125

DAFTAR PUSTAKA

Acharya, T & Ray, A.K. (2005). Image Processing, Principles and Applications.

New Jersey: John Wiley & Sons, Inc.

Achmad Fauqy Ashari, Wiwik Anggraini & Ahmad Mukhlason. (2012).

Implementasi Fuzzy Neural Network pada Sistem Cerdas untuk

Pendeteksian dan Penanganan Dini Penyakit Sapi. Jurnal Teknik ITS. Vol.

1, A-385 s.d A-390.

American Cancer Society. (2015). Breast Cancer Facts & Figures 2015-2016.

Atlanta: American Cancer Society.

Anami, B.S & Burkpalli, V.C. (2009). Texture based Identification and

Classification of Bulk Sugary Food Objects. ICGST-GVIP Journal. Vol.

9, Issue 4. Hal 9-14.

Ani Rahmadiani & Wiwik Anggraeni. (2012). Implementasi Fuzzy Neural

Network untuk Memperkirakan Jumlah Kunjungan Pasien Poli Bedah di

Rumah Sakit Onkologi Surabaya. Jurnal Teknik ITS. Vol. 1, A403-A407.

Chak, C.K et al. (1998). Implementation of Fuzzy Systems dalam Leondes, C.T.

1998. Fuzzy Logic and Expert Systems Applications. Volume 6 of Neural

Network Systems Techniques and Apllications. London: Academic Press.

Chandra Prasetyo U, Aan Kardiana & Rika Yuliwulandari. (2014). Breast Cancer

Diagnosis using Artificial Neural Networks with Extreme Learning

Techniques. International Journal of Advanced Research in Artificial

Intelligence (IJARAI). Vol.3, No.7, Hlm 10-14.

Darma Putra. (2010). Pengolahan Citra Digital. Yogyakarta: ANDI OFFSET.

Edy Irwansyah & Muhammad Faisal. (2015). Advanced Clustering: Teori dan

Aplikasi. Jakarta: Bina Nusantara University.

Fatima, B & Amine, C.M. (2012). A Neuro-Fuzzy Inference Model for Breast

Cancer Recognition. International Journal of Computer Science &

Information Technology (IJCSIT). Vol 4, No.5, Hlm 163-173.

Fausett, L. (1994). Fundamentals of Neural Network: Archetectures, Algoruthms,

and Applications. Upper Saddle River, New-Jersey: Prentice-Hall.

Fuller, R. (1995). Neural fuzzy Systems. Abo Academy University.

126

Haralick, R.M, Shanmugam, K & Dinstein, I. (1973). Textural Features for Image

Classification. IEEE Transactions on Systems , Man and Cybernetics.

Vol. SMC-3, No. 6. Hal 610-621.

Hota, H.S, Shrivas, A.K & Singhai, S.K. (2013). Artificial Neural Network,

Decision Tree and Statistical Techniques Applied for Designing and

Developing E-mail Classifier. International Journal of Recent Technology

and Engineering, Issue 6, Hlm. 164-169.

Kasabov, N. (2002) Evolving Connectionist Systems. London: Springer.

Keles, A & Keles, A. (2013). Extracting Fuzzy Rules for the Diagnosis of Breast

Cancer. Turkish Journal of Electrical Engineering and Computer

Sciences. 21. Hlm. 1495-1503.

Kementerian Kesehatan RI. (2015). InfoDATIN Pusat Data dan Informasi

Kementerian Kesehatan RI. Diakses dari

http://www.depkes.go.id/resources/download/pusdatin/infodatin/infodatin-

kanker.pdf pada 02 Februari 2016 pukul 00.30 WIB.

Komite Nasional Penanggulangan Kanker, Kementerian Kesehatan RI. (2015).

Panduan Nasional Penanganan Kanker Payudara. Diakses dari

http://kanker.kemkes.go.id/guidelines/PPKPayudara.pdf pada 02 Februari

2016 pukul 00.45 WIB.

Kumar, A.V, Aruna & Reddy, M.V. (2011). A Fuzzy Neural Network for Speech

Recognition. ARPN Journal of Systems and Software. Vol. 1, No. 9.

Kurrotul A’yun. (2015). Optimisasi Sistem Fuzzy pada Diagnosis Kanker

Payudara Menggunakan Citra Mammogram yang Diimplementasikan

dengan Graphical User Interface (GUI). Skripsi Universitas Negeri

Yogayakarta.

Manajemen Modern dan Kesehatan Masyarakat. (2011). Kanker Payudara.

Diakses dari http://www.itokindo.org/?wpfb_dl=135 pada 04 Februari

2016 pukul 10.45 WIB.

