Spatio-Temporal Clustering Hotspot di Sumatera Selatan Tahun 2002-2003 Menggunakan Algoritme ST-DBSCAN dan Bahasa Pemrograman R

dc.contributor.advisor	Adrianto, Hari Agung
dc.contributor.author	Indrawan, Nadina Adelia
dc.date.accessioned	2014-10-29T07:23:32Z
dc.date.available	2014-10-29T07:23:32Z
dc.date.issued	2014
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/69912
dc.description.abstract	Forest fire is a serious problem in Indonesia. One indicator of forest fire possibility can be seen through the occurence of hotspots. Hotspot dataset is large spatial data because it is recorded continuously. ST-DBSCAN an algorithm that can process spatial and temporal data. This study implement ST-DBSCAN algorithm with R language programming. R is software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software. Clustering is performed on hotspots dataset in South Sumatra in the period 2002-2003. By using the spatial distance parameter (Eps1) = 0.2, the temporal distance parameters (Eps2) = 7 and a minimum cluster members (MinPts) = 7 resulted in 41 clusters with 712 noises.	en
dc.language.iso	id
dc.subject.ddc	Computer Science	en
dc.title	Spatio-Temporal Clustering Hotspot di Sumatera Selatan Tahun 2002-2003 Menggunakan Algoritme ST-DBSCAN dan Bahasa Pemrograman R	en
dc.subject.keyword	ST-DBSCAN	en
dc.subject.keyword	spatio-temporal	en
dc.subject.keyword	hotspot, R	en
dc.subject.keyword	forest fire	en