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 …

Advanced introduction to spatial statistics

DA Griffith, B Li - 2022 - books.google.com
This Advanced Introduction provides a critical review and discussion of research concerning
spatial statistics, differentiating between it and spatial econometrics, to answer a set of core …

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 …

[HTML][HTML] Global forecasting of carbon concentration through a deep learning spatiotemporal modeling

M Semper, M Curado, JF Vicent - Journal of Environmental Management, 2024 - Elsevier
Given the global urgency to mitigate climate change, a key action is the development of
effective carbon concentration reduction policies. To this end, an influential factor is the …

An Iterative Procedure For Outlier Detection In GSTAR (1; 1) MODEL

U Mukhaiyar, N Imro'ah - BAREKENG: Jurnal Ilmu Matematika …, 2022 - ojs3.unpatti.ac.id
Outliers are observations that differ significantly from others that can affect the estimation
results in the model and reduce the estimator's accuracy. To deal with outliers is to remove …

Spatial and Time Series Modelling

BC Suherlan, US Pasaribu - Decision Mathematics, Statistical …, 2024 - books.google.com
Peatlands serve as vital carbon reservoirs, exhibiting two stability condi-tions. In a stable
state, they absorb CO2 with slow decomposition. In contrast, an unstable state causes faster …

Wood fiber modelling using stochastic models

YS Afrianti, US Pasaribu, FDE Latief… - IOP Conference Series …, 2021 - iopscience.iop.org
Various kinds of materials such as iron, wood, and concrete are very useful in human life.
For example, the wood fiber can be used in building construction such as wall, roof, floor, as …

[HTML][HTML] Geostatistical modeling of soybean yield and soil chemical attributes using spatial bootstrap

GH Dalposso, MA Uribe-Opazo, JA Johann… - Engenharia …, 2019 - SciELO Brasil
The goal of this study was to use the spatial bootstrap method to model the spatial
dependence structure of soybean yield and soil chemical attributes in an agricultural area …

Comparison Between Iterative Least Square and Nonparametric Epanechnikov Kernel in Semivariogram Modeling, Case study: Urban Land Cover in East Java …

KN Sari, YY Budiman, US Pasaribu… - ITM Web of …, 2024 - itm-conferences.org
Landcover is an example of spatial data that contains location coordinate information along
with the variables measured at each location, namely height, slope, and curvature. The …

PEMODELAN SEMIVARIOGRAM PADA DATA POTENSI CALON MAHASISWA BARU FAKULTAS TEKNIK SIPIL DAN PERENCANAAN UNIVERSITAS TRISAKTI

GF Kuswanda, J Damayanti… - … DAN KARYA ILMIAH …, 2024 - e-journal.trisakti.ac.id
Perguruan tinggi melakukan promosi untuk menyampaikan informasi mengenai program
dan keunggulan perguruan tinggi guna menarik minat calon mahasiswa baru. Persaingan …