LAND-USE PREDICTION IN PANDAAN DISTRICT PASURUAN REGENCY

Authors

  • Gunawan Prayitno
  • Nindya Sari
  • AW Hasyim
  • Nyoman Widhi SW

Keywords:

Rapid development, Cellular automata, Land-use change, Prediction of settlement

Abstract


Land-use change in Pandaan District was identified as the fourth-highest in East Java Province.
This change is due to the population increase caused by the strategic location of the Pandaan Sub-district,
which is passed by the Surabaya-Malang City connecting road, creating a rapid development of built-up land.
The spread of built-up land development with low density becomes the initial identification of the sprawl
phenomenon. Changes in land-use due to push factors caused inconsistencies in the development of existing
land as stipulated in spatial planning documents. This study aims to determine land-use change and land-use
prediction in Pandaan Sub-district to be used for future planning. Research methods incorporated spatial
analysis of land-use change and the land-use planning process in ArcMap and SELVA IDRISI. The land use
forecasts for modeling are based on the use of the Cellular Automata (CA) -Markov method and the ANN /
MLP method. Land-use changes were identified through land-use comparisons in recent years. The land-use
prediction was determined through the land-use change transition by including the motivating and inhibiting
variables of land-use changes. The results of the study stated that the most significant land-use change
occurred in rural/urban villages passed by arterial and collector road connecting Surabaya-Malang City. CAMarkov results showed that the results of land-use prediction have a linear development pattern in the
spreading road networks and residential settlements. The prediction results show that settlement
increase13,62% and industry increase 20,7%..

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Published

2020-01-27

How to Cite

Gunawan Prayitno, Nindya Sari, AW Hasyim, & Nyoman Widhi SW. (2020). LAND-USE PREDICTION IN PANDAAN DISTRICT PASURUAN REGENCY. GEOMATE Journal, 18(65), 64–71. Retrieved from https://geomatejournal.com/geomate/article/view/399