Erosion Prediction using Universal Soil Loss Equation (USLE) in Posigadan District, South Bolaang Mongondow Regency

https://doi.org/10.52045/jca.v5i1.864

Authors

  • Vhito Universitas Negeri Gorontalo
  • Yunnita Universitas Negeri Gorontalo
  • Rival Rahman Universitas Negeri Gorontalo

Keywords:

Erosion prediction; USLE; GIS

Abstract

Soil erosion refers to removing topsoil caused by the action of water or wind, with its intensity influenced by natural factors specific to the location. This study aims to predict soil erosion, determine tolerable erosion levels, and provide recommendations for land use based on erosion predictions in the Posigadan District, South Bolaang Mongondow Regency, North Sulawesi Province. Conducted between February and April 2024, the research employed the Universal Soil Loss Equation (USLE) method integrated with Geographic Information System (GIS) technology. The USLE method's accuracy depends on factors such as rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), vegetation cover (C), and conservation practices (P). Meanwhile, GIS proved effective in assessing erosion risks across large areas. The findings revealed that predicted erosion values ranged from 35.59 to 605.06 tonnes/ha/year, categorized from low to very high. Tolerable erosion values ranged from 2.88 to 11.00 tonnes/ha/year. Without conservation measures, areas with low actual erosion were recommended for cultivating crop such as corn and peanuts. In contrast, areas with very high erosion were better suited for plantation commodity like cloves, candlenuts, and cocoa. The study concluded that erosion predictions fell into low, medium, high, and very high categories. Based on these results, land use recommendations included food and horticultural crops for areas with low erosion and plantation crops for areas with very high erosion.

Downloads

Download data is not yet available.

Author Biographies

Vhito, Universitas Negeri Gorontalo

Agrotechnology

Yunnita, Universitas Negeri Gorontalo

Agrotechnology

References

Arsyad, S. 2010. Konservasi tanah dan Air. Edisi kedua. Institute Pertanian Bogor, Bogor.

As-syakur, A. R. 2008. Prediksi Erosi Dengan Menggunakan Metode USLE dan Sistem Informasi Geografis (SIG) Berbasis Piksel di Daerah Tangkapan Air Danau Buyan. Pit Mapin Xvii, 1976: 1–11.

Bols PL. 1978. The Iso-eredent Map of Java and Madura. Report of the Belgian Technical Assistance Project ATA 105-Soil Research Institute, Bogor, Indonesia

BPS. 2021. Kecamatan Posigadan Dalam Angka 2021. Badan Pusat Statistik Kabupaten Bolaang Mengondow Selatan

Dabral, P. P., Baithuri, N., & Pandey, A. 2008. Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS, and remote sensing. Water Resources Management, 22(12): 1783–1798. https://doi.org/10.1007/s11269-008-9253-9

Fasya, K., Setiawan, B., & Yulianur, A. 2023. Penentuan laju erosi dan sedimentasi untuk estimasi umur Embung Lambadeuk, Aceh Besar. Acta Geoscience, Energy, and Mining, 02(01): 1–6. https://doi.org/10.24815/actaGEM.v2i1.30754

Hariyanto, R. D., Harsono, T. N., & Fadiarman, F. 2019. Prediksi Laju Erosi Menggunakan Metode USLE (Universal Soil Loss Equation) Di Desa Karang Tengah Kecamatan Babakan Madang Kabupaten Bogor. Jurnal Geografi, Edukasi dan Lingkungan, 3(2): 92. https://doi.org/10.29405/jgel.v3i2.3580

Hammer, W. I. 1981. Soil conservation consultant report Center for Soil Research. LPT Bogor. Indonesia.

Lamato, Y., Nurmi, & Azis, A. 2019. Prediksi Erosi dan Penetapan Nilai Erosi yang Dapat Ditoleransi pada Pertanaman Jagung di Desa Huluduatomo Kecamatan Suwawa Kabupaten Bone Bolango. Jurnal Agroteknotropika, 27(2): 635–637.

