DAFTAR PUSTAKA
Ahmad, A. & Yusof, R. 2013. Clustering the tropical wood species using kohonen self-organizing 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.
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.
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).