PROFIL SOSIAL EKONOMI DAN KEMISKINAN KABUPATEN/KOTA DI PULAU SUMATERA TAHUN 2012
Abstract: One of the most
significant current discussions in development country is poverty, including in
Indonesia. Indonesia is one of the most
populous in the worlds with 237.6 million people in 2010, where 76.93 % of
povertyareconcentratedin Java(55.33%) andSumatra(21.6%). This paper attempted
to create profiling poverty of 151 residences and cities in Sumatera. The
poverty characteristics included in the profiling are:levelof education,
manpower distribution, expenditures per capita, health, housing facilities, and
government’s poverty eradication programs. Data resources are from Badan Pusat
Statistik (BPS). The data were analyzed by principle component analysis (PCA)
and Hierarchical Data Analysis.Factor analysis produced as many as 32 variables
as the main components, adequate for further analysis as 'key factors' for
social economic characteristic profile of residences and cities in Sumatera. These main components demonstrated the
adequate values of KMO, MSA, and Bartlett's Test of Sphericity.
Following the result from Factor Analysis to obtain the important factors
of poverty, the method of hierarchical cluster analysis was, further, used to
classify the profiles of 108 residences and cities in Sumatera. The results of
cluster analysis with 5interesting clusters of poverty profile of
socio-economic indicators show that Cluster 1 comprises of 7 residences with
similar characteristic of level of educationand manpower distribution. Cluster
2 includes 9 residences with similar level of education and expenditures per
capita. Cluster 3 consists of 36 residences and 2 cities with similar manpower
distribution and expenditures per capita patterns. Cluster 4 comprises of 23
residences and 3 cities showing its own distinct characteristics in their
similarity patterns of expenditures per capita and housing facilities. Then,
the cluster 5 consists of 2 residences and 27 cities showing the similar
patterns in level of education and housing facilities.
Penulis: Eka Ramadhansyah,
Fajar Restuhadi, Jumatri Yusri
Kode Jurnal: jppertaniandd150544
