DAFTAR PUSTAKA Andi Kristanto. (2004). Jaringan Syaraf Tiruan (Konsep Dasar, Algoritma, dan Aplikasi). Yogyakarta: Gaya Media. American Cancer Society. (2013). Breast Cancer Facts and Figures 2013-2014. Atlanta: American Cancer Society Inc. Beale, Mark Hudson et al. (2010). Neural Network Toolbox TM 7 User’s Guide. Natick: The Math Works, Inc. Chris K H Teo, at al. (2004). Kanker Payudara. diakses http://www.cancerhelps.com pada tanggal 3 Februari 2015 pukul 18:00. dari Cox, Earl. (1994). The Fuzzy System Handbook (A Prsctitioner’s Guide to Building, Using,and MaintaningFuzzy System). Massachusetts: Academic Press, Inc. Fajar Solikin. (2011). Aplikasi Logika Fuzzy Dalam Optimisasi Produksi Barang Menggunakan Metode Mamdani Dan Metode Sugeno. Skripsi. UNY. Fausett, L. (1994). Fundamentals of Neural Network (Archetectures, Algoruthms, and Applications). New-Jersey: Prentice-Hall. Gale, Danielle & Charette, Jane. 2000. Rencana Asuhan Keperawatan Onkologi. Jakarta: EGC. Gontar Alamsyah Siregar. (2007). Deteksi Dini dan Penatalaksanaan Kanker Usus Besar. Medan: Universitas Sumatera Utara. Hanke, J.E. & Wichern, D.W. (2005). Bussiness Forecasting, 8th Edition. Upper Saddle River. New Jersey:Prentice Hall. Haralick, Robert M., Shanmugam, K. & Dinstein, I. (1973). Textural Features for Image Classification. IEEE Transaction on System, Man and Cybernetics, Vol. 3, Hlm. 610-621. Iman Fadli. (2011). Karsinoma Kolorektal. Yogyakarta: Universitas Islam Indonesia. Jang, J.-S. R., Sun, C.-T., & Mizutani, Eiji. (1997). Neuro-Fuzzy and Soft Computing. Upper Saddle River: Prentice Hall. Kalas, Mamata S. (2010). An Artificial Neural Network for Detection of Biological Early Brain Cancer. International Journal of computer Applications, Vol.1, No.6. Hlm. 97. 116 Keles, Ali & Keles, Ayturk. (2013). Extracting Fuzzy Rules for the Diagnosis of Breast Cancer. Turkish Journal of Electrical Engineering and Computer Sciences. 21. Hlm. 1495-1503. Klir, George J., Clair, Ute St., & Yuan, Bo. (1997). Fuzzy Set Theory Fondations and Applications. London: Prentice-Hall International. Kruse, Rudolf, dkk. (2000). Data Analysis with Neuro-Fuzzy Methods. Magdeburg : Universit¨ at Magdeburg. Lin & Lee, C.-T., & Lee, G. (1996). Neuro Fuzzy Systems. New Jersey: Prentice-Hall. Lina Mardiana. (2004). Kanker pada Wanita. Depok: Penebar Swadaya. Lord, Richard S. (2008). Laboratory Evaluations for Integrative and Functional Medicine (2 nd Edition). Duluth: Metametrix Institute. Marshall. (2000). Breast Cancer. UK: Marshall Publishing Ltd. Mendel, Jerry M. (1995). Fuzzy Logic Systems for Engineering: A Tutorial. Proceeding of the IEEE, Vol. 83, No.3. Hlm. 368. Mei Mutlimah. (2014). Penerapan Sistem fuzzy Untuk Diagnosis Kanker Payudara (Breast Cancer). Skripsi. UNY. Mohanaiah, P., Sathyanarana, P. & GuruKumar, L. (2013). Image Texture Feature Extraction Using GLCM Approach. International Journal of Scientific and Research Publications, Vol. 3, Hlm. 1-5. Nanang Hermawan. (2014). Aplikasi Model Recurrent Neural Network dan Recurrent Neuro Fuzzy Untuk Peramalan Banyaknya Penumpang Kereta Api Jabodetabek. Skripsi. UNY. Nithya, R., & Santhi, B. (2011). Classification of Normal and Abnormal Patterns in Digital Mammograms for Diagnosis of Breast Cancer. International Journal of Computer Applications( Volume 28). Hlm. 4. Osborn, Carol E. (2006). Statistical Aplications for Health Information Management (Second Edition). Missisauga: Jones and Bartlett Publisher, Inc. Pham, T. Anh. (2010). Optimization of Texture Feature Extraction Algorithm. Thesis. Delft University of Technology. Pradeep, N. et al. (2012). Feature Extraction of Mammograms. International Journal of Bioinformatics Research (Volume 4). Hlm. 241-244. Rama Diananda. (2007). Mengenal Seluk Beluk Kanker. Yogyakarta: Katahati. 117 Ross, Timothy J. (2010). Fuzzy Logic with Enginerring Applications. Singapore: Fabulous Printers Pte Ltd. Reni Setianingrum. (2014). Klasifikasi Stadium Kanker Kolorektal Menggunakan Model Recurrent Neural Network. Skripsi. UNY. Sharma, M. & Mukharjee, S. (2014). Fuzzy C-Means, ANFIS, and Genetic Algorithm for Segmenting Astroctyoma-A Tybe of Brain Tumor. IAES International Journal of Artificial Intelligence, Vol. 3, Hlm. 16-23. Sielvy Evtiana. (2013). Aplikasi Model Neuro Fuzzy untuk Memprediksi Harga Emas. Skripsi. UNY. Simon Haykin. (1999). Neural Networks A Comprehensive Foundation. New Jersey: Prentice-Hall. Soh, L. & Tsatsoulis, C. (1999). Texture Analysis of SAR Sea Ice Imagery Using Gray Level Coourance Matrices. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, Hlm. 780-795. Spitalnic, Stuart. (2004). Test properties I: Sensitivity, Specificity, and Predictive Values. Wayne: Turner White Communications Inc. Sri Kusumadewi. (2004). Membangun Jaringan Syaraf Tiruan (Menggunakan MATLAB & Excel Link). Yogyakarta: Graha Ilmu. Sri Kusumadewi dan Sri Hartati. (2010). Neuro-Fuzzy: Integrasi Sistem Fuzzy & Jaringan Syaraf. Yogyakarta: Graha Ilmu. Usman Ahmad. (2005). Pengolahan Citra Digital dan Teknik Pemrogramannya. Yogyakarta: Graha Ilmu. Varalakshmi K. (2013). Classifictain of Lung Cancer Nodules using a Hybrid Approach. Journal of Emerging Trends in Computing and Information Sciences. Vol. 4, No. 1. Department of Computer Science and Engineering SRM University. Wang, Li-Xin. (1997). A Course in Fuzzi System and Control. London: Prentice-Hall, Inc. Yushaila Nur Sajida Wijaya. (2013). Klasifikasi Stadium Kanker Serviks Menggunakan Model Fuzzy. Skripsi. UNY. Zhu, W., Zeng, N., & Wang, N. (2010). Sensitivity, Specificity, Accuracy, Associated Confidence Interval and ROC Analysis with Practical SAS 118 Implementastion. Health Care and Life Science, NESUG (SAS Global Forum). Zimmermann. (1991). Fuzzy Sets Theory and Its Applications (2 ed.). Massachusetts: Kluwer Academic Publishers. 119