Open AccessSpatial Distribution and Implementation of the K-Means Clustering Method at Hotspots in North Sumatra
Author(s) -
Kartika Dewi Butar-Butar,
Elviawaty Muisa Zamzami,
Nancy Lusiana Damanik,
Alex Rikki,
Eva Darlina
Publication year - 2021
Publication title -
journal of computation physics and earth science
Language(s) - English
Resource type - Journals
ISSN - 2776-2521
DOI - 10.53842/jocpes.v1i1.1
Subject(s) - hotspot (geology) , geography , longitude , latitude , cluster analysis , cartography , geographic coordinate system , spatial distribution , physical geography , remote sensing , statistics , geology , geodesy , mathematics , geophysics
Hotspots are indicators of forest and land fires. Hotspot monitoring can be carried out with the help of remote sensing tools and geographic information systems. Hotspot data is obtained from the MODIS sensors from the TERRA and AQUA satellites which contain information on latitude and longitude coordinates and the level of confidence divided by three levels, namely low, medium and high confidence levels. Based on the spatial results, the number of hotspots in North Sumatra Regency is in February, March, June, July, and August. Districts that are dominant with hotspots are Karo Regency, Labuhan Batu Regency, Mandailing Natal Regency, Padang Lawas Regency and South Tapanuli Regency. Based on the results, the process of applying the k-means clustering method to the weka application, the data obtained is in the form of a clustered group and the results can be made into indicators in determining hotspots in districts in North Sumatra province per month.