MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY

The Indonesian government through the National Development Planning Agency, in Sustainable Development Goal 11 regarding sustainable cities and communities, has set a target to ensure access for all to adequate, safe, and affordable housing, basic services, and to upgrade slums by the year 2030....

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Bibliographic Details
Main Author: Adzan Bintang Hawari, Andi
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/76338
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The Indonesian government through the National Development Planning Agency, in Sustainable Development Goal 11 regarding sustainable cities and communities, has set a target to ensure access for all to adequate, safe, and affordable housing, basic services, and to upgrade slums by the year 2030. However, until now, slum settlements continue to grow informally in every city in Indonesia. This research aims to identify the locations of slum settlements in the year 2030 in Makassar City. The data collection method used is the collection of secondary data related to the distribution of slum settlements and data on suspected driving factors of slum settlements in Makassar City. The analysis used in this research includes binary logistic regression analysis, which aims to identify the driving factors of slum settlement growth, analysis of slum settlement growth using cellular automata modeling, and analysis of slum settlement hotspots to determine the concentration of slum settlements in the year 2030. The research results show that significant driving factors of slum settlement growth are the density of buildings, the percentage of poor population in each sub-district, the distance to the coastline, and the distance to industrial buildings. The research also indicates that in the year 2030, there will be a reduction in slum areas by 36,947.4 m2 or 0.037 km2. Moreover, the research shows a high concentration of slum settlements in the year 2030 in 5 sub-districts, namely Tamalanrea, Tallo, Tamalate, Panakkukang, and Kepulauan Sangkarrang.