DAFTAR PUSTAKA
Akaike, H. (1974). A New Look at the Statistical Model Identification, IEEE Transaction on Automatic Control, AC-19, 716-723. Badan Pusat Statistik. (2009). Pedoman Pengolahan Statistik Pertanian. Jakarta: Badan Pusat Statistik Badan Pusat Statistik. (2011). Data Strategis BPS. Jakarta: Badan Pusat Statistik. Besse, P. C., Cardot, H. dan Stephenson, D. B. (2000). Autoregressive forecasting of some functional climatic variations. Scandinavian Journal of Statistics, 27, 673-687. Bowerman, B. I. dan O’Connel, R. T. (1993). Forecasting and Time Series in Applied Approach, 3rd Edition. California: Duxbury Press. Box, G. E. P., Jenkins, G.M. dan Reinsel, G.C. (1994). Time Series Analysis Forecasting and Control, 3rd Edition. New Jersey: Prentice Hall. Box, G. E. P. dan Pierce, D. A. (1970). Distribution of residual correlations in autoregressive-integrated moving average time series models. Journal of the American Statistical Association, 65, 1509–1526. Budiarti, N. (2001). Efisiensi Usaha Tani Bawang Daun: Studi Kasus Desa Gede Pangrano, Kab. Sukabumi, Jawa Barat. Skripsi. Jakarta: STIS. Chang, J., Wei, L. dan Cheng, C. (2011). A Hybrid ANFIS Model Based on AR and Volatility for TAIEX Forecasting. Applied Soft Computing, 11, 13881395. Chen, C. F., Chang, Y. H. dan Chang, Y. W. (2009). Seasonal ARIMA forecasting of inbound air travel arrivals to Taiwan. Transportmetrica, 5, 125-140. Chen, M., Ying, L. dan Pan, M. (2010). Forecasting Tourist Arrivals by Using The Adaptive Network-based Fuzzy Inference System. Expert Systems with Applications, 37, 1185-1191. Cheng, C. dan Wei, L. (2010). One Step-ahead ANFIS Time Series Model for Forcasting Electricity loads. Springer, Optim Eng, 11, 303-317. Crone, S.F. dan Kourentzes, N. (2009). Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series
151
Frequency, Proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, USA, 14-19 Juni 2009. Cryer, J. D. dan Chan, K. (2008). Time Series Analysis with Applications in R, 2nd Edition. New York: Springer. Daniel, W. W. (1989). Statistika Nonparametrik Terapan. Jakarta: Gramedia. Edlurd, P. dan Karlsson, S. (1993). Forecasting The Swedish Unemployment rate VAR vs. Transfer Function Modelling. International Journal of Forecasting, 9, 61-76. Esen, H. dan Inalli, M. (2010). ANN and ANFIS Models for Performance Evaluation of A Vertical Ground Source. Expert Systems with Applications, 37, 8134-8147. Fariza, A., Hellen, A. dan Rasyid, A. (2007). Performansi Neuro Fuzzy Untuk Peramalan Data Time Series. Seminar Nasional Aplikasi Teknologi Informasi, Yogyakarta. Gujarati, D. N. (2004). Basic Econometrics, 4th edition. New York: McGraw-Hill. Hanke, J. E dan Wichern, D. W. (2005). Business Forecasting, 8th Edition. New Jersey: Prentice Hall. Haykin, S. (1999). Neural Networks: A Comprehensive Foundation, 2nd Edition. Oxford: Prentice Hall. Harvey, A.C. (1990). Econometrics analysis of time series. 2nd Edition. Cambridge: MIT Press. Hercahyo, W. (2008). Pemodelan Luas Panen Padi Sawah di Propinsi Sulawesi Tenggara Dengan Space-Time. Tesis. Surabaya: ITS. Hilas, C. S., Goudos, S. K. dan Sahalos, J. N. (2006). Seasonal decomposition and forecasting of telecommunication data: A comparative case study. Technological Forecasting and Social Change, 73, 495-509. Hilmaz, I. dan Kaynar, O. (2011). Multiple Regression, ANN (RBF, MLP) and ANFIS Models for Prediction of Swell Potential of Clayey Soils. Expert Systems with Applications, 38, 5958-5966. Ho, C. P. dan Yim, J. Z. (2005). Wave Height Forecasting by The Tranfer Function. Ocean Engineering, 33, 1230-1248. Jang, J.S.R. (1996). Fuzzy Systems, Proceedings of the Fifth IEEE International Conference, New Orleans, Los Angeles, USA, 8-11 September 1996. 152
