Comparison of the effectiveness of GIS-based interpolation methods for estimating the spatial distribution of agrochemical soil properties

R Abdulmanov, I Miftakhov, M Ishbulatov… - … Technology & Innovation, 2021 - Elsevier
Various interpolation methods were compared in the ArcGIS (a complex of geoinformation
software products of the American company ESRI) geographical information system …

[PDF][PDF] Implementation of Generalized Space Time Autoregressive (GSTAR)-Kriging model for predicting rainfall data at unobserved locations in West Java

AS Abdullah, S Matoha, DA Lubis… - Applied Mathematics …, 2018 - researchgate.net
A Generalized Space Time Autoregressive or GSTAR is a special model of Vector
Autoregressive (VAR) model which is a combination of time series and spatial models which …

[HTML][HTML] An Expanded Spatial Durbin Model with Ordinary Kriging of Unobserved Big Climate Data

AN Falah, Y Andriyana, BN Ruchjana, E Hermawan… - Mathematics, 2024 - mdpi.com
Spatial models are essential in the prediction of climate phenomena because they can
model the complex relationships between different locations. In this study, we discuss an …

Design and process integration of organic Rankine cycle utilizing biomass for power generation

S Ependi, TB Nur - IOP Conference Series: Materials Science …, 2018 - iopscience.iop.org
Indonesia has high potential biomass energy sources from palm oil mill industry activities.
The growing interest on Organic Rankine Cycle (ORC) application to produce electricity by …

In. To. COVID-19 socio-epidemiological co-causality

E Galbraith, J Li, VJD Rio-Vilas, M Convertino - Scientific Reports, 2022 - nature.com
Social media can forecast disease dynamics, but infoveillance remains focused on infection
spread, with little consideration of media content reliability and its relationship to behavior …

Exergy analysis of biomass organic Rankine cycle for power generation

TB Nur - IOP Conference Series: Materials Science and …, 2018 - iopscience.iop.org
The study examines proposed small biomass-fed Organic Rankine Cycle (ORC) power plant
through exergy analysis. The system consists of combustion burner unit to utilize biomass as …

Implementation of Ordinary Co-Kriging method for prediction of coal quality variable at unobserved locations

AN Falah, N Hamid, E Rusyaman… - Journal of Physics …, 2021 - iopscience.iop.org
A Co-Kriging method is a method that used to predict the value of the point at unobserved
locations by sample points are known to be spatially interconnected by adding other …

PENERAPAN METODE UNIVERSAL KRIGING UNTUK MENGESTIMASI LAJU PENURUNAN MUKA TANAH DKI JAKARTA

N Sofieyanti, DAN Sirodj - Jurnal Gaussian, 2024 - ejournal3.undip.ac.id
DKI Jakarta is one of the provinces experiencing land subsidence problems. Monitoring the
rate of land subsidence is very important to mitigate and control environmental impacts. One …

Application of the Ordinary Kriging method for prediction of the positive spread of Covid-19 in West Java

BN Ruchjana, AN Falah… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract The Ordinary Kriging method is a method used to predict an observation at an
unobserved location based on observed points that are spatially related. Corona Virus …

Techno-economic analysis of organic rankine cycle fueled biomass waste from palm oil mill

TB Nur, A Setiawan, BG Yudanto… - AIP Conference …, 2019 - pubs.aip.org
Indonesia is one of leading countries in palm oil industry in the world producing a 25 billion
liters of palm oil annually. With a great potential of resources in Indonesia, residues from …