Mukhtar Hanafi. (2012). Aplikasi Fuzzy Neural Network (FNN) pada Sistem

Kontrol dengan Waktu Tunda. Seminar Nasional Informatika. A-82 s.d A-

89.

National Breast Cancer Foundation. (2015). Breast Tumors. Diakses dari

http://www.nationalbreastcancer.org/breast-tumors pada tanggal 2 Maret

2016 pukul 17.30 WIB.

127

Noor Uswah Makhfudhoh. (2014). Klasifikasi Kanker Payudara dari Citra

Mammografi Menggunakan Model Fuzzy Neural Network. Skripsi

Universitas Negeri Yogyakarta.

Park, Sungwoo & Han, Taisook. (2000). Iterative Inversion of Fuzzified Neural

Networks. IEEE Transaction on Fuzzy Systems, Vol.8, No.3.

Renzetti, F.R & Zortea, L. (2011). Use of Gray Level Co-Occurrence Matrix to

Characterize Duplex Stainless Steel Phases Microstructure. Frattura ed

Integrita Strutturale. Hal 43-51.

Rinaldi Munir. (2004). Pengolahan Citra Digital dengan Pendekatan Algoritmik.

Bandung: Informatika.

Ross, T.J, (2010). Fuzzy Logic with Engineering Applications, Third Edition.

United Kingdom: John Willey & Sons, Ltd.

Samarasinghe, S. (2007). Neural Networks for Applied Sciences and Engineering.

New York: Auerbach Publications.

Senol, C & Yildirim, T. (2009). Thyroid and Breast Cancer Disease using Fuzzy-

Neural Networks. Istanbul, Turkey. II-390 s.d II-393.

Sharma, M. & Mukharjee, S. (2013). Artificial Nueral Network Fuzzy Inference

System (ANFIS) for Brain Tumor Detection. Advances in Intelligent

System

and Computing. Vol. 177. Hlm. 329-339.

Siang, J.J. (2009). Jaringan Syaraf tiruan dan Pemrogramannya Menggunakan

Matlab. Yogyakarta: Andi Offset.

Soh, L.K & Tsatsoulis, C. (1999). Texture Analysis of SAR Sea Ice Imagery

Using Gray Level Co-Occurrence Matrices. IEEE Transactions on

Geoscience and Remote Sensing. Vol. 37, No. 2. Hal 780-795.

Sri Kusumadewi. (2004). Membangun Jaringan Syaraf Tiruan (menggunakan

MATLAB & Excel Link). Yogyakarta: Graha Ilmu.

Sri Kusumadewi & Sri hartati. (2010). Neuro Fuzzy: Integrasi Sistem Fuzzy &

Jaringan Syaraf Edisi 2. Yogyakarta: Graha Ilmu.

The Pilot European Image Processing Archive. (2004). Diakses dari

http://peipa.essex.ac.uk/pix/mias pada tanggal 8 Maret 2016 pukul 20.30

WIB.

128

Thein, H.T.T & Tun, K.M.M. (2015). An Approach For Breast Cancer Diagnosis

Classification Using Neural Network. Advanced Computing: An

International Journal (ACIJ). Vol. 6, No. 1, Hal. 1-11.

Tita Suwening Apriani. (2015). Perbandingan Klasifikasi Kanker Payudara

Menggunakan Model Recurrent Neural-Network, Fuzzy Sugeno, dan

Recurrent Neuro-Fuzzy. Skripsi Universitas Negeri Yogyakarta.

Wong, H.B & Lim, G.H. (2011). Measures of Diagnostic Accuracy: Sensitivity,

Specificity, PPV and NPV. Proceedings of Singapore Healthcare. Vol.

20. Hal 316-318.

Yunidha Ekasari. (2015). Diagnosis Kanker Serviks Menggunakan Model

Recurrent Neural Network (RNN) Berbasis Graphical User Interface

(GUI). Skripsi Universitas Negeri Yogyakarta.

Zadeh, H.G, Haddadnia, J, Hashemian, M & Hassanpour, K. (2012). Diagnosis of

Breast Cancer using a Combination of Genetic Algoritm and Artificial

Neural Network in Medical Thermal Imaging. Iranian journal of Medical

Physics. Vol. 9, No. 4, Hal. 265-274.

Zhu W, Zeng N & Wang, N. (2010). Sensitivity, Specificity, Accuracy,

Associated Confidence Interval and ROC Analysis with Practical SAS

Implementations. Health Care and Life Sciences. Hal 1-9.

Zimmermann, H.J. (1996). Fuzzy Theory Set and Its Applications 3rd Edition.

London: Kluwer Academic Publisher.