ANALISIS SPASIAL SEBARAN LAHAN KRITIS DI KPHP UNIT XII BATANGHARI PROVINSI JAMBI

Eva Achmad, Agus Kurniawan MAstur, Yunita Lestari

Abstract


Critical land occured as a result of land cover changes from vegetated into non vegetated land or the composition of the vegetation has changed. This study aimed to analyze the distribution of land critical at KPHP Unit XII Batanghari. Critical land analysis was based on the Perdirjen PDASHL Number P.3/PDASHL/SET/KUM.1/7/2018. Land is classified into 5 levels of criticality, namely: non-critical, critical potential, somewhat critical, critical and very critical. The parameters used in determining the level of criticality of the land are: land cover, erosion-prone class, slope class and the presence of land inside or outside the forest function. Spatial analysis used by Geographic Information System (GIS) and remote sensing technology. GIS is able to analyze and represent geographic phenomenon. Landsat 8 imagery was analyzed to obtain land cover clasification. The results of the analysis showed that critical land level of KPHP Unit XI Batanghari consisted of 3,609 ha (4.45%) that classified as very critical and 3,599 ha (4,43%) as critical land. Then, land with a somewhat critical level had the largest area, namely 26,024 ha or 32.07% of the total area of KPHP Unit XII Batanghari. The landcover was the main parameter to determine the level of criticality of the land. The openland cover type had the maximum score 60.

Keywords


critical land; landcover; GIS

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References


Achmad, E., Hamzah, Albayudi. 2020. Analisis Perubahan Tutupan Lahan Pada Zonasi Pengelolaan Taman Nasional Bukit Tiga Puluh Menggunakan Citra Landsat. Jurnal Hutan Tropis, 8(2), 172-184. DOI: http://dx.doi.org/10.20527/jht.v8i2.9047

Anasiru, R.H. 2016. Analisis spasial dalam klasifikasi lahan kritis di kawasan Sub-DAS Langge Gorontalo. Informatika Pertanian, 25(2), 261-272.

Auliana, Ridwan, I. & Nurlina. 2017. Analisis tingkat kekritisan lahan di DAS Tabunio Kabupaten Tanah Laut. Positron, 7(2), 54-59. http://dx.doi.org/10.26418/positron.v7i2.18671.

Kebede, Y.S., Endalamaw, N.T., Sinshaw, B.G. & Atinkut, H.B. 2021. Modeling soil erosion using RUSLE and GIS at watershed level in the upper beles, Ethiopia. Environmental Challenges, 2(2021). https://doi.org/10.1016/j.envc.2020.100009

Keputusan Menteri Lingkungan Hidup dan Kehutanan Nomor : SK.306/MENLHK/DAS.0/7/2018 Tentang Penetapan Lahan Kritis Nasional.

Kementerian Lingkungan Hidup dan Kehutanan. 2019. Deforestasi Indonesia Tahun 2017-2018. Direktorat Inventarisasi dan Pemanfaatan Sumber Daya Hutan. Direktorat Jenderal Planologi Kehutanan dan Tata Lingkungan. Kementerian Lingkungan Hidup dan Kehutanan. Jakarta.

Kementerian Lingkungan Hidup dan Kehutanan. 2018. Peraturan Direktur Jenderal Pengendalian Daerah Aliran Sungai dan Hutan Lindung Nomor P.3/Pdashl/Set/Kum.1/7/2018.

KPHP Unit XII Batang Hari. 2016. Dokumen Tata Hutan 2016, RPHJP KPHP Unit XII Batang Hari.

Kusumandari, A. & Nugroho, P. 2015. Land capability analysis based on hydrology and soil characteristics for watershed rehabilitation. Procedia Environmental Sciences, 28(2015), 142-147. doi: 10.1016/j.proenv.2015.07.020.

Majid, M. & Mir, B.A. Landfill site selection using GIS based multi criteria evaluation technique. A case study of Srinagar city, India. Environmental Challenges, 3(2021). https://doi.org/10.1016/j.envc.2021.100031.

Makalalag, M.F.M., Takumansang, E.D & Tarore, R.C. 2020. Analisis spasial sebaran lahan kritis di Kawasan Danau Mooat Kabupaten Bolaang Mongondow Timur. Perencanaan Wilayah dan Kota, 7(3), 313-324.

Mulyadi, A. & Jupri. 2016. Kajian lahan kritis Sub Daerah Aliran Ci Keruh di Kawasan Cekungan Bandung. Prosiding Seminar Nasional Geografi UMS 2016, Upaya Pengurangan Risiko Bencana Terkait Perubahan Iklim.

Nasihin, I., Prasetyo, L.B., Kartono, A.P. & Kosmaryandi, N. 2016. Land cover change in Kuningan District during 1994 – 2015. Procedia Environmental Sciences ,33(2016), 428 -435. doi: 10.1016/j.proenv.2016.03.093.

Nugroho, S.P. & Prayogo, T. 2008. Penerapan SIG untuk penyusunan dan analisis lahan kritis pada satuan wilayah Pengelolaan DAS Agam Kuantan, Provinsi Sumatera Barat. Teknik Lingkungan, 9(2), 130-140.

Pijl, A., Quarella, E., Vogel, T.A., D’Agostino, V. & Tarolli, P. 2021. Remote sensing vs. field-based monitoring of agricultural terrace degradation. International Soil and Water Conservation Research, 9(2021), 1-10. https://doi.org/10.1016/j.iswcr.2020.09.001.

Prabandaru, L.H., Nugraha, A.L. & Sumkmono, A. 2016. Pemetaan tingkat lahan kritis Kabupaten Wonosobo dengan penginderaan jauh dan Sistem Informasi Geografis. Geodesi Undip, 5(4), 65-72.

Ramayanti, L.A., Yuwono, B.D. & Awaluddin, M. 2015. Pemetaan tingkat lahan kritis dengan menggunakan penginderaan jauh dan Sistem Informasi Geografi (Studi Kasus : Kabupaten Blora). Geodesi Undip, 4(2), 200-207.

Rosyada, M., Prasetyo, Y. & Hani’ah. 2015. Penentuan tingkat lahan kritis menggunakan metode pembobotan dan algoritma NDVI (Studi Kasus: Sub DAS Garang Hulu). Geodesi Undip, 4(1), 85-94.

Ruhama, A., Numba, S. & Saida. 2020. Analisis lahan kritis dan arahan penggunaan lahan pada Sub Daerah Aliran Sungai Binanga Lantang di Sulawesi Selatan. Agrotek, 4(1), 37-52.

Suriani, Mey, D. & Saleh, F. 2019. Pemetaan lahan kritis dengan metode Multi Criteria Evaluation di Sub DAS Amohalo. Geografi Aplikasi dan Teknologi, 3(1), 7-16.

Sunartomo, A.F. 2011. Inventarisasi dan sebaran lahan kritis di Kabupaten Situbondo. J-SEP, 5(1), 12-22.

Suntoro, M.A., Astiani, D. & Ekyastuti, W. 2019. Analisis lahan kritis dan arahan lahan dalam pengembangan wilayah pada SubDAS di Kabupaten Kayong Utara menggunakan teknik penginderaan jauh dan Sistem Informasi Geografis. Tengkawang, 9(1), 14-26.

Tavana, M., Liu, W., Elmore, P., Petry, P.E. & Bourgeois, B.S. 2016. A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems. Measurement ,81(2016), 123–162. http://dx.doi.org/10.1016/j.measurement.2015.12.007.




DOI: https://doi.org/10.29303/jbl.v4i2.820

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