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All Journal Jurnal Rekayasa Proses Jurnal Teknologi Mineral dan Batubara Journal of Geoscience, Engineering, Environment, and Technology Jurnal Rekayasa Proses Astonjadro JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Jurnal Pengabdian kepada Masyarakat Nusantara Maslahah: Jurnal Pengabdian Masyarakat Journal of Community Development Anoa : Jurnal Pengabdian Masyarakat Sosial, Politik, Budaya, Hukum. Ekonomi Ophiolite : Jurnal Geologi Terapan Jurnal Locus Penelitian dan Pengabdian Journal of the Civil Engineering Forum Jurnal Teknik Sumber Daya Air Jurnal Rekayasa Geofisika Indonesia Jurnal Pengabdian Nusantara (JPN) Jurnal Pertambangan dan Lingkungan Jurnal Lingkungan Almuslim Jurnal Inovasi Global OPHIOLITE : Jurnal Geologi Terapan Jurnal Teknologi Mineral dan Batubara Majalah Pengabdian Indonesia Jurnal Rekayasa Proses Jurnal Teknologi Sumberdaya Mineral
Anshari, Erwin
Jurusan Teknik Pertambangan, Fakultas Ilmu Dan Teknologi Kebumian, Universitas Halu Oleo, Jalan H.E.A. Mokodompit Kampus Hijau Bumi Tridharma Anduonou Kendari, 93132, Sulawesi Tenggara, Indonesia
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Journal : Journal of the Civil Engineering Forum

 1 
Machine Learning Approaches to Soil Erosion Risk Mapping: A Comparison between Logistic Regression and Fast Large Margin Olii, Muhammad Ramdhan; Mokarram, Marzieh; Anshari, Erwin; Olii, Rizky Selly Nazarina; Pakaya, Ririn
Journal of the Civil Engineering Forum Vol. 12 No. 2 (May 2026)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.24796

Abstract

Soil erosion is a critical environmental issue that accelerates land degradation, reduces agricultural productivity, and increases sedimentation in water bodies. Despite its importance, spatial prediction of erosion risk remains a challenge due to the complex interaction of topographic and vegetation-related factors. Previous studies have often overlooked the integration of topographic and remote sensing indices into advanced predictive models, thereby limiting the accuracy of erosion risk mapping. This study aims to evaluate the spatial distribution of soil erosion risk in the Tamalate Watershed, Gorontalo Province, Indonesia, by integrating topographic and remote sensing conditioning factors into Logistic Regression (LR) and Fast Large Margin (FLM) models. Eight conditioning factors—Normalized Difference Moisture Index (NDMI), Terrain Ruggedness Index (TRI), Stream Power Index (STI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Tillage Index (NDTI), Topographic Wetness Index (TWI), Sediment Power Index (SPI), and Vegetation Condition Index (VCI)—were analyzed using multicollinearity diagnostics and weighted scoring to quantify their relative importance. The results revealed that NDMI (0.253 in LR; 0.258 in FLM) and TRI (0.193 in LR; 0.244 in FLM) were the most influential factors controlling erosion risk, followed by STI (0.186 in LR; 0.166 in FLM). Spatially, both models classified most of the watershed into moderate risk (44.26% in LR; 48.31% in FLM) and high risk (26.09% in LR; 22.35% in FLM) categories, while very high-risk areas were minimal (<0.2%), yet critically important for soil conservation. The findings confirm that integrating topographic and remote sensing indices enhances the precision of erosion risk assessment. This research contributes theoretically and practically by demonstrating the robustness of the FLM approach in soil erosion risk modeling and by providing spatial evidence to support land management and conservation strategies in tropical watershed environments.
Co-Authors Abd. Hadid Rahman Ulfa Abd. Hadid Rahman Ulfa Abubakar Abubakar Ahmad Hidayat Aksara, L.M. Bahtiar Ali Okto Alrum Armid Ambarsari, Ika Sartika Ambarsari, IkaSartika Arif Setiawan Asri Arifin Awaliah Nafiu, Wd Rizky Awaliah Nafiu, Wd. Rizky Awaliah, Wd Rizky Awaliah, Wd. Rizky Dandy Ashari Daniyatno Daniyatno Deniyatno Deniyatno Deniyatno, Deniyatno Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fitra Saleh Hardiyanti Hakim Harisma Buburanda, Harisma Harziman Ningrat Hasria Hasria Hasria Hasria Hasria Hasria, Hasria Ika Sartika Ambarsari Irfan Saputra Isnaen Muhidin, Moh. Ita Juita, Ita Jamhir Safani Jaya, Rio Irhan Mais Cendra Jufri Karim La Ode Nafiu Marwan Zam Mili Marwan Zam Mili Marwan Zam Mili Marwan Zam Mili Marwan Zamili Masri Masri Masri Masri Mili, Marwan Zam Mokarram, Marzieh Muh. Imran Tahir Muh. Nuzul Khaq Muhammad Chaerul Muhammad Ichsanul Akbar Natsir Muhammad Ilham Kadar Muhammad Ilham Kadar Muhammad Taupan Muhammad Yasser Arsy Akbar Muhardi Mustafa Muliddin Nafiu, WD Rizky Awaliah Nento, Sartan Nopri Asharun Oksteming, Jenly Okto, Ali Olii, Muhammad Ramdhan Olii, Rizky Selly Nazarina Passaly, Thegar Aditya Rachman, Ranno Marlany Rahman Rahman Rasmita, Riza Restele, La Ode Rezky, Tri Binajaya Rianse, Mohammad Suriyaidulman Ririn Pakaya Riza Rasmita Rizal Adi Saputra Rizky Awaliah N, Wd. Sarfin.L, Wiil Suparwi Suparwi Tri Utomo Taliding Tri Utomo Taliding Ulfa, Abd. Hadid Rahman Wahab Wahab Wahab Wahab Wahab Wahab Yayat Iman Supriyatna Yayat Iman Supriyatna Zam Mili, Marwan Zeth Yoseptian Batupadang Zulkifli Zulkifli