D. Prastyo

D. Prastyo, A. Choiruddin, Alfiati Hasanah, 2022, PROCEEDINGS OF THE II INTERNATIONAL SCIENTIFIC CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING AND DIGITAL EDUCATION: (ASEDU-II 2021).

Markov Chain Monte Carlo - Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty

Dedy Dwi Prastyo, Nur Iriawan, Suci Astutik, 2010 .

Shifting from Conventional to Organic Filter Media in Wastewater Biofiltration Treatment: A Review

N. S. Zaidi, R. Boopathy, D. Prastyo, 2021, Applied Sciences.

Outlier detection using PCA mix based T2 control chart for continuous and categorical data

Dedy Dwi Prastyo, Muhammad Mashuri, Heri Kuswanto, 2019, Commun. Stat. Simul. Comput..

Additive survival least square support vector machines: A simulation study and its application to cervical cancer prediction

Dedy Dwi Prastyo, Santi Wulan Purnami, Hutcha Sriplung, 2017 .

Modification of Multivariate Adaptive Regression Spline (MARS)

Dedy Dwi Prastyo, Bambang Widjanarko Otok, Septia Devi Prihastuti Yasmirullah, 2021 .

Parameter Estimation of Multivariate Adaptive Regression Spline (MARS) with Stepwise Approach to Multi Drug-Resistant Tuberculosis (MDR-TB) Modeling in Lamongan Regency

D D Prastyo, J D T Purnomo, B W Otok, 2021 .

Bayesian Mixture Poisson Regression for Modeling Spatial Point Pattern of Primary Health Centers in Surabaya

Dedy Dwi Prastyo, Nur Iriawan, Tri Murniati, 2020 .

KINERJA ECONOMIZER PADA BOILER

Dedy Dwi Prastyo, Muhammad Sjahid Akbar, Fredi Suryadi, 2009 .

Roll motion prediction using a hybrid deep learning and ARIMA model

Dedy Dwi Prastyo, Suhartono, Novri Suhermi, 2018, INNS Conference on Big Data.

Intrusion Detection System Using Multivariate Control Chart Hotelling's T2 Based on PCA

M. Ahsan, M. Mashuri, H. Kuswanto, 2018, International Journal on Advanced Science, Engineering and Information Technology.

Nowcasting of daily consumer price index using time series regression and support vector regression

Setiawan, D. Prastyo, Santi Dewi Rahayu, 2023, AIP Conference Proceedings.

Analysis of changes in public behavior regarding 3M health protocols during the Covid-19 pandemic in Indonesia

D. Prastyo, A. Rumiati, Sonny Harry B. Harmadi, 2021, International Journal of Research in Business and Social Science (2147- 4478).

On The Impact of Climate Change to Agricultural Productivity in East Java

Dedy Dwi Prastyo, Heri Kuswanto, Sri Mumpuni Retnaningsih, 2018 .

Hybrid Quantile Regression Neural Network Model for Forecasting Currency Inflow and Outflow in Indonesia

Suhartono, Prilyandari Dina Saputri, D. Prastyo, 2018, Journal of Physics: Conference Series.

Hybrid multivariate generalized space-time autoregressive artificial neural network models to forecast air pollution data at Surabaya

Dedy Dwi Prastyo, Suhartono, Elly Pusporani, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

T2 Control Chart based on Successive Difference Covariance Matrix for Intrusion Detection System

Dedy Dwi Prastyo, Muhammad Mashuri, Heri Kuswanto, 2018, Journal of Physics: Conference Series.

Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR Models for Forecasting Oil Production

Dedy Dwi Prastyo, Heri Kuswanto, Suhartono Suhartono, 2018, MATEMATIKA.

A Hybrid GSTARX-Jordan RNN Model for Forecasting Space-Time Data with Calendar Variation Effect

Suhartono, D D Prastyo, F Hikmawati, 2021 .

Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression

Dedy Dwi Prastyo, I Nyoman Budiantara, Dyah P. Rahmawati, 2021, Int. J. Math. Math. Sci..

GSTARIX Model for Forecasting Spatio-Temporal Data with Trend, Seasonal and Intervention

Suhartono, Setiawan, D. Prastyo, 2018, Journal of Physics: Conference Series.

