CD Tesis

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

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The high poverty rate indicates that development activities in Indonesia have not been fully successful. The highest number of poor people in Indonesia in 2019 was concentrated in Java Island, namely East Java Province with 4,11 million people, Central Java 3,74 million people and West Java 3,40 million people. Meanwhile, the regions with the highest percentage of poor people were ini Papua Province 27,53%, West Papua 22,17% and 21,09% were in East Nusa Tenggara. The varying levels and distribution of poverty are a reflection of the limitations and inability of the population in an area to be able to fulfill their basic needs.
The effort to eradicate poverty is a big challenge for the Indonesian and is an absolute prerequisite for the sustainable development. One of the important aspect to support this effort is the availability of accurate and reliable poverty data. The data is then analyzed using a data analysis technique known as datamining.
This study aims to analyze the pattern of poverty dissemination based on clusters of regencies and cities in Indonesia according to the characteristics of poverty, analyze the information revealed based on the patterns formed and formulate appropriate poverty reduction policies based on the patterns formed. The data used is BPS published data, namely Data and Information on Poverty of Districts and Cities throughout Indonesia in 2019 and there are additional supporting data including Financial Data, Gross Regional Domestic Product (PDRB) and population density. The total poverty parameters used are 24 variables with 503 districts/cities throughout Indonesia, which are then processed using by factor analysis, cluster analysis and treeview analysis.
The results of cluster analysis in this study showed six clusters were formed based on the similarity of the patterns shown by the correlation value of each cluster, namely : Cluster I has 11 regencies with a correlation of 75,7%. The poverty condition describes that the expenditure gap of the poor towards poverty line is getting bigger and the distribution of income among the poor is increasingly uneven. Cluster I is a poor area with a low population density where poverty occurs due to the low level of education. The policies of poverty reduction is more focused on economic empowerment of the poor through empowering MSME (Micro, Small and Medium Enterprises) in the informal and agricultural sectors which are expected to drive the economy so that people become more independent. Cluster II consists of 57 regencies with a correlation value of 75,5%. The poverty condition describes the decreasing number of people who are below the poverty line, the expenditure gap of the poor against the poverty line is getting smaller and the income distribution among the poor is getting more evenly distributed. Cluster II is a poor area with a high population density where the economic growth does not reduce the number of poor people. Economic growth does not touch directly in alleviating the poor and income distribution does not spread evenly to all levels of society. The policies of poverty reduction is more
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focused on equitable distribution of population, increasing economic growth through capital-intensive services and implementing development oriented towards equitable distribution of economic products throughout society.
Cluster III consists of 39 regenices with a correlation of 74,1%. The poverty condition describes that the expenditure gap of the poor towards the poverty line is getting bigger and the income distribution is getting more unequal among the poor. The high poverty line describes that the income earned by the poor not being able to meet their minimum needs. Poverty conditions are caused by high levels of unemployment. The policies of poverty reduction is more focused on expanding of employment for the poor by strengthening the informal sector to create independent and self-sufficient rural development. Cluster IV has 55 cities areas with a correlation of 65,4%. The condition of the poor shows that the expenditure gap of the poor is smaller towards the poverty line and the more even distribution of income among the poor people. The poverty in city areas is caused by the high population density, which make it difficult for people to find the work. The poverty reduction policies is more focused on providing employment opportunities through strengthening the informal sector.
Cluster 5 consists of 21 regencies which are formed with the same character as 62,4%. The poverty condition describes that the expenditure gap of the poor is smaller against the poverty line and the distribution of income among the poor is getting more even. This cluster has a good economic condition and followed by relatively unconcerned poverty conditions. The local governments need to maintain and increase economic growth in these areas and ensure that the benefits of development can be felt by the people equally. Cluster VI has 36 regencies formed by the similarity of characters of 68,4%. The condition of poverty describes that the expenditure gap of the poor is getting bigger against the poverty line and the income distribution is increasingly uneven. Low economic conditions have not been able to reduce their poverty levels. The policies of poverty reduction is more focused on efforts to boost economic growth through an economic development strategy based on the agriculture, forestry and fisheries sectors. Besides that, optimizing community empowerment in rural areas by developing the leading commodity sectors as an economic driver.
Key words : Poverty, Indonesia, Factor Analysis, Cluster Analysis.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 08. 220 (0006)

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Agribisnis., 2020

Deskripsi Fisik

xiv, 149 hlm,; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 08. 220 (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

AGRIBISNIS

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

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