Abstract

This study aims to analyze the drivers of land use change in Kampar District and to make modeling of land use changes in 2028. This study uses a survey method. To find out the factors driving the changes in land use in Kampar District were analyzed using binary logistic regression with a stepwise method. Forward land use prediction in 2028 with 3 scenarios was carried out by modeling using Markov Chain and Cellular Automata (CA). The results showed that the density population, altitude, slope, distance to the main road, distance to the river, and distance to the subdistrict city are the driving factors that influence changes in the use of forest land to plantations, forests to open land, mixed plantations to built up land, and mixed plantations to plantations in Kampar District The results of land use modeling in 2028 using CA-Markov with 3 scenarios indicate an increase or reduction in several types of land use, especially forests, plantations, paddy fields and built up land use, forest land use decreases widely in scenario I, and scenario II , on the contrary experience an increase in area in scenario III; plantation land use shows the addition of the three scenarios created; Likewise the developed land shows addition to all three scenarios; Furthermore, there is a reduction in paddy fields in scenario I and scenario II, but in scenario III the use of paddy fields does not experience any addition or reduction

Highlights

  • This study aims to analyze the drivers of land use change in Kampar District and to make modeling of land use changes in 2028

  • To find out the factors driving the changes in land use in Kampar District were analyzed using binary logistic regression with a stepwise method

  • Hasil pemodelan penggunaan lahan Tahun 2028 menggunakan Cellular Automata (CA)-Markov dengan 3 skenario menunjukkan adanya peningkatan atau pengurangan di beberapa jenis penggunaan lahan terutama hutan, perkebunan, sawah dan lahan terbangun

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Summary

Introduction

This study aims to analyze the drivers of land use change in Kampar District and to make modeling of land use changes in 2028. Persamaan regresi logistik yang dihasilkan menunjukkan bahwa peluang terjadinya perubahan penggunaan lahan perkebunan campuran menjadi lahan terbangun berkisar 0 sampai 0,57 (Gambar 1.d.).

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