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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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
id id-itb.:76338
spelling id-itb.:763382023-08-14T14:58:04ZMODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY Adzan Bintang Hawari, Andi Perencanaan wilayah Indonesia Final Project Slum settlements, Slum settlement hotspots, Cellular Automata INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/76338 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. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Perencanaan wilayah
spellingShingle Perencanaan wilayah
Adzan Bintang Hawari, Andi
MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
description 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.
format Final Project
author Adzan Bintang Hawari, Andi
author_facet Adzan Bintang Hawari, Andi
author_sort Adzan Bintang Hawari, Andi
title MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
title_short MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
title_full MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
title_fullStr MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
title_full_unstemmed MODELING THE LOCATION OF INFORMAL SETTLEMENT GROWTH IN MAKASSAR CITY
title_sort modeling the location of informal settlement growth in makassar city
url https://digilib.itb.ac.id/gdl/view/76338
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