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Long-Term Dynamics Of Tropical Rainforest Land Cover In Lawe Gurah Resort, Gunung Leuser National Park, 1990–2024 Nurhasanah; Halus Satriawan; Cut Azizah
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 9 (2026): AUGUST
Publisher : RADJA PUBLIKA

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Abstract

Long-term land-cover records are essential for evaluating ecological change at the operational scale of protected-area management. This study quantified land-cover dynamics in Lawe Gurah Resort, Gunung Leuser National Park, using nine harmonized GIS layers for 1990, 1996, 2000, 2006, 2011, 2016, 2021, 2023, and 2024. Area, percentage, absolute change, and mean annual change were calculated for each mapped class. Primary dryland forest declined from 51,349.34 ha in 1990 to 37,944.04 ha in 2024, a reduction of 13,405.30 ha (26.11%; 394.27 ha yr−1). Secondary dryland forest increased from 980.99 to 12,281.11 ha, while combined primary and secondary forest decreased more moderately from 52,330.33 to 50,225.15 ha (4.02%). Forest share therefore fell from 97.11% to 93.25%. Shrubland doubled to 1,654.67 ha, and mixed dryland agriculture reached 1,531.54 ha after first appearing in 2011. The results show a substantial shift in forest composition alongside a smaller net contraction of total forest. Management should prioritize recurrent mapping, field verification, and targeted surveillance of areas where secondary forest, shrubland, and mixed agriculture have expanded.
Perubahan Penggunaan Lahan dan Dampaknya Terhadap Koefisien dan Volume Limpasan Banjir Di Das Keureuto, Provinsi Aceh (Land-Use Changes and Their Impact on Runoff Coefficient and Flood Volume in the Keureuto Watershed, Aceh Province) Cut Azizah; Cut Nofita; Halus Satriawan; Ridwan Iriadi; Sarif Robo; Misnawati
Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research) Vol 9 No 1 (2025): Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Manageme
Publisher : Asosiasi Peneliti dan Teknisi Kehutanan dan Lingkungan Hidup Indonesia (APTKLHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/jppdas.2025.9.1.105-120

Abstract

Land-use changes significantly impact watershed hydrology, including increased surface runoff and flood risk. This study uses the Soil Conservation Service–Curve Number (SCS-CN) method to evaluate the impact of land-use changes on the runoff coefficient (C) and flood runoff volume in the Keureuto Watershed in Aceh Province. . Land-use data were analyzed from four time periods: 1990, 2000, 2010, and 2024. Rainfall, soil type, and elevation data were used to calculate CN values, runoff volume, and the runoff coefficient. A land-use transition matrix was used to identify land use conversion patterns, and integrated them into a geographic information system (GIS) for spatial analyses. The results show significant increases in the area of settlements (82.9%), open land (77.4%), and shrubland (45.2%), while primary and secondary forests areas declined by 21.1% and 23.1%, respectively. These changes caused the Curve Number value to increase from 69.5 in 1990 to 71.9 in 2024. The spatial distribution analysis shows increases in areas with medium (28%) and high (6.5%) CN values. In line with the 46.6% increase in rainfall, the surface runoff volume increase from 1,704,979,578 m³ to 2,572,791,394 m³, or by 46.7%. In parallel, the runoff coefficient (C) increased from 0.928 to 0.955, indicating decreased infiltration capacity due to land use changes. These findings suggest that land-use changes directly increase CN and C values, contributing to higher surface runoff and flood risk in the Keureuto Watershed. 
Analisis Wilayah Kerentanan Bencana Banjir Berbasis Sistem Informasi Geografis di Kota Lhokseumawe Cut Ayu Lizar; Halus Satriawan; Cut Azizah
Teras Jurnal : Jurnal Teknik Sipil Vol. 14 No. 1 (2024): Volume 14 Nomor 1, Maret 2024
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v14i1.1004

Abstract

Abstrak Lhokseumawe merupakan wilayah yang sering terjadi banjir atau genangan. Pencegahan banyaknya korban serta kerugian material dapat dilakukan dengan zonasi wilayah rentan banjir. Metode analisis penelitian adalah deskriptif analitik. Sistem informasi geografis yang merupakan sistem informasi berbasis komputer digunakan dalam penelitian. Aplikasi Software Arcgis 10.8 digunakan untuk penyajian informasi dan pemetaan zonasi kerentanan banjir. Setiap parameter dilakukan proses scoring menggunakan metode AHP dan klasifikasi nilainya dilakukan overlay. Tujuan penelitian adalah mengklasifikasi data dasar parameter kerentanan banjir dalam bentuk spasial, pemetaan wilayah rentan banjir, serta diketahuinya faktor penyebab banjir yang paling dominan.  Hasil penelitian diperoleh wilayah sangat rentan banjir 51,08 km2 (37,27%), rentan 81,42 km2 (59,40%), kerentanan sedang 3,75 km2 (2,74%), sedikit rentan 0,41 km2 (0,30%) dan tidak rentan 0,39 km2 (0,29%). Faktor penyebab banjir yang paling dominan adalah densitas drainase dengan kategori sangat buruk dan buruk dengan persentase 95,37% sehingga kurang baiknya sistem pengaliran. Kata kunci: zonasi, kerentanan, banjir, arcgis, AHP  Abstract Lhokseumawe an area that often experiences flood or inundation. Preventing large numbers of victims and material losses can be done by zoning areas prone to flooding. The research analysis method is descriptive analytic. Geographic information systems, which are computer-based information systems, are used in research. The Arcgis 10.8 software application is used to present information and map flood vulnerability zoning. Each parameter is subjected to a scoring process using the AHP method and the value classification is overlaid. The aim of the research is to classify basic data on flood vulnerability parameters in spatial form, map flood vulnerable areas, and identify the most dominant factors causing floods. The research results showed that the area was very vulnerable to flooding 51.08 km2 (37.27%), vulnerable 81.42 km2 (59.40%), moderately vulnerable 3.75 km2 (2.74%), slightly vulnerable 0.41 km2 (0.30%) and not susceptible 0.39 km2 (0.29%). The most dominant factor causing flooding is drainage density in the very poor and poor categories with a percentage of 95.37% so that the drainage system is not good. Keywords: zonation, vulnerability, flood, Arcgis, AHP