Please use this identifier to cite or link to this item: https://repository.uksw.edu//handle/123456789/26549
Title: Analisis Pola Kebakaran Lahan di Kalimantan Timur dengan MODIS dan VIIRS
Authors: Wibowo, Aditya Pranata
Keywords: kebakaran;Kalimantan Timur;MODIS;VIIRS;hotspot
Issue Date: 21-Apr-2020
Abstract: Penelitian ini bertujuan untuk mengetahui daerah manakah yang paling banyak mengalami kebakaran dan juga pola dari kebakaran tersebut. Sumber data didapatkan dari website FIRMS yang merupakan data yang bersifat kuantitatif dan data primer. Metode analisis yang digunakan adalah metode analisis Spatial Autocorrelation, Average Nearest Neighbor, Optimized Hotspot, Directional Distribution (Standard Devitional Ellipse), dan Temporal Collect Event. Hasil yang telah didapatkan dari analisis bermetode Directional Distribution, Optimized Hotspot, dan Temporal Collect Event adalah terdapat banyak titik api yang berada di Kecamatan Kutai Kartanegara, Kutai Barat, Kutai Timur, Berau, dan Paser. Dalam analisis Spatial Autocorrelation ditemukan bahwa terdapat korelasi antara lokasi terjadinya titik api dan ukuran sejati dari titik api. Analisis Average Nearest Neighbor menunjukkan bahwa titik api terkumpul pada beberapa tempat dan tidak tersebar secara merata atau secara acak.
This research aims to determine which region of the East Borneo was affected the most by the fire and which pattern that the spreading fire makes. The data is earned from the FIRMS's website and classified as a primer and quantitative data. The method of analysis that the writer used are Spatial Autocorrelation, Average Nearest Neighbor, Optimized Hotspot, Directional Distribution (Standard Devitional Ellipse), and Temporal Collect Event. The result of the Directional Distribution, Optimized Hotspot, and Temporal Collect Event method analysis is that a big concentration of fire hotspots were found in the subdistrict of Kutai Kartanegara, Kutai Barat, Kutai Timur, Berau, and Paser. The result of the analysis using the method of Spatial Autocorrelation state the fact that there was a correlation between the pixel’s true size and it’s location. Lastly, the Average Nearest Neighbor analysis also show that there was a clustering of hotspots that was detected in the Province of East Borneo, instead of being dispersed or spread randomly.
URI: https://repository.uksw.edu/handle/123456789/26549
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