ANALISIS KEMISKINAN DI KABUPATEN MALUKU TENGGARA BARAT MENGGUNAKAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS)

*Ferry Kondo Lembang  -  Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Pattimura, Indonesia
Henry Willyam Michel Patty  -  Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Pattimura, Indonesia
Feros Maitimu  -  Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Pattimura, Indonesia
Received: 27 Dec 2018; Published: 30 Dec 2019.
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Language: ID;EN
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Abstract
Poverty is a condition where there is a condition where there is an inability of the community to meet basic needs such as food, clothing, shelter, education and health. MTB regency is one of the regions in Moluccas Province with a relatively high percentage of the poor population reaching 28.31%. The purpose of this study is to conduct poverty analysis in MTB using the MARS method. The problem of poverty is thought to be very much influenced by many factors, therefore the selection of the MARS method is considered very appropriate because it has the advantage of being able analyze high-dimensional data. The results showed the best MARS model was a combination BF=18, MI=3 and MO=0 with a minimum GCV value at 69.587. Variables that have a significant effect are the percentage RTM that do not have public toilet facilities (X5), the variable percentage of RTM that is the type of floor of a residential building made of poor quality soil / bamboo / wood (X4), and the percentage of RTM that does not own the building (X1).
Keywords
Poverty; MARS; Poor Households; GCV

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