclusion that the greater the amount of training data, the computing time needed for the training and testing process will increase, as well as the level of accuracy, precision and recall of the classification results obtained will also get better. While the greater the number of k values, the computational time needed for the training and testing process will increase, but the level of accuracy, precision, and recall of the results of the classification that gets smaller.

Ketersediaan

2018184 635.611 7.Lal. Tersedia

Informasi Detail

Judul Seri: -
No. Panggil: 635.611 7.Lal.
Penerbit: Universitas Mataram : Fakultas Teknik Unram., 2019
Deskripsi Fisik: -
Bahasa: Indonesia
ISBN/ISSN: -
Klasifikasi: 635.611 7
Tipe Isi: other
Tipe Media: other
Tipe Pembawa: -
Edisi: Edisi 1 Jilid 1
Subjek: KUALITAS KESEGARAN BUAH SEMANGKA
Weighted K-Means Algorithm
Fruit Classification, YCbCr, Pattern Recognition
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Lalu Zulfikar Muslim

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KLASIFIKASI KUALITAS KESEGARAN BUAH SEMANGKA BERDASARKAN FITUR WARNA YCbCr MENGGUNAKAN ALGORITMA WEIGTHED K-MEANS

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