Implementasi Spasial Kriging Dengan Faktor Dependency Seasonal Time Series

Authors

  • Aniq Atiqi Rohmawati Telkom University

DOI:

https://doi.org/10.21108/INDOJC.2016.1.2.61

Abstract

Time series analysis has been developed in concepts and theories to accommodate the behavior of the collected data by involving time. The unique feature of time series analysis is the time dependency. In this research, we observed a number of seasonal pets, fire caterpillars, on an oil palm plantation at Block Afdeling-D in Kalimantan. The number of Fire Caterpillars is dependent on time and spatial (location). Fire Caterpillars are seasonal pests on oil palm plantation. In addition, Pearson correlation indicates that the number of Fire Caterpillars is not influenced by the distance among the blocks. We suggests that the disinfection should be done simultaneously to avoid the migration of fire caterpillars. The spreading of fire caterpillars at Block Afdeling-D in Kalimantan is modeled with time series seasonal model, spesifically with ARIMA homoscedastic model. Kriging interpolation was conducted to identify behavior and determine the location Fire Caterpillars involving ARIMA model.

Keywords: ARIMA, dependency, Kriging, Fire Caterpillars, variogram

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References

Dinas Perkebunan Provinsi Kalimantan. 2011. Ulat Api Kelapa Sawit.

Bohling, G. 2005. Kriging. Kansas Geological Survey.

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Zhang, Pusheng, et al. 2003. Correlation analysis of spatial time series datasets: A filter-and-refine approach. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer Berlin Heidelberg. p. 532-544. Crossref

[ Arbia G., et al. 2014. A Micro Spatial Analysis of Firm Demography of Food Stores in The Area of Trento. Springer

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Published

2016-12-30

How to Cite

Rohmawati, A. A. (2016). Implementasi Spasial Kriging Dengan Faktor Dependency Seasonal Time Series. Indonesian Journal on Computing (Indo-JC), 1(2), 37–46. https://doi.org/10.21108/INDOJC.2016.1.2.61

Issue

Vol. 1 No. 2 (2016): September, 2016

Section

Articles

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