Analysis of Urban Space Utilization in Tanjung Bunga Area Case Study : Tanjung Bunga Area, Tanjung Merdeka, Makassar

Nasrullah Nasrullah(1), T Slamet(2), A Rahman(3),


(1) Urban Management, Postgraduate Faculty, Hasanuddin University, Perintis Kemerdekaan Km 10, Makassar, 90245, Indonesia
(2) Urban Management, Postgraduate Faculty, Hasanuddin University, Perintis Kemerdekaan Km 10, Makassar, 90245, Indonesia
(3) Urban Management, Postgraduate Faculty, Hasanuddin University, Perintis Kemerdekaan Km 10, Makassar, 90245, Indonesia
Corresponding Author

Abstract


The concentration of development in urban areas, on the one hand, increases employment in the non-agricultural sector, but also has a negative impact that is less profitable. areas, on the one hand, increases employment in the non-agricultural sector, but also has a negative impact that is less profitable. In the coastal area of Makassar City, housing development, tourism and business, have changed coastal land use rapidly in the last two decades. Uncontrolled land use can threaten coastal areas and change the sustainability of coastal areas. This study discusses the development of predictions of land use change in 2034 using the Celular Automata Markov (CA-Markov) method. . The research location of the Tanjung Merdeka coastal area is near the city of Makassar with a research area of 433.14 hectares. The main data sources are downloaded on the Landsat Google Earth satellite imagery map for 2004-2019. By using ArcMap 10.3 and Idris Selva 17.0 the predictive analysis of land change can work well. The results of this study during the period 2004-2019 that land use changed significantly in the Tanjung Bunga area, Tanjung Merdeka Village. Previously built land was only 87.17 Ha (20.13%), which has doubled to 191.26 Ha (44.16%) in 2019. The prediction of land use for 2034 shows that the largest change in constructed land is 262.39 Ha. (60.58%); The results of the research on vacant land, agriculture, ponds, water bodies and the sea are reduced. To compare the land use between the 2015-2034 RTRW spatial pattern map and the CA-Markov land use prediction map, it was done by comparing the land use of the two

 

 

 


Keywords


- land use, coastal land use, predicted land use 2034, cellular automata Markov.

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