Impression Classification of Endek (Balinese Fabric) Image Using K-Nearest Neighbors Method

Gede Aditra Pradnyana; I Komang Agus Suryantara; I Gede Mahendra Darmawiguna

doi:10.22219/kinetik.v3i3.611

Issue

Vol 3, No 3, August 2018

Issue Published : Aug 1, 2018

Impression Classification of Endek (Balinese Fabric) Image Using K-Nearest Neighbors Method

https://doi.org/10.22219/kinetik.v3i3.611

Gede Aditra Pradnyana

Universitas Pendidikan Ganesha

http://orcid.org/0000-0002-7821-8566

I Komang Agus Suryantara

Universitas Pendidikan Ganesha

I Gede Mahendra Darmawiguna

Universitas Pendidikan Ganesha

Corresponding Author(s) : Gede Aditra Pradnyana

gede.aditra@gmail.com

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol 3, No 3, August 2018
Article Published : Apr 16, 2018

Abstract

An impression can be interpreted as a psychological feeling toward a product and it plays an important role in decision making. Therefore, the understanding of the data in the domain of impressions will be very useful. This research had the objective of knowing the performance of K-Nearest Neighbors method to classify endek image impression using K-Fold Cross Validation method. The images were taken from 3 locations, namely CV. Artha Dharma, Agung Bali Collection, and Pengrajin Sri Rejeki. To get the image impression was done by consulting with an endek expert named Dr. D.A Tirta Ray, M.Si. The process of data mining was done by using K-Nearest Neighbors Method which was a classification method to a set of data based on learning data that had been classified previously and to classify new objects based on attributes and training samples. K-Fold Cross Validation testing obtained accuracy of 91% with K value in K-Nearest Neighbors of 3, 4, 7, 8.

Keywords

Classification Endek Impression K-Nearest Neighbors

Pradnyana, G. A., Suryantara, I. K. A., & Darmawiguna, I. G. M. (2018). Impression Classification of Endek (Balinese Fabric) Image Using K-Nearest Neighbors Method. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 3(3), 213-220. https://doi.org/10.22219/kinetik.v3i3.611

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References

Dinas Pariwisata Provinsi Bali, “Statistik,” 8 Maret 2017. [Online]. Available: http://www.disparda.baliprov.go.id/id/Statistik3. [Diakses 8 Maret 2017].
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Z. Hai-bo and Z. Chun-yan, "Study on the Emotion Factor Space of Men's T-shirt," in 3rd International Conference on Information Science and Control Engineering, Beijing, China, 2016.
S. Zhao, H. Yao and Y. Gao, "Predicting Personalized Image Emotion Perceptions in Social Networks," IEEE TRANSACTION ON AFFECTIVE COMPUTING, VOL. 10, NO. X, pp. 1-14, 2016.
J. W. Yodha and A. W. Kurniawan, "Pengenalan Motif Batik Menggunakan Deteksi Tepi Canny Dan K-Nearest Neighbors," Techno.COM, Vol. 13, No. 4, pp. 251-262, 2014.
I. G. S. Rahayuda, "Texture Analysis on Image Motif of Endek Bali using K-Nearest Neighbor Classification Method," International Journal of Advanced Computer Science and Applications, Vol. 6, No. 9, pp. 205-211, 2015.
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References

Dinas Pariwisata Provinsi Bali, “Statistik,” 8 Maret 2017. [Online]. Available: http://www.disparda.baliprov.go.id/id/Statistik3. [Diakses 8 Maret 2017].

Yayat, "Pengertian Seni Rupa Terapan beserta Contohnya," Oktober 2015. [Online]. Available: http://www.pakmono.com/2015/10/pengertian-seni-rupa-terapan-beserta-contohnya.html. [Accessed 18 Februari 2017].

A. Nilogiri, "Pengaruh Fitur Warna pada Klasifikasi Impresi Citra Batik Indonesia Menggunakan Probabilistic Neural Network," Jurnal Sistem dan Teknologi Informasi Indonesia, Volume 01, Nomor 01, pp. 57-63, 2016.

Y.-W. Chen, D. Chen, X.-h. Han and X. Huang, "Generic and Specific Impression of Estimation of Clothing Fabric Images Based on Machine Learning," in 12th International Conference on Fuzzy System and Knowledge DIscovery (FSKD), China, 2016.

Z. Hai-bo and Z. Chun-yan, "Study on the Emotion Factor Space of Men's T-shirt," in 3rd International Conference on Information Science and Control Engineering, Beijing, China, 2016.

S. Zhao, H. Yao and Y. Gao, "Predicting Personalized Image Emotion Perceptions in Social Networks," IEEE TRANSACTION ON AFFECTIVE COMPUTING, VOL. 10, NO. X, pp. 1-14, 2016.

J. W. Yodha and A. W. Kurniawan, "Pengenalan Motif Batik Menggunakan Deteksi Tepi Canny Dan K-Nearest Neighbors," Techno.COM, Vol. 13, No. 4, pp. 251-262, 2014.

I. G. S. Rahayuda, "Texture Analysis on Image Motif of Endek Bali using K-Nearest Neighbor Classification Method," International Journal of Advanced Computer Science and Applications, Vol. 6, No. 9, pp. 205-211, 2015.

R. Munir, Pengolahan Citra Digital, Bandung: Informatika, 2004.

I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, Second Edition, San Francisco: Diane Cerra, 2005.

Y. Permadi and Murinto, "Aplikasi Pengolahan Citra untuk Identifikasi Kematangan Mentimun Berdasarkan Tekstur Kulit Buah Menggunakan Metode Ekstraksi Ciri Statistik," JURNAL INFORMATIKA Vol. 9, No. 1, pp. 1028-1038, 2015.

M. Nixon and A. Aguado, Feature Extraction & Image Proccessing, London: Elsevier Ltd, 2008.

J. Han and M. Kamber, Data Mining: Concepts and Techniques, Amerika Serikat: Diane Cerra, 2006.

Issue

Vol 3, No 3, August 2018

Impression Classification of Endek (Balinese Fabric) Image Using K-Nearest Neighbors Method

Corresponding Author(s) : Gede Aditra Pradnyana

Abstract

Keywords

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References

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