CD Tesis

Poverty Datamining: Analisis Pola Penyebaran Kemiskinan Kabupaten Dan Kota Se-Indonesia

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Poverty is one of the fundamental problems that is the center of attention in development country, including in Indonesia. Poverty is a condition often associated with need, difficulty and shortcom in various conditions of life. One of the most aspect to support poverty reduction is accurate and targeted poverty data. Central Bureau of Statistics presents data set and poverty information and indicators related to poverty issues in level regency/city and province.
This research was to analyze the pattern of poverty distribution in Indonesia used data from central bureau of statistics and relevant regional income and expenditure budget, consisting of 33 poverty indicators with 16,566 data cells covering 502 districts / cities in Indonesia. The purpose of this research is analyze patterns of poverty distribution based on regencies and cities in Indonesia, analyze information revealed based on patterns formed from the results of cluster analysis and formulate an appropriate poverty reduction strategy based on patterns formed from the results of cluster analysis.
Determination of the sample in this research is census method, using factor analysis and cluster analysis. The results showed that Kaiser Meyer Olkin (KMO) value and Measures of Sampling Adequacy (MSA) > 0,5 that were worthy of further testing were 30 indicators. The results of cluster analysis on the formation patterns of poverty distribution relative to distribution of poor people in Indonesia. The results of the cluster pattern of distribution of poverty in 502 districts and cities in Indonesia, formed 10 clusters with characteristics or patterns that have the same similarities and interesting to explain further, where each cluster has different characteristics from one another based on existing patterns.

Keyword: Cluster Analysis, Datamining, Poverty

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 08. 219 (0006)

Penerbit

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

Deskripsi Fisik

xvi, 171 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 08. 219 (0006)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

PASCASARJANA (MAGISTER) AGRIBISNIS

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

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