Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/60249

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Annisa
dc.contributor.author	Fuad, Tsamrul
dc.date.accessioned	2013-02-01T06:44:07Z
dc.date.available	2013-02-01T06:44:07Z
dc.date.issued	2009
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/60249
dc.description.abstract	Hayardisi (2008) has developed a datawarehouse as tool to analyze hotspot spread. That application gives information in form of table, crosstab and graph. We improve that aplication by adding webGIS module to visualize hotspot location easily. WebGIS developed using Mapserver and chameleon.To show the distribution problem of hotspot, we clusterize number of hotspot occurencies into four classes low, medium, high and very high using k-means algorithms.	en
dc.subject	Bogor Agricultural University (IPB)	en
dc.title	Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means	en
Appears in Collections:	UT - Computer Science

Files in This Item:

File	Description	Size	Format
G09tfu.pdf Restricted Access	full text	1.77 MB	Adobe PDF	View/Open
Abstract.pdf Restricted Access	Abstract	317.61 kB	Adobe PDF	View/Open
BAB I Pendahuluan.pdf Restricted Access	BAB I	327.58 kB	Adobe PDF	View/Open
BAB II Tinjauan Pustaka.pdf Restricted Access	BAB II	385.07 kB	Adobe PDF	View/Open
BAB III Metode Penelitian.pdf Restricted Access	BAB III	419.25 kB	Adobe PDF	View/Open
BAB IV Hasil dan Pembahasan.pdf Restricted Access	BAB IV	632.29 kB	Adobe PDF	View/Open
BAB V Kesimpulan dan Saran.pdf Restricted Access	BAB V	331.4 kB	Adobe PDF	View/Open
Cover.pdf Restricted Access	Cover	328.29 kB	Adobe PDF	View/Open
Lampiran.pdf Restricted Access	Lampiran	1.3 MB	Adobe PDF	View/Open

DSpace JSPUI