| Issue |
SHS Web Conf.
Volume 149, 2022
International Conference on Social Science 2022 “Integrating Social Science Innovations on Post Pandemic Through Society 5.0” (ICSS 2022)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 5 | |
| Section | Education and Digital Learning | |
| DOI | https://doi.org/10.1051/shsconf/202214901029 | |
| Published online | 18 November 2022 | |
Mapping the Poverty Rate of The South Sulawesi Region
1 Social Science Education, Faculty of Social Sciences, Makassar State University
2 Social Science Education, Faculty of Social Sciences, Makassar State University
3 Social Science Education, Faculty of Social Sciences, Makassar State University
4 Social Science Education, Faculty of Social Sciences, Makassar State University
* Corresponding author: feripadli@unm.ac.id
This research purpose to presenting information on a smaller regional scale and comparing the conditions of each region. Researchers conducted a poverty mapping technique based on geospatial information. Utilizing the Geographic Information System (GIS) application, namely ArcMap with conversion tools techniques. Data collection techniques with literature study. The poverty level data is processed into tabulation form in the excel application. Meanwhile, the regional base map is first input into the ArcMap application to overlay all regions in one province. The product is a map of the poverty level of the district/city community in the administrative area of South Sulawesi Province. The map will show an image of the area by color category. The dark color gradation means the area with the highest poverty rate and the lightest color means the area with the lowest poverty rate. The results obtained indicate that the districts with the highest poverty rates are Makassar City and Bone District. Meanwhile, the areas with the lowest poverty rates are Barru Regency, Sidenreng Rappang Regency, Pare-Pare City and Palopo City.
Key words: Poverty / Mapping / GIS / South Sulawesi
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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