Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19 July 2019, Semarang, Central Java, Indonesia

Research Article

Prediction Study of Built Area Based Cellular Automata Modelling In Sayung Sub-district, Central Java

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  • @INPROCEEDINGS{10.4108/eai.18-7-2019.2290402,
        author={Wahid Akhsin BNS and Fahruddin  Hanafi and Sigit Bayhu I},
        title={Prediction Study of Built Area Based Cellular Automata Modelling In Sayung Sub-district, Central Java},
        proceedings={Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19 July 2019, Semarang, Central Java, Indonesia},
        publisher={EAI},
        proceedings_a={ICESI},
        year={2019},
        month={12},
        keywords={predictions built area cellular automata modelling},
        doi={10.4108/eai.18-7-2019.2290402}
    }
    
  • Wahid Akhsin BNS
    Fahruddin Hanafi
    Sigit Bayhu I
    Year: 2019
    Prediction Study of Built Area Based Cellular Automata Modelling In Sayung Sub-district, Central Java
    ICESI
    EAI
    DOI: 10.4108/eai.18-7-2019.2290402
Wahid Akhsin BNS1,*, Fahruddin Hanafi1, Sigit Bayhu I2
  • 1: Geography Department, Faculty of Social Science, UNNES, Indonesia
  • 2: Master Program in Aquatic Resource Management, Diponegoro University, Indonesia
*Contact email: akhsin1987@mail.unnes.ac.id

Abstract

Semarang city as a center of growth in Central Java province provide a high appeal in urbanization. Areas of high density triggers the development of the area extends out of Semarang. Sub-district Sayung as the region directly adjacent to the city of Semarang get fairly significant impact of the phenomenon, it is seen from changes in land use are quite dynamic in recent years. So in this study will examine the associated changes in built area in 2005, 2009, 2015 and 2019 as well as its development prediction in 2025 in Sayung Sub-district. The main data sources used were High-Resolution Satellite Imagery (CSRT) time series for the recording area Demak and surrounding areas, while some secondary data consisted of demographic data and some other spatial data in the form of thematic maps. Land use time series obtained from the CSRT visual interpretation to be done beforehand geometric correction on the entire image. Growth forecast and undeveloped land acquired by the raster model cellular automata using the software LanduseSim 2.0, where several parameters controller used include road networks and community centers. Results of prediction of undeveloped land in 2025 increased by 168.41 hectar of 2019 to the spatial distribution PANTURA lengthwise along the way.