Cellular Automata: A Spatial Method to Identified Land Use Change Modeling (Case Study: Tembalang District, Semarang, Indonesia

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Abstract Summary
The toll roads is a generator in the development of the city of Semarang. This is indicated by aspiration from an increase in population, an increase in built-up land, and an increase in economy (GDP). In spatial this can be predicted by remote sensing techniques using land use data extracted from multitemporal Landsat imagery. This study uses cellular automata methods to make a sustainable city modeling, by 1) Assessing Landsat image data to be extracted into data series changes and developments in urban land use; (2) Identifying the impact of changes in land use from opening toll road access in Semarang City; (3) Validate and simulate the growth model of the land built in Semarang City in 2023-2028, and (4) Synthesis the Semarang Semarang City's Planning Document. This study used Landsat 5 TM imagery in 1998, Landsat 7 ETM + 2003 images, 2013, and Landsat 8 OLI imagery in 2018 and then classified using ENVI 5.1 software. The results are used to analyze the pattern of urban development and the impact of the Development of Semarang City due to the opening of the Semarang City toll road access. Then the growth modeling in Semarang in 2023 and 2028 used the Markov-Cellular Automata method. The modeling process uses the Terrset Geospatial Monitoring and Modeling System software, and the results of the modeling are used as a basis for monitoring the Semarang City's Planning Document. The results of the land use classification show that the development of Semarang City leads to the east and south. These results are shown in a 2-dimensional perspective map (X axis and Y axis) without regard to growth to the Z axis. As a result, five Sub-districts were affected by the existence of toll road access. There are: Tembalang, Banyumanik , Ngaliyan District, Genuk , and Pedurungan District. As the result, the spatial model shows land built in cells changed in 2023 were 85,000 cells / 8,200 Ha and in 2028 100,000 cells / 9,500 Ha. This model validity rate is 83% which is very good. In the end, it is synthesized with Semarang City's Planning Document and shown the direction of city's development into protected areas.
Abstract ID :
ISO619
Submission Type
Lecturer
,
Institut Teknologi Sumatera (ITERA)
Lecture Assistant
,
Institut Teknologi Bandung

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