Analisis Kesesuaian Tutupan Lahan Tahun 2040 terhadap Pola Ruang Ruang Wilayah Kabupaten Rokan Hulu Tahun 2020-2040 Analysis of Land Cover Suitability for 2040 in Relation to Spatial Planning Patterns in Rokan Hulu Regency for 2020-2040
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986-999
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10.58578/aldyas.v3i3.3558
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Authors:
Akbar Ramanda1, Fitriana Syahar2 
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Abstract
This study aims to: a) Analyze the land cover in 2022 in Rokan Hulu Regency. b) Analyze the suitability of land cover in 2022 against the spatial patterns in Rokan Hulu Regency. c) Predict the land cover in 2040 in Rokan Hulu Regency. d) Analyze the suitability of the predicted land cover in 2040 against the spatial patterns in Rokan Hulu Regency. The method used in this study is quantitative research. The data analysis techniques include image interpretation sourced from SPOT 6/7 and Sentinel 2 imagery, cellular automata (CA), and overlay. Based on the results of this study, it can be concluded that the land cover in Rokan Hulu Regency consists of 6 classes: forest, built-up land, open land, water bodies, agriculture, and shrubs. In 2022, the area of forest land cover is 81,112.20 ha, built-up land is 10,214.72 ha, open land is 7,368.03 ha, water bodies are 12,851.11 ha, agriculture is 711,265.76 ha, and shrubs are 239.62 ha, with a suitability level against the spatial pattern of 51.33%. In 2040, the area of forest land cover is 85,462 ha, built-up land is 10,226 ha, open land is 2,745 ha, water bodies are 16,300 ha, agriculture is 704,256 ha, and shrubs are 4,060 ha, with a suitability level against the spatial pattern of Rokan Hulu Regency of 47.9%.
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References
BPS Rokan Hulu. (2023). Kabupaten Rokan Hulu Dalam Angka 2023.
Devara, M. R., Sutoyo, S., & Rau, M. I. (2023). Analisis Spasial Sebaran Pemukiman terhadap Kemiringan Lereng di Kota Depok. Jurnal Teknik Sipil Dan Lingkungan, 8(1), 47–56. https://doi.org/10.29244/jsil.8.1.47-56
Fitriyanto, B. R. (2019). Model Prediksi Perubahan Penggunaan Lahan Dengan Pendekatan Sistem Informasi Geografis Dan Cellular Automata Markov Chain: Studi Kasus Kabupaten Rokan Hulu. Jurnal Teknologi Technoscientia, 11(2), 137–147.
Mentri Lingkungan Hidup Dan Kehutanan Republik Indonesia. (2018). Tata Cara Pelepasan Kawasan Hutan Produksi Yang Dapat Dikonversi. Peraturan Mentri Lingkungan Hidup Dan Kehutanan Republik Indonesia, 3(1), 10–27. https://medium.com/@arifwicaksanaa/pengertian-use-case-a7e576e1b6bf
Muslim, S., Utomo, R. P., & Permana, C. T. H. (2023). Perubahan penggunaan lahan dan dan pola spasial tutupan lahan di sekitar Kawasan Industri Purwosuman, Sragen. Region : Jurnal Pembangunan Wilayah Dan Perencanaan Partisipatif, 18(1), 38. https://doi.org/10.20961/region.v18i1.53755
Nurry, A., & Anjasmara, I. M. (2014). Kajian Perubahan Tutupan Lahan Daerah Aliran Sungai Brantas Bagian Hilir Menggunakan Citra Satelit Multi Temporal (Studi Kasus: Kali Porong, Kabupaten Sidoarjo). Geoid, 10(1), 70. https://doi.org/10.12962/j24423998.v10i1.694
Republik Indonesia. (2007). Undang-undang No. 26 tahun 2007 tentang Penataan Ruang,. Journal of Chemical Information and Modeling, 110(9), 1689–1699.
Setiawan, F. (2020). Lahan Kabupaten Bangka Selatan. 209–213.
Susanti, Y., & Helmi, M. (2020). Analisa Perubahan Penggunaan Lahan Di Daerah Aliran Sungai Serayu Hulu Dengan Pengginderaan Jauh dan Sistem Informasi Geografis Analysis of Land Use Change in Upper Serayu Watersheds Using Remote Sensing and Geographic Information Systems. 13.
Toure, S. I., Stow, D. A., Shih, H. chien, Weeks, J., & Lopez-Carr, D. (2018). Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis. Remote Sensing of Environment, 210, 259–268. https://doi.org/10.1016/j.rse.2018.03.023
Rakuasa, H., Salakory, M., & Latue, P. C. (2022). Analisis Dan Prediksi Perubahan Tutupan Lahan Menggunakan Model Celular Automata-Markov Chain Di Das Wae Ruhu Kota Ambon. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 285–295. https://doi.org/10.21776/ub.jtsl.2022.009.2.9
Dora, N., & Roziqin, A. (2020). Land Use and Its Suitability to the Spatial Pattern in Batam City. Journal of Applied Geospatial Information, 4(2), 363–366. https://doi.org/10.30871/jagi.v4i2.1973
Soma, A. S. (2021). Analisis Kesesuaian Tutupan lahan Terhadap Pola Ruang Di Daerah Aliran Sungai Bialo. Agroplantae: Jurnal Ilmiah Terapan Budidaya Dan Pengelolaan Tanaman Pertanian Dan Perkebunan, 10(1), 1–8. https://doi.org/10.51978/agro.v10i1.225
Prayitno, G., Sari, N., Hasyim, A. W., & Nyoman Widhi, S. W. (2020). Land-use prediction in Pandaan District pasuruan regency. International Journal of GEOMATE, 18(65), 64–71. https://doi.org/10.21660/2020.65.41738
Rosidah, E., Faisal, M., & Anggriani, I. (2021). Metode Celullar Automata Dan Metode Beda Hingga Untuk Model Simulasi Pola Kebakaran Hutan. Seminar Nasional Teknologi Informasi Dan Matematika (SEMIOTIKA), 1(1), 19–27. https://journal.itk.ac.id/index._php/semiotika/article/view/639
Hyandye, C., & Martz, L. W. (2017). A Markovian and cellular automata land-use change predictive model of the Usangu Catchment. International Journal of Remote Sensing, 38(1), 64–81. https://doi.org/10.1080/01431161.2016.1259675
Mas, J. F., Lemoine-Rodríguez, R., González-López, R., López-Sánchez, J., Piña-Garduño, A., & Herrera-Flores, E. (2017). Land use/land cover change detection combining automatic processing and visual interpretation. European Journal of Remote Sensing, 50(1), 626–635