Prayitno, Tasirin, J. S., Sumakud, M., & Rombang, J.A. 2015. Pemanfaatan Sistem Informasi Geografis (SIG) Dalam Pengklasifikasian Bahaya Erosi Pada DAS Talawaan. Cocos, 6(11):1-8. https://doi.org/10.35791/cocos.v6i11.8455

Purba, E. C., Suryani, L., Musthofa, A. N. H., & Syafe’i, H. 2020. Analisis Tingkat Bahaya Erosi Area Hulu dan Hilir Menggunakan Metode USLE Daerah Aliran Sungai (DAS) Garang, Kota Semarang, Jawa Tengah. Jurnal Geosains dan Teknologi, 3(2):73–82. https://doi.org/10.14710/jgt.3.2.2020.73-82

Rahman, R., Baskoro, D. P. T., & Tjahjono, B. 2015. Prospek Pengembangan Komoditas Perkebunan Di Wilayah Boliyohuto Kabupaten Gorontalo. Tataloka, 17(4): 209–222. https://doi.org/10.14710/tataloka.17.4.209-222

Sadewo, W., Subagiada, K., & Djayus, D. 2023. Analisis Klasifikasi Laju Erosi Menggunakan Metode Universal Soil Loss Equation (USLE) Dengan SIG Di Kota Samarinda. Geosains Kutai Basin, 6(1): 53. https://doi.org/10.30872/geofisunmul.v6i1.1011

Siregar, M. M., Sabrina, T., & Hanum, H. 2017. Prediksi Tingkat Bahaya Erosi Dengan Metode USLE Di Perkebunan Kelapa Sawit di Desa Balian Kecamatan Mesuji Raya Kabupaten Ogan Komering Ilir Palembang. Jurnal Agroekoteknologi, 5(3): 607–615. https://doi.org/10.32734/ja.v5i3.2224

Soplanit, R., Putinella, J., & Siwalette, E. S. 2018. Prediksi Erosi dan Arahan Penggunaan Lahan di Bagian Hulu Das Wai Illa Desa Amahusu Kecamatan Nusaniwe Kota Ambon. Agrologia, 5(1): 22-29. https://doi.org/10.30598/a.v5i1.194

Taslim, R. K., Mandala, M., & Indarto, I. 2019. Prediksi Erosi di Wilayah Jawa Timur. Jurnal Ilmu Lingkungan, 17(2): 323. https://doi.org/10.14710/jil.17.2.323-332

Urbanus, A., Sela, R. L. E., & Tungka, A. E. 2021. Mitigasi Bencana Banjir Struktural dan Non Struktural Di Kabupaten Bolaang Mongondow Selatan. Jurnal Spasial, 8(3): 447–458. https://doi.org/10.35793/sp.v8i3.36350

Wahyunto, H., Suryani, E., Tafakresnanto, C., Ritung, S., Mulyani, A., Sukarman, K. N., Sulaeman, Y., Apriyana, Y., Suciantini, A. P., & Suparto, R. E. 2016. Petunjuk teknis pedoman penilaian kesesuaian lahan untuk komoditas pertanian strategis tingkat semi detail skala 1: 50.000. Balai Besar Penelitian Dan Pengembangan Sumberdaya Lahan Pertanian, Badan Penelitian Dan Pengembangan Pertanian, Bogor, 37.

Widodo, A., & Suyana, J. S. 2015. Metode USLE untuk Memprediksi Erosi Tanah dan Nilai Toleransi Erosi Sebuah Sistem Agricultural di Desa Genengan Kecamatan Jumantono Karanganyar. Agrosains, 17(2): 39–43. https://doi.org/10.20961/agsjpa.v17i2.18668

Wischmeier, W. H., & Smith, D. D. 1978. Predicting rainfall erosion losses: a guide to conservation planning. Department of Agriculture, Science and Education Administration. (Agricultural Handbook, 537)

Downloads

Published

2025-06-12

How to Cite

R. Radjak, V., Rahim, Y., & Rahman, R. (2025). Erosion Prediction using Universal Soil Loss Equation (USLE) in Posigadan District, South Bolaang Mongondow Regency. CELEBES Agricultural, 5(1), 42–51. https://doi.org/10.52045/jca.v5i1.864