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Analisis Ketersediaan Ruang Terbuka Hijau Menggunakan Pendekatan Indeks Hijau-Biru Indonesia Di Kelurahan Tamalanrea Tombe, Monica; Fuad Aziz, Muhammad; Budiharto, Tri; Jibran, Muh. Khalil
Journal of Urban Planning Studies Vol 4 No 1 (2023): Journal of Urban Planning Studies, November 2023
Publisher : Fakultas Teknik Universitas Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/jups.v4i1.474

Abstract

The purpose of this study is to determine the availability of green open space in Tamalanrea Village and how the strategy to maximize green open space in Tamalanrea Village can be an input or reference for the government as a policy determinant in the development, private parties, social institutions, or communities that act as development implementation and for planners in terms of increasing development, especially in terms of providing green open space. This qualitative research uses data collection techniques using observation, interview, documentation, and literature study methods. The data obtained were then analyzed using the spatial approach, qualitative descriptive analysis, and Indonesian Green-Blue Index (IHBI) approach. The conclusion of this study is that the availability of green open space in Tamalanrea Village based on MINISTER OF ATR / BPN Number 14 of 2022 concerning the provision and utilization of green open space consisting of allotment areas or green open space zones, namely RT parks and green lanes, allotment areas or other zones, namely agricultural areas, green open spaces on plots, namely parcels in residential zones, parcels in office zones, and home yards, as well as blue open space areas, namely lakes whose availability needs to be maximized ecologically and socially based on MINISTER OF ATR / BPN Number 14 of 2022.
Study of Urban Growth Center Development Factors and Simulation The Mamminasata Urban Area Rasyidi, Emil Salim; Jumadil; Syafri; Rahman, Rahmawati; Rusneni; Hamsinah; Jibran, Muh. Khalil
Jurnal Penelitian Pendidikan IPA Vol 10 No 4 (2024): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i4.6380

Abstract

Urban growth starts from a center and affects the surrounding areas, this is due to the emergence of additional centers that will each function as growth poles, to study the dynamics related to urban growth center information, several data and extraction and analysis methods are needed. This study examines several methods of extracting information on urban growth centers from Landsat 8 OLI/TIRS in 2013 and 2023 by utilizing the spectral resolution of Landsat imagery in the Mamminasata area, and integrating spatial modeling to simulate the growth centers of the Mamminasata area in the next 10 years (2043). The results of this research classification method show an accuracy rate of 71.48%. The results of the determinant factor test show that the most influential factors are the distance from the center of shops, slope, then the distance from the university, and the distance from the main road in 2013-2023 Mamminasata Urban Area. The results of this variable drive test are then used in spatial simulations using the markov chain simulation method in the LCM module and show an increase in the area of the growth center in the Mamminasata region, for the entire scope of the Mamminasata region, the Makassar City area shows the highest intensity of regional growth centers and becomes the center of growth in the Mamminasata urban area. The planning concept applied to the results of this study is based on resources, geographic location, and factors affecting the growth center.