Modelling COVID-19 growth cases of provinces in java Island by modified spatial weight matrix GSTAR through railroad passenger's mobility

US Pasaribu, U Mukhaiyar, NM Huda, KN Sari… - Heliyon, 2021 - cell.com
Abstracts The movement of positive people Coronavirus Disease that was discovered in
2019 (Covid-19), written 2019-nCoV, from one location to another has a great opportunity to …

The generalized STAR modelling with three-dimensional of spatial weight matrix in predicting the Indonesia peatland's water level

U Mukhaiyar, AW Mahdiyasa, T Prastoro… - Environmental Sciences …, 2024 - Springer
The release rate of CO2 gas can be influenced by peatlands' physical properties, such as
water level and soil moisture, and rainfall. To anticipate the unstable condition which is …

Modeling dengue fever cases by using GSTAR (1; 1) model with outlier factor

U Mukhaiyar, RRKN Sari… - Journal of Physics …, 2019 - iopscience.iop.org
Dengue fever is an endemic disease transmitted through the Aedes Aegypti mosquitos.
Dengue virus can be transmitted from human hosts who have been infected by the virus to …

The generalized STAR modeling with minimum spanning tree approach of spatial weight matrix

U Mukhaiyar, AW Mahdiyasa, KN Sari… - Frontiers in Applied …, 2024 - frontiersin.org
The weight matrix is one of the most important things in Generalized Space–Time
Autoregressive (GSTAR) modeling. Commonly, the weight matrix is built based on the …

Spatial weight determination of GSTAR (1; 1) model by using kernel function

US Pasaribu, U Mukhaiyar… - Journal of Physics …, 2018 - iopscience.iop.org
The stochastic process models with the index parameters such as time and location were
investigated in this paper. The model used was GSTAR (1; 1), and it was applied to the …

Analysis of generalized space time autoregressive with exogenous variable (GSTARX) model with outlier factor

U Mukhaiyar, NM Huda, KN Sari… - Journal of Physics …, 2020 - iopscience.iop.org
The outlier is an observation data that has different characteristics from others. Frequently,
outliers are removed to improve the accuracy of the estimators. But sometimes the presence …

The space-time autoregressive modelling with time correlated errors for the number of vehicles in Purbaleunyi toll gates

U Mukhaiyar, FT Nabilah, US Pasaribu… - Journal of Physics …, 2022 - iopscience.iop.org
The space-time modelling considers the observations dependence based on time and
spatial simultaneously. One of popular models used is the Generalized Space-Time …

The Generalized STAR Modelling with Minimum Spanning Tree Approach of Weight Matrix for COVID-19 Case in Java Island

U Mukhaiyar, BI Bilad, US Pasaribu - Journal of Physics …, 2021 - iopscience.iop.org
The ongoing global Coronavirus 2019 (COVID-19) pandemic poses a major threat. The
spread of the COVID-19 virus is likely to occur from one location to another location due to …

The Generalized STAR Modeling with Heteroscedastic Effects

U Mukhaiyar, S Ramadhani - … : Jurnal Matematika Murni …, 2022 - ejournal.uin-malang.ac.id
Abstract In general, the Generalized Space Time Autoregressive (GSTAR) model of space-
time assumes constant error variance. In this study, a GSTAR model was built with an error …

Stationary process in GSTAR (1; 1) through kernel function approach

Y Yundari, NM Huda, US Pasaribu… - AIP Conference …, 2020 - pubs.aip.org
Stationarity is an essential requirement in modeling GSTAR space-time. GSTAR modeling
adopted from the three iterative Box-Jenkins time series modeling. The stages are model …