CD Tesis

Poverty Datamining: Analisis Pola Penyebaran Kemiskinan Kabupaten Dan Kota Di Pulau Kalimantan, Sulawesi, Bali Dan Nusa Tenggara

---

One of poverty data source available in Indonesia is The Regency/City Poverty Data and Information Catalog, published by the Central Statistics Agency/Badan Pusat Statistik (BPS) which is feasible to be analyzed by various techniques, known as datamining.
This research uses poverty data and information in 175 regencies and cities in Kalimantan, Sulawesi, Bali and Nusa Tenggara with 9 aspects consisting of 42 poverty variables. The research aimed to compare the aspects of poverty established by BPS with the results of the analysis of the research, analyzing the pattern of poverty distribution descriptively based on the cluster and to formulate poverty reduction suggestions that were appropriate for the cluster. Analysis was carried out by factor analysis or Principal Component Analysis (PCA) and cluster analysis (Cluster 3.0).
The poverty data from BPS has 9 aspects/factors and PCA analysis results the same number of main components/factors. The difference of the result of these two observations is seen in variable members in each component that could be occured because BPS conducts grouping of variables before the population data collection get started, while PCA classifies variables based on data that has been collected or after the population data collection was completed.
PCA results can be utilized for further research purposes such as the implementation of evaluation and planning. Meanwhile the BPS poverty aspect displayed in a more structured arrangement, makes it easier to observe for publications and more practical to use when conducting population data collection.
Cluster analysis forms 6 clusters which have similarities in poverty characters of more than 40%. Poverty reduction can be planned by looking at weaknesses in each cluster of health issue, education, employment, poverty factors, housing and government aid instruments, and by developing existing potential.

Keywords: poverty, factor analysis, Kalimantan, Sulawesi, Bali, Nusa Tenggara.

---

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

10 08. 219 (0008)

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Agribisnis., 2019

Deskripsi Fisik

xiii, 129 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

10 08. 219 (0008)

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

PASCASARJANA (MAGISTER) AGRIBISNIS

Info Detail Spesifik

-

Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar