Suhartono
Title
Cited by
Cited by
Year
Social vulnerability to natural hazards in Indonesia: driving factors and policy implications
TH Siagian, P Purhadi, S Suhartono, H Ritonga
Natural hazards 70 (2), 1603-1617, 2014
1692014
Calendar variation model based on ARIMAX for forecasting sales data with Ramadhan effect
MH Lee, Suhartono, NA Hamzah
Proceedings of the Regional Conference on Statistical Sciences, 349-361, 2010
852010
Streamflow forecasting using least-squares support vector machines
A Shabri, Suhartono
Hydrological Sciences Journal 57 (7), 1275–1293, 2012
782012
Two-level seasonal model based on hybrid ARIMA-ANFIS for forecasting short-term electricity load in Indonesia
Suhartono, I Puspitasari, MS Akbar, MH Lee
Statistics in Science, Business, and Engineering (ICSSBE), 2012 …, 2012
73*2012
Artificial neural networks and fuzzy time series forecasting: an application to air quality
NHA Rahman, MH Lee, MT Latif, Suhartono
Quality & Quantity 49 (6), 2633-2647, 2015
542015
Short term load forecasting using double seasonal ARIMA model
N Mohamed, MH Ahmad, Z Ismail, Suhartono
Proceedings of the regional conference on statistical sciences 10, 57-73, 2010
482010
Seasonal ARIMA for forecasting air pollution index
MH Lee, NHA Rahman, MT Latif, ME Nor, NAB Kamisan, Suhartono
American Journal of Applied Sciences 9 (4), 570-578, 2012
462012
Development of rainfall forecasting model in Indonesia by using ASTAR, transfer function, and ARIMA methods
BW Otok, Suhartono
European Journal of Scientific Research 38 (3), 386-395, 2009
41*2009
Intervention model for analyzing the impact of terrorism to tourism industry
Z Ismail, A Yahaya, Suhartono
Journal of Mathematics and statistics 5 (4), 322-329, 2009
362009
Two levels ARIMAX and regression models for forecasting time series data with calendar variation effects
Suhartono, MH Lee, DD Prastyo
INNOVATION AND ANALYTICS CONFERENCE AND EXHIBITION (IACE 2015): Proceedings …, 2015
35*2015
Lee and NA Hamzah,“Calendar Variation Model Based on Time Series Regression for Sales Forecasts: The Ramadhan Effect”
Suhartono, MH Lee, NA Hamzah
Proceedings of the Regional Conference on Statistical Sciences 2010, 30-41, 2010
31*2010
Forecasting of air pollution index with artificial neural network
NH Abd Rahman, MH Lee, MT Latif, S Suhartono
Jurnal Teknologi 63 (2), 2013
292013
Double seasonal ARIMA model for forecasting load demand
N Mohamed, MH Ahmad, Z Ismail, Suhartono
Matematika 26, 217-231, 2010
292010
GSTARX-GLS model for spatio-temporal data forecasting
S Suhartono, S Setiawan, SR Wahyuningrum, MS Akbar
Malaysian Journal of Mathematical Sciences 10, 91-103, 2016
28*2016
Indonesian financial data modeling and forecasting by using econometrics time series and neural network
S Sukono, Y Hidayat, S Suhartono, B Sutijo, AT Bon, S Supian
Global Journal of Pure and Applied Mathematics 12 (4), 3745-3757, 2016
28*2016
Roll motion prediction using a hybrid deep learning and ARIMA model
N Suhermi, S Suhartono, DD Prastyo, B Ali
Procedia computer science 144, 251-258, 2018
272018
Spline estimator for bi-responses and multi-predictors nonparametric regression model in case of longitudinal data
AAR Fernandes, IN Budiantara, BW Otok, S Suhartono
Journal of Mathematics and Statistics 11 (2), 61, 2015
262015
S-GSTAR-SUR model for seasonal spatio temporal data forecasting
S Setiawan, S Suhartono, M Prastuti
Malaysian Journal of Mathematical Sciences 10, 53-65, 2016
252016
Calendar variation model based on Time Series Regression for sales forecasts: The Ramadhan effects
Suhartono, MH Lee, NA Hamzah
25*2010
A comparative study of forecasting models for trend and seasonal time series: does complex model always yield better forecast than simple models
S Suhartono
Jurnal Teknik Industri 7 (1), pp. 22-30, 2005
252005
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Articles 1–20