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September 23, 2025e-Jurnal Penyelidikan dan InovasiOpen Access

Spatial Analysis Model of Land Use Change and Prediction in Ciawi District Using Cellular Automata - Artificial Neural Network

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Authors

MHMohamad Zaky HezbollahEHErwin HermawanSHSahid Agustian H

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Overview

This spatial analysis predicts land use changes in Ciawi, highlighting increases in built-up land and its impacts.

Key Points

  • Built-up land increased significantly from 291.45 hectares in 2003 to 1,262.37 hectares in 2023, indicating urban expansion.
  • Prediction for 2033 estimates built-up land will be around 1,073.07 hectares, suggesting ongoing development pressures.
  • Model validation revealed an overall accuracy of 92.92% and a Kappa coefficient of 0.82, demonstrating excellent predictive quality.
  • Analysis utilized cellular automata and artificial neural networks, employing Landsat images and driving variables for accurate predictions.

Cite This Study

Hezbollah et al. (2025) studied this question.

synapsesocial.com/papers/68d475a031b076d99fa6dc6ehttps://doi.org/10.53840/ejpi.v12i2.279
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