Penerapan Jaringan Saraf Tiruan Radial Basis Function Pada Tools Klasifikasi Tanaman
DAFTAR PUSTAKA
Agustin, S. & Prasetyo, E. 2011. Klasifikasi Jenis Pohon Mangga Gadung dan Curut
Berdasarkan Tekstur Daun. SESINDO 2011: Surabaya.
Argadinata, A. 2013.Pengenalan Motif Batik dengan Filter 2D Gabor Wavelet dan
Jaringan Saraf Tiruan Radial Basis Function. Skripsi. Universitas Telkom
Bandung.
Berry, Michael J.A & Linoff, Gordon S. 2004. Data Mining Techniques For Marketing,
Sales, Customer Relationship Management Second Editon . United States of
America: Wiley Publishing, Inc.
Bishop, M.C. 1995. Neural Networks for Pattern Recognition. Oxford Press: Oxford.
Bors, A.G. (n.d). Introduction of the Radial Basis Function (RBF) Networks. University
of York.
Buhmann, M.D. 2003. Radial Basis Function: Theory and Implementations . Cambridge
University Press: Cambridge.
Chairunnisaq. 2016. Klasifikasi Warna pada Tanaman Padi untuk Kebutuhan Pupuk
Berdasarkan Bagan Warna Daun Menggunakan Jarigan Saraf Radial Basis
Function. Skripsi. Universitas Sumatera Utara.
Er, M.J., Member, IEEE, Wu, Shiqian & Lu, Juwei. 1999. Face Recognition Using Radial
Basis Function (RBF) Neural Networks. Proceedings of the 38th Conference on
Decision & Control, pp: 14-20.
Gradhianta, T & Fuad, Y. 2013. Penerapan Jaringan Syaraf Tiruan Dengan Radial Basis
Function untuk Pengenalan Genre Musik. Universitas Negeri Surabaya.
Gonzalez, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall: New
Jersey.
Universitas Sumatera Utara
62
Han, Jiawei & Kamber, Micheline. 2006. Data Mining: Concepts and Techniques. 2nd
edition. Elsevier Inc.
Hermawan, A.R., Wibowo, A.E., Alfanda, D., Ningrum, D.F. & Liman, N.S. (n.d).
Pengklasifikasian Daun Mangga, Salam, dan Sawo dengan Menggunakan Metode
Naïve Baiyes. Universitas Brawijaya: Malang.
Hermawati , A.F. 2013. Pengolahan Citra Digital. Yogyakarta: Penerbit ANDI.
Hu, M.K. 1962. Visual Pattern Recognition by Moment Invariants. University of Utah:
Utah.
Imaduddin, Zaki & Tawakkal, Hilmy A. 2015. Deteksi dan Klasifikasi Daun
Menggunakan Metode Adaboost dan SVM. Seminar Nasional Teknologi
Informasi dan Multimedia: Yogyakarta.
Kadir, A., Nugroho, L.E., Susanto, A. & Santosa, P.I. 2011. Neural network application
on foliage plant identification. International Journal of Computer Applications
29(9): 15-22.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra . Penerbit Andi :
Yogyakarta.
Liao, P.S., Chen, T.S. & Chung, P.C. 2001. A Fast Algorithm for Multilevel
Thresholding. Journal of Information Science and Engineering 17: 713-727.
Prokop, R.J. & Reeves, A.P. 1992. A Survey of Moment-Based Techniques for
Unoccluded Object Representation and Recognition. CVGIP: Graphical Models
and Image Processing, 54(5):438-460.
Purnamasari, R. W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri Semarang.
Puspitaningrum, Dyah. 2006. Pengantar Jaringan Saraf Tiruan. Penerbit ANDI:
Yogyakarta.
Universitas Sumatera Utara
63
Rizon, M., Yazid, H., Saad, P., Shakaff, A.Y.M., Saad, A.R., Mamat, M.R. Yaacob, S.,
Desa, H., & Karthigayan, M. 2006. Object Detection Using Geometric Invariant
Moment. American Journal of Applied Sciences 2(6): 1876-1878.
Sharma, S. & Gupta, C. 2015. Recognition of Plant Species Based on Leaf Images Using
Multilayer Feed Forward Neural Network. International Journal of Innovative
Research in Advanced Engineering (IJIRAE) (2): 2349-2163.
Bowo, S.A.A., Hidayatno, A. & Isnanto, R.R. 2011. Analisis Deteksi Tepi untuk
Mengidentifikasi Pola Daun. Skripsi. Universitas Diponegoro Semarang.
Tan, P.N., Steinbach, M. & Kumar, V. 2004. Introduction to Data Mining. AddisonWesley Longman Publishing Co., Inc.: Boston.
Weisstein,
E.W.
(2002).
Gaussian
Function.
[Online].
Available:
http://mathworld.wolfram.com/GaussianFunction.html. [Diakses 27 Maret 2016].
Wu, J. 2012. Advances in K-means Clustering: A Data Mining Thinking. Springer Berlin
Heidelberg: Berlin.
Wu, S.G., Bao, F.S., Xu, E.Y., Wang, Y.X., Chang, Y.F. & Xiang, Q.L. 2007. A Leaf
Recognition Algorithm for Plant Classification Using Probabilistic Neural
Network. [Online]. Available: http://flavia.sourceforge.net/. [Diakses 26 Maret
2016].
