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Subanar
Subanar
Professor of Mathematics, Gadjah Mada University
Verified email at ugm.ac.id
Title
Cited by
Cited by
Year
Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model
W Sulandari, H Utami
International Journal of Advances in Intelligent Informatics 2 (3), 131-139, 2016
302016
H-WEMA: A New Approach of Double Exponential Smoothing Method
S Hansun, S Subanar
TELKOMNIKA (Telecommunication Computing Electronics and Control) 14 (2), 772-777, 2016
262016
Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks
W Sulandari, S Subanar, MH Lee, PC Rodrigues
MethodsX 7, 101015, 2020
252020
SSA-based hybrid forecasting models and applications
W Sulandari, S Subanar, S Suhartono, H Utami, MH Lee, PC Rodrigues
Bulletin of Electrical Engineering and Informatics 9 (5), 2178-2188, 2020
202020
Klasifikasi Naïve Bayes untuk Prediksi Kelahiran pada Data Ibu Hamil
A Nugroho
BIMIPA 23 (3), 297-308, 2013
202013
Brown’s Weighted Exponential Moving Average Implementation in Forex Forecasting
S Hansun, S Subanar
TELKOMNIKA (Telecommunication Computing Electronics and Control) 15 (3 …, 2017
152017
Konsistensi dan Asimtotik Normalitas Model Multivariate Adaptive Regression Spline (Mars) Respon Biner Consistency and Asymptotic Normality of Maximum Likelihood Estimator in …
BW Otok
vol 10, 133-140, 2009
142009
Development of model building procedures in wavelet neural networks for forecasting non-stationary time series
S Suhartono, S Subanar
European Journal of Scientific Research 34 (3), 416-427, 2009
142009
The optimal determination of space weight in GSTAR model by using cross-correlation inference
S Suhartono, S Subanar
Quant. Methods 2 (2), 45-53, 2006
142006
A tuned Holt-Winters white-box model for COVID-19 prediction
S Hansun, V Charles, T Gherman, Subanar, CR Indrati
International Journal of Management and Decision Making 20 (3), 241-262, 2021
132021
Ordinal Regression Model using Bootstrap Approach
BW Otok, MS Akbar, S Guritno, S Subanar
Jurnal ILMU DASAR 8 (1), 54-67, 2007
92007
Model Selection in Neural Networks by Using Inference of R 2 Incremental, PCA, and SIC Criteria for Time Series Forecasting
S Suhartono, S Guritno
JOURNAL OF QUANTITATIVE METHODS: Journal Devoted to The Mathematical and …, 2006
92006
General Regression Neural Network (GRNN) pada Peramalan Kurs Dolar dan Indeks Harga Saham Gabungan (IHSG)
LPW Adnyani, S Subanar
Faktor Exacta 8 (2), 137-144, 2015
72015
ESSA: Exponential smoothing and spatial autocorrelation, methods for prediction of outbreaks pest in Indonesia
SYJ Prasetyo, S Subanar, E Winarko, BS Daryono
International Review on Computers and Software (IRECOS) 10 (4), 362, 2015
72015
The Prediction of Population Dynamics Based on the Spatial Distribution Pattern of Brown Planthopper (Nilaparvata lugen Stal.) Using Exponential Smoothing-Local Spatial Statistics
SYJ Prasetyo, E Winarko, BS Daryono
Journal of Agricultural Science 5 (5), 209, 2013
72013
Rancang Bangun Sistem “Permadi”: Peringatan Dini Serangan Hama Tanaman Padi Berbasis Data Historis Klimatologi
T Wahyono, S Subanar
Jurnal Sistem Komputer 2 (1), 9-16, 2012
72012
Wavelet decomposition for time series: Determining input model by using mRMR criterion
B Warsito, S SUBANAR, A ABDURAKHMAN
Hacettepe Journal of Mathematics and Statistics 44 (1), 229-238, 2015
62015
A New Method for Generating Fuzzy Rules from Training Data and Its Applications to Forecasting Inflation Rate and Interest Rate of Bank Indonesia Certificate
AM Abadi, W Subanar, S Saleh
Journal of Quantitative Methods 5 (2), 78-83, 2009
62009
Peramalan Beban Listrik Daerah Istimewa Yogyakarta dengan Metode Singular Spectrum Analysis (SSA)
H Utami, YW Sari, S Subanar, A Abdurakhman, G Gunardi
Media Statistika 12 (2), 214-225, 2019
52019
Fuzzy model translation for time series data in the extent of median error and its application
AM Abadi
Applied Mathematical Sciences 8 (43), 2113-2124, 2014
52014
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