Klasifikasi Belimbing Menggunakan Naïve Bayes Berdasarkan Fitur Warna RGB
Post harvest issues on star fruit are produced on a large scale or industry is sorting. Currently, star fruit classified by rind color analysis visually human eye. This method does not effective and inefficient. The research aims to classify the starfruit sweetness level by using image processing te...
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| Main Authors: | , |
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| Format: | EJournal Article |
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IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2017-01-31.
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| Online Access: | Get Fulltext Get Fulltext |
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| LEADER | 02094 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | IJCSS_17838 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Manik, Fuzy Yustika |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Saragih, Kana Saputra |e author |
| 245 | 0 | 0 | |a Klasifikasi Belimbing Menggunakan Naïve Bayes Berdasarkan Fitur Warna RGB |
| 260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2017-01-31. | ||
| 500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/17838 | ||
| 520 | |a Post harvest issues on star fruit are produced on a large scale or industry is sorting. Currently, star fruit classified by rind color analysis visually human eye. This method does not effective and inefficient. The research aims to classify the starfruit sweetness level by using image processing techniques. Features extraction used is the value of Red, Green and Blue (RGB) to obtain the characteristics of the color image. Then the feature extraction results used to classify the star fruit with Naïve Bayes method. Starfruit image data used 120 consisting of 90 training data and 30 testing data. The results showed the classification accuracy using RGB feature extraction by 80%. The use of RGB as the color feature extraction can not be used entirely as a feature of the image extraction of star fruit. | ||
| 540 | |a Copyright (c) 2017 IJCCS - Indonesian Journal of Computing and Cybernetics Systems | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Starfruit; Feature Extraction; Classification; Naive Bayes; RGB | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 11, No 1 (2017): January; 99-108 | |
| 786 | 0 | |n 2460-7258 | |
| 786 | 0 | |n 1978-1520 | |
| 787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/17838/12149 | |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/17838 |z Get Fulltext |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/17838/12149 |z Get Fulltext |