Jang, J. S. R., Tsun, C. T. dan Mizutani, E. (1997). Neuro Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence. New Jersey: Prentice Hall. Jia, J., Zhao J., Deng, H. dan Duan, J. (2010). Ecological footprint simulation and prediction by ARIMA model - A case study in Henan Province of China. Ecological Indicators, 10, 538-544. Kusumadewi, S. (2010). Neuro-Fuzzy Integrasi Sistem Fuzzy & Jaringan Syaraf. Yogyakarta: Graha Ilmu. Lee, T.H., White, H. dan Granger, C.W.J. (1993). Testing for Neglected Nonlinearity in Time Series Models: A comparison of Neural Network methods and alternative test. Journal of Econometrics, 56, 269-290. Li, Y., Campbell, E. P., Haswell, D., Sneeuwjagt, R. J. dan Venables, W. N. (2003). Statistical forecasting of soil dryness index in the southwest of Western Australia. Forest Ecology and Management, 183, 147-157. Ljung, G.M. dan Box, G.E.P. (1978). On a Measure of Lack of Fit in Time Series Models. Biometrika, 65, 297-303. Makridakis, S. dan Hibon, M. (2000). The M3-Competition: results, conclusions and implications. International Journal of Forecasting, 16, 451–476. Makridakis, S., Wheelwright, S. C. dan McGee, V. E. (1998). Metode dan Aplikasi Peramalan, Edisi Kedua. Jakarta: Binarupa Aksara Mulyana. (2004). Analisis Data Deret Waktu. Buku Ajar. Bandung: Universitas Padjadjaran. Naylor, R. L., Falcon, W. P., Rochberg, D. dan Nikolaswada. (2001). Using El Niño/Southern Oscillation Climate Data to Predict Rice Production in Indonesia. Climatic Change, 50, 255-265. Salamah, M., Suhartono dan Wulandari, S. (2003). Analisis Time Series. Buku Ajar. Surabaya: ITS. Schwarz, G. (1978). Estimating the Dimension of a Model, Annals of Statistics, 6, 461-464. Scortti, M., Cattan, P. dan Canals, M. (1997). Forecast of canine rabies in Argentina, Bolivia and Paraguay, using time series analysis. Archivos de Medicina Veterinaria, 29, 83-89.
153
Subanar dan Suhartono (2006). Uji linearitas tipe Lagrange Multiplier dengan ekspansi Taylor untuk deteksi hubungan nonlinear pada data time series. Journal of The Indonesian Mathematical Society (MIHMI), 12 (1), 17-32. Sudarmadi, D. (2008). Analisis Efek Perubahan IHPB Impor Terhadap Tujuh Kelompok IHK di Indonesia Menggunakan Model Fungsi Transfer Dengan Deteksi Outlier. Tesis. Surabaya: ITS. Suharmoko, G. (2002). Kajian Analisis Intervensi-Fungsi Transfer dan Artificial Neural Network Pada Pemodelan Deret Waktu: Studi Kasus Data Pariwisata Bali. Tesis. Surabaya: ITS. Suhartono. (2002). Model Akhir Fungsi Transfer. Bahan Ajar. Surabaya: ITS Suhartono (2007). Feedforward Neural Networks Untuk Pemodelan Runtun Waktu. Disertasi. Yogyakarta: Universitas Gadjah Mada. Syafii, I. (2006). ANFIS untuk Diagnosa dan Tatalaksana Penyakit Demam Berdarah Dengue. Tesis. Bogor: IPB Tambunan, T. (2007). Perkembangan Sektor Pertanian di Indonesia beberapa Isu Penting. Jakarta: Ghalia Indonesia. Talebizadeh, M. dan Moridnejad, A. (2011). Uncertainty Analysis for The Forecast of Lake Level Fluctuations Using Ensembles of ANN and ANFIS models. Expert Systems with Applications, 38, 4126-4135. Tankersley, C. D., Graham, W. D. dan Hatfield, K. (1993). Comparison of Univariate and Transfer-Function Models of Groundwater Fluctuations. Water Resources Research, 29, 3517-3533. Terasvirta, T., Lin, C.-F. dan Granger, C.W.J. ”Power of the Neural Networks Linearity Test”, Journal of Time Series Analysis, 14 (1993), 159-171. Thomakos, D. D. dan Geurard, J. B. (2004). Naïve, ARIMA, Nonparamteric, Transfer Function and VAR Models: A Comparison of Forecasting Performance. International Journal of Forecasting, 20, 53-67. Veloce, W. (1996). An evaluation of the leading indicators for the Canadian economy using time series analysis. International Journal of Forecasting, 12, 403-416. Voyant, C., Muselli, M., Paoli, C. dan Nivet, ML. (2011). Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation. Energy, 36, 348-359.
154
Wang, C. C. (2011). A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export. Expert Systems with Applications, 38, 9296-9304. Wang, F. dan Chang, K. (2010). Adaptive Neuro-fuzzy Inference System for Combined Forecasts in A Panel Manufacturer. Expert Systems with Applications, 37, 8119-8126. Wang, F., Chang, K. dan Tzeng, C. (2011). Using Adaptive Network-based Fuzzy Inference System to Forecast Automobile Sales. Expert Systems with Applications, 38, 10587-10593. Wei, W. W. S. (2006). Time Series Analysis Univariate and Multivariate Methods, 2nd Edition. New York: Addison Wesley Publishing Company, Inc. Wijaya, A. (2005). Pengaruh Imported Inflation Terhadap Laju Inflasi di Indonesia (Periode Juli 1998-Desember 2004). Skripsi. Jakarta: STIS. Zadeh, L. A. (1965). Fuzzy Sets. Inform and Control, 8, 338-353. Zounermat-Kermani, M. dan Teshnehlab, M. (2008). Using Adaptive Neurofuzzy Inference System for Hydrological Time Series Prediction. Applied Soft Computing, 8, 928-936.
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