S. Subanar

发表

SSA-based hybrid forecasting models and applications

Muhammad Hisyam Lee, S. Suhartono, P. Rodrigues, 2020, Bulletin of Electrical Engineering and Informatics.

An Empirical Study of Error Evaluation in Trend and Seasonal Time Series Forecasting Based on SSA

Muhammad Hisyam Lee, S. Suhartono, W. Sulandari, 2018, Pakistan Journal of Statistics and Operation Research.

H-WEMA: A New Approach of Double Exponential Smoothing Method

Seng Hansun, Subanar Subanar, S. Hansun, 2016 .

Estimating the function of oscillatory components in SSA-based forecasting model

Muhammad Hisyam Lee, S. Suhartono, W. Sulandari, 2019, International Journal of Advances in Intelligent Informatics.

THE EFFECT OF DECOMPOSITION METHOD AS DATA PREPROCESSING ON NEURAL NETWORKS MODEL FOR FORECASTING TREND AND SEASONAL TIME SERIES

Suhartono Suhartono, Subanar Subanar, S. Suhartono, 2007 .

A NEW METHOD FOR GENERATJNG FUZZY RULES FROM TRAINING DATA AND ITS APPLICATION TO FORECASTING INFLATION RATE AND INTEREST RATE OF BANK INDONESIA CERTIFICATE

A. Abadi, W. Widodo, S. Subanar, 2009 .

The Prediction of Population Dynamics Based on the Spatial Distribution Pattern of Brown Planthopper (Nilaparvata lugen Stal.) Using Exponential Smoothing – Local Spatial Statistics

E. Winarko, S. Y. Prasetyo, B. Daryono, 2013 .

Statistical Inference for Modeling Neural Network in Multivariate Time Series

Subanar Subanar, Suryo Guritno, Dhoriva Urwatul Wutsqa, 2008 .

THE EFFECT OF DECOMPOSITION METHOD AS DATA PREPROCESSING ON NEURAL NETWORKS MODEL FOR FORECASTING TREND AND SEASONAL TIME SERIES

Suhartono, S. Suhartono, S. Subanar, 2007, Jurnal Teknik Industri.

Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks

Winita Sulandari, S. Subanar, Muhammad Hisyam Lee, 2020, MethodsX.

Development of a Spatial Path-Analysis Method for Spatial Data Analysis

Reza Pulungan, Subanar Subanar, Wiwin Sulistyo, 2018, International Journal of Electrical and Computer Engineering (IJECE).