Identifikasi Jenis Kayu Tropis Menggunakan Backpropagation Neural Network
DAFTAR PUSTAKA
Ahmad, A. & Yusof, R. 2013. Clustering the tropical wood species using kohonen selforganizing map. Proceedings of 2nd International Conference on Advances in
Computer Science and Engineering, pp. 16-19.
Atomi, W. H. 2012. The effect of data preprocessing on the performance of artificial
neural networks techniques for classification problems. Tesis. University Tun
Hussein Onn Malaysia.
Azizi, M.F.Q. 2013. Perbandingan antara metode backpropagation dengan metode
learning vector quantization (LVQ) pada pengenalan citra barcode. Skripsi.
Universitas Negeri Semarang.
Bond, B. & Hamner, P. 2002. Wood Identification for Hardwood and Softwood Species
Native to Tennessee. Agricultural Extension Service: Knoxville.
Darmawan, D. 2010. Pengenalan wajah dengan metode backpropagation menggunakan
kamera CCTV inframerah. Skripsi. Universitas Indonesia.
Ferguson, J. R. 2007. Using the grey-level-co-occurrence matrix to segment and classify
radar imagery. Tesis. University of Nevada.
Gadkari, D. 2004. Image quality analysis using GLCM. Tesis. University of Central
Florida.
Gonzalez, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall: New
Jersey.
Gunawan, A.A.G.R., Nurdiati, S. & Arkeman, Y. 2011. Identifikasi jenis kayu
menggunakan support vector machine berbasis data citra. Jurnal Ilmu Komputer
Agri-Informatika 3(1): 1-8.
Hajek, M. 2005. Neural Networks. University of KwaZulu-Natal Press: Durban.
Universitas Sumatera Utara
78
Hasmiati. 2013. Image smoothing dengan menggunakan metode lowpass filter. Skripsi.
Universitas Islam Negeri Sultan Syarif Kasim Riau.
Kadir, A., Nugroho, L.E., Susanto, A. & Santosa, P.I. 2011. Neural network application
on foliage plant identification. Int. J. of Computer Applications 29(9): 15-22.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra. Penerbit Andi:
Yogyakarta.
Listia, R. & Harjoko, A. 2014. Klasifikasi massa pada citra mammogram berdasarkan
grey level cooccurence matrix (GLCM). Indonesian Journal of Computing and
Cybernetics Systems 8(1): 59-68.
Mandang, Y.L. & Pandit, I.K.N. 1997. Pedoman Identifikasi Jenis Kayu di Lapangan.
Seri Manual. PROSEA: Bogor.
Moeslund, T. B. 2012. Introduction to Video and Image Processing: Building Real
Systems and Applications. Springer: London.
Mohan, S., K. Venkatachalaphaty, K. & Sudhakar, P. 2014. An intelligent recognition
system for identification of wood species. Journal of Computer Science 10(7):
1231-1237.
Pathak, B. & Barooah, D. 2013. Texture analysis based on the gray level co-occurence
matrix considering possible orientations. Int. J. of Advanced Research in
Electrical, Electronics and Instrumentation Engineering 2(9): 4206-4212.
Priyani, D. R. E. 2009. Aplikasi diagnosa gangguan lambung melalui citra iris mata
dengan syaraf tiruan propagasi balik. Skripsi. Universitas Pembangunan
Nasional “Veteran” Jakarta.
Purnamasari, R. W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri
Semarang.
Risaldi, M., Purwanto & Himawan, H. 2014. Klasifikasi kualitas kayu kelapa
menggunakan algoritma neural network backpropagation. Jurnal Teknologi
Informasi 10(1): 69-78.
Universitas Sumatera Utara
79
Wicaksono, D. G. 2008. Perangkat lunak identifikasi nilai nominal dan keaslian uang
kertas rupiah menggunakan jaringan syaraf tiruan backpropagation. Skripsi.
Universitas Indonesia.
Zhou, H. & Wu, J. & Zhang, J. 2010. Digital Image Processing: Part I (1st edition).
(Online)
http://bookboon.com/en/digital-image-processing-part-one-ebook
(Juli 2015).
