ALGORITMA / METODE WAVELET NEURAL NETWORK SEBAGAI PREDIKSI CURAH HUJAN
(1) Fakultas Teknologi Informasi Universitas Islam Kalimantan
(2) Fakultas Teknologi Informasi Universitas Islam Kalimantan
(*) Corresponding Author
Sari
Prakiraan cuaca yang diterbitkan BMKG ke masyarakat masih berkisar pada prediksi musim tidak konsenterasi pada tingkat curah hujan, BMKG memiliki data tingkat curah hujan dandata prediksi dari beberapa peneliti namun belum dioptimalkan sebagai informasi prediksi yang diharapkan. Oleh karena itu diperlukan metode yang akurat sehinga dapat memberikan nilai akurasi yang diharapkan.Karena data curah hujan termasuk data rentet waktu, sehingga dapat dianalisa dan diprediksi dengan pendekatan statistik dan atau softcomputing seperti neural network.Sementara itu, di dalam Artificial Neural Network, Transformasi Wavelet adalah satu metode transformasi berbasis analisa sinyal. Wavelet sensitif terhadap perubahan frekuensi dan dapat menentukan waktu ketika perubahan frekuensi terjadi. Karena itu, Transformasi Wavelet akan digunakan untuk memperbaiki bobot-bobot hubungan antar neuron dalam layer berbeda. Dengan demikian, penelitian ini menggunakan algoritma Wavelet Neural Network (WNN) sebagai pendekatan untuk memprediksi curah hujan.
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BMKG, Prakiraan Musim Hujan 2010/2011 di Indonesia, 2010.
Wint Thida Zaw and Thinn Thu Naing, "Modeling of Rainfall Prediction over Myanmar Using Polynomial Regression," in 2009 International Conference on Computer Engineering and Technology, 2009, pp. 316-320.
Budi Warsito and Sri Sumiyati, Prediksi Curah Hujan Kota Semarang Dengan FeedForward NN Menggunakan Algoritma Quasi Newton BFGS dan Levenberg- Marquardt, 2005.
Zhi-liang Wang and Hui-hua Sheng, "Rainfall Prediction Using Generalized Regression Neural Network: Case study Zhengzhou," in 2010 International Conference on Computational and Information Sciences, 2010, pp. 1265-1268.
Yuhui Wang, Yunzhong Jiang, Xiaohui Lei, and Wang Hao, "Rainfall-Runoff Simulation Using Simulated Annealing Wavelet BP Neural Network," in 2010 International Conference on Intelligent Computation Technology and Automation, 2010, pp. 963-967.
Kadarsah and Ahmad Sasmita, "Standardisasi Metadata Klimatologi Dalam Penelitian Perubahan Iklim Di Indonesia," in Prosiding PPI Standardisasi 2010, Banjarmasin, 2010, pp. 1-18.
Handoko, Ed., Klimatologi Dasar. Jakarta: Pustaka Jaya, 1994.
Edvin Aldrian, "Simulations of Indonesian Rainfall with a Hierarchy of Climate Models," Max-Planck-Institute for Meteorology, Hamburg, Dissertation: Examensarbeit Nr. 92 ISSN 0938-5177, 2003.
Suyanto, Artificial Intelligenc: Searching, Reasoning, Planning, and Learning. Bandung: Penerbit Informatika, 2007.
Siang Jong Jek, Jaringan Syaraf Tiruan dan Pemrogramannya, 2nd ed. Yogyakarta: Penerbit Andi, 2009.
Suyanto, Soft Computing: Membangun Mesin Ber-IQ Tinggi. Bandung, Jawa Barat, Indonesia: Informatika, 2008.
J.S.R. Jang, C.T. Sun, and E. Mizutani., Neuro-Fuzzy and Soft Computing. New Jersey: Prentice-Hall, 1997.
The MathWorks, Neural Network Toolbox: User’s Guide ver.7, Mark Hudson Beale, Martin T. Hagan, and Howard B Demuth, Eds., 2010.
Qin Ju et al., "Streamflow simulation with an integrated approach of wavelet analysis and artificial neural networks," in Fourth International Conference on Natural Computation, 2008, pp. 564-569.
Tan Chong and Christian N.S. Pedersen, Financial Time Series Forecasting Using Improved Wavelet Neural Network, 2009.
Yafei Huang, "Short-term Traffic Flow Forecasting Based on Wavelet Network Model Combined with PSO," in 2008 International Conference on Intelligent Computation Technology and Automation, 2008, pp. 249-253.
David Veitch, "Transformasi wavelet and their application in the study of dynamical systems," Department of Mathematics - University of York - UK, Dissertation submitted for the MSc in Data Analysis, Networks and Nonlinear Dynamics 2005.
Gao Guorong and Liu Yanping, "Traffic Flow Forecasting based on PCA and Wavelet Neural Network," in 2010 International Conference of Information Science and Management Engineering, 2010, pp. 158-161.
Phang Ming-bao and Zhao Xin-ping, "Traffic Flow Prediction of Chaos Time Series by Using Subtractive Clustering for Fuzzy Neural Network Modeling," in Second International Symposium on Intelligent Information Technology Application, Beijing, 2008, pp. 23-27.
The MathWorks, Wavelet Toolbox: User’s Guide ver.1, Misiti Michel et al., Eds.: The MathWorks, Inc., 1996.
DOI: http://dx.doi.org/10.31602/ppdu.v0i1.8108
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