Land Use Change Modeling to Support the Management Plan of Protected FMU Unit II FMU Region XV Kabanjahe
DOI:
https://doi.org/10.32734/jsi.v9i01.20518Keywords:
Artificial Neural Network (ANN), Forest Management Unit, Geographic Information System (GIS), Land Use, Spatial AnalysisAbstract
Deforestation results in environmental degradation, so it is necessary to conduct a study to determine land use changes that occur and predict land changes with appropriate directions to support the Protected FMU Unit II FMU Region XV Kabanjahe management plan. This study aims to analyze changes and predictions of land use in 2013-2033, factors that influence land use change, and formulate directions for land use plans in Protected FMU Unit II FMU Region XV Kabanjahe. This research uses a Geographic Information System approach with the Artificial Neural Network (ANN) method prediction model. Factors driving land use change as model inputs consist of distance to road, distance to permit, distance to settlement, distance to river, elevation, geology, soil type, and slope. The results showed that there has been a decrease in dryland forest by 6,957 ha in the 2013-2018 period, and the driving factor that has the highest degree of relationship based on the results of the correlation test is the distance to the road, which is 0.2444. The land use change prediction model has an accuracy of 89.42% based on Kappa Index Agreement (KIA). The direction of the land use plan in Protected FMU Unit II FMU Region XV Kabanjahe in 2033 consists of Protected Forest Area which has the largest area, namely 64,678 ha, Production Forest covering 7,077 ha, and Limited Production Forest covering 9,278 ha.
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Fitria W, Suharjito D, Ekawati S, “Peran Kesatuan Pengelolaan Hutan (KPH) dalam Implementasi Perhutanan Sosial: Studi di KPH Produksi Kerinci, Provinsi Jambi dan KPH Lindung Sijunjung, Provinsi Sumatera Barat,” Jurnal Analisis Kebijakan Kehutanan, vol. 18, no.2, pp.145-160, 2021.
Adhiatma R, Widiatmaka, Lubis I, “Perubahan dan Prediksi Penggunaan/Penutupan Lahan di Kabupaten Lampung Selatan”, Journal of Natural Resources and Environmental Management, vol.10, no.2, pp.234-246, 2020.
Koedadiri MA, Purwoko A, Sulistyono N, “Pemodelan Spasial Daerah Rawan Kebakaran Hutan dan Lahan Pada Kabupaten Karo Menggunakan Metode Analytical Hierarchy Process”, Jurnal Serambi Engineering, vol. 9, no.2, pp.8638-8650, 2024.
Ilyas M, Munibah K, Rusdiana O, “Analisis Spasial Perubahan Penggunaan Lahan dalam Kaitannya dengan Penataan Zonasi Kawasan Taman Nasional Gunung Halimun-Salak”, Jurnal Majalah Ilmiah Globe, vol.16, no.1, pp.33-42. 2014.
Juniyanti L, Prasetyo LB, Aprianto DP, Purnomo H, Kartodihardjo H, “Perubahan Penggunaan dan Tutupan Lahan, serta Faktor Penyebabnya di Pulau Bengkalis, Provinsi Riau (periode 1990-2019)”, Journal of Natural Resources and Environmental Management, vol.10, no.3, pp.419-435, 2020.
Alshari EA, Gawali BW, “Development of Classification System for LULC Using Remote Sensing and GIS”, Global Transitions Proceedings, no.2, pp.8-17, 2021.
Septiono DS, Mussadun, “Analisa Perubahan Penggunaan Lahan Di Daerah Aliran Sungai Serayu Hulu Dengan Pengginderaan Jauh dan Sistem Informasi Geografis”, Jurnal Pembangunan Wilayah dan Kota, vol.12, no.3, pp.277-292, 2016.
Temesgen F, Warkineh B, Hailemicael A, “Seasonal Land Use/Land Cover Change and The Drivers in Kafta Sheraro National Park, Tigray, Ethiopia”, Heliyon, vol.8, no.12, pp.1-21, 2022.
Sampurno RM, Thoriq A, “Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) di Kabupaten Sumedang (Land Cover Classification using Landsat 8 Operational Land Imager (OLI) Data in Sumedang Regency)”, Jurnal Teknotan, vol.10, no.2, pp.61-70, 2016.
Marwati A, Prasetyo Y, Suprayogi A, “Analisis Perbandingan Klasifikasi Tutupan Lahan Kombinasi Data Point Cloud Lidar dan Foto Udara Berbasis Metode Segmentasi dan Supervised (Studi Kasus : Tanggamus Lampung)”, Jurnal Geodesi Undip, vol.7, no.1, pp.36-45, 2018.
Ridwan F, Ardiansyah M, Gandasasmita K, “Pemodelan Perubahan Penutupan/Penggunaan Lahan dengan Pendekatan Artificial Neural Network dan Logistic Regression (Studi Kasus: Das Citarum, Jawa Barat)”, Jurnal Buletin Tanah dan Lahan, vol.1, no.1, pp.30-36, 2017.
Nugroho RA, Handayani HH, “Prediksi Perubahan Tutupan Lahan Menggunakan Metode Markov Chain dan Citra Satelit Penginderaan Jauh (Studi Kasus: Kota Surabaya)”, Jurnal Teknis ITS, vol.9, no.2, pp.C71-C77, 2020.
Ashari AF, Ashar Z, Munawir, Zaman N, Risal D, Rachmat A, Arfadly, “Model Spasial Pengendalian Area Terbangun di Kota Makassar”, Jurnal Ecosulum, vol.11, no.2, pp.136-156, 2022.
Darmawan AR, Puspaningsih N, Saleh MB, “Kajian Perubahan Tutupan Lahan dengan Menggunakan Metode Multi Layer Perceptron dan Logistic Regression di Taman Nasional Gunung Ciremai”, Jurnal Media Konservasi, vol.22, no.3, pp.252-261, 2017.
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