Hierarchical Clustering Pada Data Time Series Hotspot Provinsi Riau

dc.contributor.advisor	Sitanggang, Imas Sukaesih
dc.contributor.author	Dinov, Ilham Alpha
dc.date.accessioned	2014-06-30T03:06:55Z
dc.date.available	2014-06-30T03:06:55Z
dc.date.issued	2014
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/69407
dc.description.abstract	Land and forest fires become yearly issues in Indonesia, particularly in Riau province. This work applied the hierarchical clustering method for hotspot time series data using average distance formula to analyze hotspots distribution in Riau province. This work focuses on the hotspots distribution in June, July and August for the period 2001-2012. Time series data decomposition was generated to obtain the hotspot occurrence patterns over the period. Hierarchical clustering on the data results 4 clusters at the height of dendrogram about 300. Most of hotspots in these clusters are located in plantation.	en
dc.language.iso	id
dc.title	Hierarchical Clustering Pada Data Time Series Hotspot Provinsi Riau	en
dc.subject.keyword	hierarchical clustering	en
dc.subject.keyword	hotspot	en
dc.subject.keyword	forest fires	en