Universitas Sumatera Utara
Agustin, S. & Prasetyo, E. 2011. Klasifikasi Jenis Pohon Mangga Gadung dan Curut
Berdasarkan Tekstur Daun. SESINDO 2011: Surabaya.
Argadinata, A. 2013.Pengenalan Motif Batik dengan Filter 2D Gabor Wavelet dan
Jaringan Saraf Tiruan Radial Basis Function. Skripsi. Universitas Telkom
Bandung.
Berry, Michael J.A & Linoff, Gordon S. 2004. Data Mining Techniques For Marketing,
Sales, Customer Relationship Management Second Editon . United States of
America: Wiley Publishing, Inc.
Bishop, M.C. 1995. Neural Networks for Pattern Recognition. Oxford Press: Oxford.
Bors, A.G. (n.d). Introduction of the Radial Basis Function (RBF) Networks. University
of York.
Buhmann, M.D. 2003. Radial Basis Function: Theory and Implementations . Cambridge
University Press: Cambridge.
Chairunnisaq. 2016. Klasifikasi Warna pada Tanaman Padi untuk Kebutuhan Pupuk
Berdasarkan Bagan Warna Daun Menggunakan Jarigan Saraf Radial Basis
Function. Skripsi. Universitas Sumatera Utara.
Er, M.J., Member, IEEE, Wu, Shiqian & Lu, Juwei. 1999. Face Recognition Using Radial
Basis Function (RBF) Neural Networks. Proceedings of the 38th Conference on
Decision & Control, pp: 14-20.
Gradhianta, T & Fuad, Y. 2013. Penerapan Jaringan Syaraf Tiruan Dengan Radial Basis
Function untuk Pengenalan Genre Musik. Universitas Negeri Surabaya.
Gonzalez, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall: New
Jersey.
Universitas Sumatera Utara
62
Han, Jiawei & Kamber, Micheline. 2006. Data Mining: Concepts and Techniques. 2nd
edition. Elsevier Inc.
Hermawan, A.R., Wibowo, A.E., Alfanda, D., Ningrum, D.F. & Liman, N.S. (n.d).
Pengklasifikasian Daun Mangga, Salam, dan Sawo dengan Menggunakan Metode
Naïve Baiyes. Universitas Brawijaya: Malang.
Hermawati , A.F. 2013. Pengolahan Citra Digital. Yogyakarta: Penerbit ANDI.
Hu, M.K. 1962. Visual Pattern Recognition by Moment Invariants. University of Utah:
Utah.
Imaduddin, Zaki & Tawakkal, Hilmy A. 2015. Deteksi dan Klasifikasi Daun
Menggunakan Metode Adaboost dan SVM. Seminar Nasional Teknologi
Informasi dan Multimedia: Yogyakarta.
Kadir, A., Nugroho, L.E., Susanto, A. & Santosa, P.I. 2011. Neural network application
on foliage plant identification. International Journal of Computer Applications
29(9): 15-22.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra . Penerbit Andi :
Yogyakarta.
Liao, P.S., Chen, T.S. & Chung, P.C. 2001. A Fast Algorithm for Multilevel
Thresholding. Journal of Information Science and Engineering 17: 713-727.
Prokop, R.J. & Reeves, A.P. 1992. A Survey of Moment-Based Techniques for
Unoccluded Object Representation and Recognition. CVGIP: Graphical Models
and Image Processing, 54(5):438-460.
Purnamasari, R. W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri Semarang.
Puspitaningrum, Dyah. 2006. Pengantar Jaringan Saraf Tiruan. Penerbit ANDI:
Yogyakarta.
Universitas Sumatera Utara
63
Rizon, M., Yazid, H., Saad, P., Shakaff, A.Y.M., Saad, A.R., Mamat, M.R. Yaacob, S.,
Desa, H., & Karthigayan, M. 2006. Object Detection Using Geometric Invariant
Moment. American Journal of Applied Sciences 2(6): 1876-1878.
Sharma, S. & Gupta, C. 2015. Recognition of Plant Species Based on Leaf Images Using
Multilayer Feed Forward Neural Network. International Journal of Innovative
Research in Advanced Engineering (IJIRAE) (2): 2349-2163.
Bowo, S.A.A., Hidayatno, A. & Isnanto, R.R. 2011. Analisis Deteksi Tepi untuk
Mengidentifikasi Pola Daun. Skripsi. Universitas Diponegoro Semarang.
Tan, P.N., Steinbach, M. & Kumar, V. 2004. Introduction to Data Mining. AddisonWesley Longman Publishing Co., Inc.: Boston.
Weisstein,
E.W.
(2002).
Gaussian
Function.
[Online].
Available:
http://mathworld.wolfram.com/GaussianFunction.html. [Diakses 27 Maret 2016].
Wu, J. 2012. Advances in K-means Clustering: A Data Mining Thinking. Springer Berlin
Heidelberg: Berlin.
Wu, S.G., Bao, F.S., Xu, E.Y., Wang, Y.X., Chang, Y.F. & Xiang, Q.L. 2007. A Leaf
Recognition Algorithm for Plant Classification Using Probabilistic Neural
Network. [Online]. Available: http://flavia.sourceforge.net/. [Diakses 26 Maret
2016].
Universitas Sumatera Utara