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Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City

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Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) (ICIAP 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 334))

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Abstract

Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built land. In line with population development, Kedungkandang District is also experiencing very rapid infrastructure development, so it is indicated that it can encourage greater land conversion. This study tries to develop a spatial model of land cover change in the Kedungkandang District based on Cellular Automata. The researcher uses the Artificial Neural Network (ANN) model, which is a machine learning technique used to model potential future land cover change transitions. The prediction results show that there is a growth of 166,78 hectares of built-up land from 2016 to 2036. The results of this modeling and prediction can be used as a basis for stakeholders in formulating future needs for infrastructure and public facilities, as well as ensuring effective policies to embody a sustainable environment.

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Acknowledgements

We are very grateful for the support from the Department of Urban and Regional Planning of Brawijaya University, members of the Editorial Board, and anonymous reviewers for their comments and the improvement of this research.

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Authors and Affiliations

  1. Urban and Regional Planning Engineering Department, Brawijaya Unıversity, Malang, Indonesia

    Annisa Dira Hariyanto, Adipandang Yudono & Agus Dwi Wicaksono

Authors
  1. Annisa Dira Hariyanto
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  2. Adipandang Yudono
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  3. Agus Dwi Wicaksono
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Corresponding author

Correspondence to Annisa Dira Hariyanto .

Editor information

Editors and Affiliations

  1. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Deva Fosterharoldas Swasto

  2. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Dwita Hadi Rahmi

  3. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Yani Rahmawati

  4. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Isti Hidayati

  5. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Jimly Al-Faraby

  6. Department of Architecture and Planning, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Alyas Widita

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Hariyanto, A.D., Yudono, A., Wicaksono, A.D. (2023). Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. In: Swasto, D.F., Rahmi, D.H., Rahmawati, Y., Hidayati, I., Al-Faraby, J., Widita, A. (eds) Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022). ICIAP 2022. Lecture Notes in Civil Engineering, vol 334. Springer, Singapore. https://doi.org/10.1007/978-981-99-1403-6_33

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  • DOI: https://doi.org/10.1007/978-981-99-1403-6_33

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