SISTEM INFORMASI GEOGRAFIS PENENTUAN PRIORITAS WILAYAH INDUSTRI DI KABUPATEN KUBU RAYA
Abstract
Development of industrial areas are
not regular and net appearance make invanted
ideas software deal with decision support system
that can help user to choose Regional Planning
of Industry in Kabupaten Kubu Raya. By using
decision support system based geographic
information system(GIS), thus it will be no
difficulties for a derivator decision in analyzing
the existed data. Because of gis, it will drawn the
actual position of spreading data. GIS is used ti
visualize a result from alternative location used
for Regional Planning of Industry in Kabupaten
Kubu raya. Principal component analysis and
Cluster Observation are the methode that use to
make a new linier combination variable from
the real variable. To give an accurate result,
variabel will reduce and produce a new variable
that called principal component. It also use
cluster observation to analyzing a pattern,
grouping the object into the group that has the
similarity and classification the pattern. PCA
use to reduce variable and cluster will find the
pattern and grouping the object to support the
analysis result.
References
Johnson. 2002. Principal Component Analysis second edition. New York: Springer-Verlag New York, Inc.
Murai, Shunji. 2007. Sistem Informasi Geografis (Bab I GIS Worldbook Vol I) Pengantar GIS. University of Tokyo.
Peraturan Menteri Pekerjaan Umum Nomor : 41/PRT/M/2007 Tentang
Pedoman Kriteria Teknik Kawasan Budi Daya (Karakteristik dan
Kesesuaian Lahan Daerah Industri)
Sharma. 2006. Cluster Analysis and Factor Analysis. University of South Carolina.
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