Abstract
Abstrak. Salah satu bentuk pembangunan yang ada di Kabupaten Majalengka yaitu pembangunan Bandara Internasional Jawa Barat yang mengakibatkan terjadinya perubahan penutup lahan. Perubahan penutup lahan dapat di analisis menggunakan teknologi penginderaan jauh dan sistem informasi geografi. Selain itu model prediksi perubahan penutup lahan dapat di analisis dengan menggunakan metode cellular automata markov chain. Tujuan dari penelitian ini yaitu (1) menyusun model prediksi perubahan penutup lahan tahun 2026 dan 2030 di Kabupaten Majalengka, (2) melakukan analisis perbandingan antara model prediksi penutup lahan tahun 2030 dengan peta pola ruang tahun 2011-2031. Perubahan penutup lahan yang terjadi selama 2014 sampai 2030 menunjukkan penurunan luas bukan lahan pertanian sebesar 225,241 Km2 dan adanya peningkatan luas lahan pertanian, lahan terbuka, dan lahan terbangun masing-masing sebesar 136,172 Km2, 57,768 Km2, dan 30,774 Km2. Model prediksi penutup lahan tahun 2030 memiliki keseuaian dengan nilai minimal dengan peta pola ruang tahun 2011-2031 dengan luas penutup lahan tertinggi pada lahan pertanian dengan persentase luas masing-masing 68,013% dan 71,180%. Abstract. One form of development in Majalengka Regency is the construction of the West Java International Airport which resulted in changes in land cover. Land cover changes can be analyzed using remote sensing technology and geographic information systems. apart from that, the prediction model for land cover changes can be analyzed using the cellular automata Markov chain method. The objectives of this research are (1) to develop a prediction model for land cover changes in 2026 and 2030 in the Majalengka Regency, and (2) to carry out a comparative analysis between the 2030 land cover prediction model and the 2011-2031 spatial pattern map. Changes in land cover that occurred from 2014 to 2030 showed a decrease in the area of non-agricultural land by 225,241 Km2 and an increase in the area of agricultural land, open land, and built-up land of 136,172 Km2, 57,768 Km2, and 30,774 Km2 respectively. The 2030 land cover prediction model agrees with the minimum value of the 2011-2031 spatial pattern map with the highest land cover area on agricultural land with area percentages of 68.013% and 71.180% respectively.Submitted: 2023-11-17 Revisions: 2024-04-01 Accepted: 2024-09-11 Published: 2024-09-18
Published Version
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