Abstract
Poverty becomes one of the global problems especially in developing country. Poverty is condition when people have difficulty to access basic needs and unable access it. This research takes place at Gedangan District, Malang Regency. This research aims are to: i) measure multidimension poverty index and ii) find out neighbourhood relationship among villages in Gedangan District. There are two research methods which are are used: i) Multidimensional Poverty Index (MPI) - consists of three dimensions (health, education and living standard); and ii) Spatial Data Analysis. MPI value measurement indicates that there are 2 MPI levels: low level (4 villages) and medium level (4 villages). Therefore, based on the MPI measurement, there are 4 villages with medium level of MPI as the priority villages to deal with poverty. The result of LISA map by spatial data analysis indicates that cluster of Low-High is form by Sidodadi village. It means that there are inequality facilities services between low value area and high value area. Sidodadi gets better services than its neighbour because it gets better service from another district, and it is vice versa for the village that have high value but does not get good facility services from Gedangan District.
| Original language | English |
|---|---|
| Article number | 012043 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 328 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 24 Oct 2019 |
| Event | 4th International Conference in Planning in the 2019 Era of Uncertainty, ICPEU 2019 - Malang City, Indonesia Duration: 12 Mar 2019 → 13 Mar 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
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SDG 10 Reduced Inequalities
Keywords
- Multidimensional Poverty Index
- Poverty Alleviation
- Spatial Analysis
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