Saturday 30th of March 2024
 

Endemic Outbreaks of Brown Planthopper (Nilaparvata lugens Stal) in Indonesia using Exploratory Spatial Data Analysis


Sri Yulianto Joko Prasetyo, Subanar, Edi Winarko and Budi Setiadi Daryono

This research attempts to compare the method of analysis and the mapping of endemic outbreaks of brown planthopper on the staples commodity and horticulture using spatial autocorrelation method. The research was done through three steps; those are (1) data preprocessing (2) endemic prototype of BPH (3) the analysis of the increase of attacked stem brown planthopper parameter, the rainfall intensity, and the density of natural enemy. GISA, LISA, and Getis Ord Statistic were used in the endemic of BPH modeling. The result of this research shows that hotspot pattern in 37 subdistrict area and coldspot pattern in 13 subdistrict areas in 2001 - 2010 can be classified by using these methods. From the comparison of Local Morans experiment map and Getis Ord BPH experiment map in 2001, 2006 and 2010, it is found that the indication of hotspot on Local Morans is the same as clustering indication on Getis Ord based on the value of Z(Gi)2. The distribution of BPH attack is determined by the spatial object connectivity pattern of BPH population, rainfall and the territorial position.

Keywords: Spatial Autocorrelation, Getis Ord, Brown Planthoppers, Endemic Pattern

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ABOUT THE AUTHORS

Sri Yulianto Joko Prasetyo
Doctoral Candidate, Student Doctoral Program Computer Science at Faculty of Mathematics and Natural Sciences from the Gadjah Mada University Yogyakarta Indonesia.

Subanar
Supervisor 1. Professor Statistic in the Faculty of Mathematics and Natural Sciences from the Gadjah Mada University Yogyakarta Indonesia

Edi Winarko
Supervisor 2 Lecturer in the Faculty of Mathematics and Natural Science from the Gadjah Mada University Yogyakarta Indonesia

Budi Setiadi Daryono
Supervisor 3 Lecturer in the Faculty of Biology Gadjah Mada University Yogyakarta Indonesia


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