Universitas Sumatera Utara
Ahmad, A. & Yusof, R. 2013. Clustering the tropical wood species using kohonen selforganizing map. Proceedings of 2nd International Conference on Advances in
Computer Science and Engineering, pp. 16-19.
Atomi, W. H. 2012. The effect of data preprocessing on the performance of artificial
neural networks techniques for classification problems. Tesis. University Tun
Hussein Onn Malaysia.
Azizi, M.F.Q. 2013. Perbandingan antara metode backpropagation dengan metode
learning vector quantization (LVQ) pada pengenalan citra barcode. Skripsi.
Universitas Negeri Semarang.
Bond, B. & Hamner, P. 2002. Wood Identification for Hardwood and Softwood Species
Native to Tennessee. Agricultural Extension Service: Knoxville.
Darmawan, D. 2010. Pengenalan wajah dengan metode backpropagation menggunakan
kamera CCTV inframerah. Skripsi. Universitas Indonesia.
Ferguson, J. R. 2007. Using the grey-level-co-occurrence matrix to segment and classify
radar imagery. Tesis. University of Nevada.
Gadkari, D. 2004. Image quality analysis using GLCM. Tesis. University of Central
Florida.
Gonzalez, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall: New
Jersey.
Gunawan, A.A.G.R., Nurdiati, S. & Arkeman, Y. 2011. Identifikasi jenis kayu
menggunakan support vector machine berbasis data citra. Jurnal Ilmu Komputer
Agri-Informatika 3(1): 1-8.
Hajek, M. 2005. Neural Networks. University of KwaZulu-Natal Press: Durban.
Universitas Sumatera Utara
78
Hasmiati. 2013. Image smoothing dengan menggunakan metode lowpass filter. Skripsi.
Universitas Islam Negeri Sultan Syarif Kasim Riau.
Kadir, A., Nugroho, L.E., Susanto, A. & Santosa, P.I. 2011. Neural network application
on foliage plant identification. Int. J. of Computer Applications 29(9): 15-22.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra. Penerbit Andi:
Yogyakarta.
Listia, R. & Harjoko, A. 2014. Klasifikasi massa pada citra mammogram berdasarkan
grey level cooccurence matrix (GLCM). Indonesian Journal of Computing and
Cybernetics Systems 8(1): 59-68.
Mandang, Y.L. & Pandit, I.K.N. 1997. Pedoman Identifikasi Jenis Kayu di Lapangan.
Seri Manual. PROSEA: Bogor.
Moeslund, T. B. 2012. Introduction to Video and Image Processing: Building Real
Systems and Applications. Springer: London.
Mohan, S., K. Venkatachalaphaty, K. & Sudhakar, P. 2014. An intelligent recognition
system for identification of wood species. Journal of Computer Science 10(7):
1231-1237.
Pathak, B. & Barooah, D. 2013. Texture analysis based on the gray level co-occurence
matrix considering possible orientations. Int. J. of Advanced Research in
Electrical, Electronics and Instrumentation Engineering 2(9): 4206-4212.
Priyani, D. R. E. 2009. Aplikasi diagnosa gangguan lambung melalui citra iris mata
dengan syaraf tiruan propagasi balik. Skripsi. Universitas Pembangunan
Nasional “Veteran” Jakarta.
Purnamasari, R. W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri
Semarang.
Risaldi, M., Purwanto & Himawan, H. 2014. Klasifikasi kualitas kayu kelapa
menggunakan algoritma neural network backpropagation. Jurnal Teknologi
Informasi 10(1): 69-78.
Universitas Sumatera Utara
79
Wicaksono, D. G. 2008. Perangkat lunak identifikasi nilai nominal dan keaslian uang
kertas rupiah menggunakan jaringan syaraf tiruan backpropagation. Skripsi.
Universitas Indonesia.
Zhou, H. & Wu, J. & Zhang, J. 2010. Digital Image Processing: Part I (1st edition).
(Online)
http://bookboon.com/en/digital-image-processing-part-one-ebook
(Juli 2015).
Universitas Sumatera Utara