Forecasting Exchange Rate Across Countries with Gold Price as Exogenous Variable Using Transfer Function and VARI-X Model

D. Prastyo, S. Suhartono, Alhassan Sesay, 2020 .

Spatial Spillover Effect Of Transportation Infrastructure On Regional Growth

D. Prastyo, S. Suhartono, A. Karim, 2020 .

Uncertainty Analysis Study on Seakeeping Tests of Benchmark Model

B. Cahyono, D. Prastyo, Baharuddin Ali, 2022, IOP Conference Series: Earth and Environmental Science.

Mixture Spline Smoothing and Kernel Estimator in Multi-Response Nonparametric Regression

D. Prastyo, I. Budiantara, D. P. Rahmawati, 2021 .

PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection

Dedy Dwi Prastyo, Muhammad Mashuri, Muhammad Ahsan, 2021, Comput. Ind. Eng..

Forecasting with Recurrent Neural Network in Intermittent Demand Data

H. Horng-Shing Lu, D. Prastyo, A. Muhaimin, 2021, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

Hybrid of Time Series Regression, Multivariate Generalized Space-Time Autoregressive, and Machine Learning for Forecasting Air Pollution

Setiawan, D. Prastyo, H. Prabowo, 2021, SCDS.

Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system

Dedy Dwi Prastyo, Muhammad Hisyam Lee, Muhammad Ahsan, 2020, Expert Syst. Appl..

Bivariate Poisson Inverse Gaussian Regression Model with Exposure Variable: Infant and Maternal Death Case Study

Purhadi, D D Prastyo, S Mardalena, 2021 .

Support Vector Machines with Evolutionary Feature Selection for Default Prediction

W. Härdle, D. Prastyo, C. M. Hafner, 2014 .

Support Vector Machines with Evolutionary Feature Selection for Default Prediction

Dedy Dwi Prastyo, Christian M. Hafner, Wolfgang Härdle, 2012 .

Embedded Predictor Selection for Default Risk Calculation: A Southeast Asian Industry Study

Dedy Dwi Prastyo, Wolfgang Härdle, W. Härdle, 2014 .

A simulation study and application of feature selection on survival least square support vector machines

Dedy Dwi Prastyo, Santi Wulan Purnami, Halwa Annisa Khoiri, 2019, THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019).

Micro and Macro Determinants of Delisting and Liquidity in Indonesian Stock Market: A Time-Dependent Covariate of Survival Cox Approach

Dedy Dwi Prastyo, Suhartono Suhartono, Soo-Fen Fam, 2018, MATEMATIKA.

Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data

Dedy Dwi Prastyo, Santi Wulan Purnami, Suhartono, 2018, SCDS.

The Performance of Ramsey Test, White Test and Terasvirta Test in Detecting Nonlinearity

D. Prastyo, S. Suhartono, H. Prabowo, 2020 .

Additive survival least square support vector machines and feature selection on health data in Indonesia

Dedy Dwi Prastyo, Santi Wulan Purnami, S. W. Purnami, 2018, 2018 International Conference on Information and Communications Technology (ICOIACT).

Modelling causality between agricultural and meteorological drought indices in the Corong River basin, East Java Indonesia

Lalu Muhamad Jaelani, D. Prastyo, D. Iranata, 2023, Journal of Water and Land Development.

Guidelines for Accounting Melaka Mobile Units Greenhouse Gas (GHG) Emissions

S. Fam, D. Prastyo, A. Maukar, 2018 .

Benchmarking hierarchical Bayesian small area estimators in the percentage of poverty at sub-districts level in Central Java

D. Prastyo, A. Rumiati, Eko Budiatmodjo, 2023, AIP Conference Proceedings.

The effectiveness of Max‐half‐Mchart over Max‐Mchart in simultaneously monitoring process mean and variability of individual observations

Dedy Dwi Prastyo, Muhammad Mashuri, Rumaisa Kruba, 2021, Qual. Reliab. Eng. Int..

Multilevel analysis of programme for international student assessment (PISA) 2018 in Indonesia

Sistya Rosi Diaprina, D. Prastyo, S. Rahayu, 2023, INTELLIGENT BIOTECHNOLOGIES OF NATURAL AND SYNTHETIC BIOLOGICALLY ACTIVE SUBSTANCES: XIV Narochanskie Readings.

Hybrid Arimax-NN Model for Forecasting Inflation

Suhartono, D. Prastyo, Santi Eksiandayani, 2015 .

Assessment and Prediction of Hydrometeorological Drought in Corong River Basin, Indonesia

D. Prastyo, D. Iranata, Nadjadji Anwar, 2023, Aceh International Journal of Science and Technology.

Modeling the volatility of gross domestic product based on the volatility of money supply, inflation, interest rate, and exchange rate using the fractional cointegration model

Suhartono, H. Kuswanto, D. Prastyo, 2020, Journal of Physics: Conference Series.