| Sains Malaysiana 47(10)(2018): 
              2241–2249  http://dx.doi.org/10.17576/jsm-2018-4710-01 
                 Potensi Hakisan Tanih 
              di Lembangan Sungai Bilut, 
              Raub, Pahang menggunakan Integresi RUSLE dan 
              GIS (Soil Erosion Potential at Sungai Bilut 
              Catchment, Raub, Pahang using Integration 
              of RUSLE and GIS)   TUKIMAT 
              LIHAN*, 
              NUR 
              FATIN 
              KHODRI, 
              MUZZNEENA 
              AHMAD 
              MUSTAPHA, 
              ZULFAHMI 
              ALI 
              RAHMAN 
              & WAN MOHD RAZI 
              IDRIS   Pusat Pengajian 
              Sains Sekitaran 
              dan Sumber Alam, 
              Fakulti Sains 
              dan Teknologi, Universiti Kebangsaan Malaysia, 
              46300 UKM Bangi, Selangor Darul 
              Ehsan, Malaysia   Diserahkan: 31 Mac 2018/Diterima: 8 Jun 2018   ABSTRAK Aktiviti guna tanah di 
              kawasan lembangan 
              adalah salah satu 
              faktor yang mendorong 
              kepada kemerosotan kualiti air sungai akibat daripada hakisan tanih. Potensi hakisan 
              tanih di kawasan 
              lembangan Sungai Bilut, Raub, Pahang yang menjadi sumber bekalan air minuman utama di daerah Raub boleh 
              ditentukan dengan 
              menggunakan integrasi model Semakan Semula Persamaan Kehilangan Tanih Universal (RUSLE) dan 
              Sistem Maklumat 
              Geografi (GIS). Kajian 
              ini bertujuan 
              untuk menentukan potensi hakisan tanih dan faktor 
              utama yang mempengaruhi 
              kadar hakisan 
              tanih. Kajian ini melibatkan 
              penggunaan data sekunder 
              yang terdiri daripada 
              data hujan, data siri tanih dan topografi 
              bagi menghasilkan 
              faktor kehakisan hujan (R), kebolehhakisan tanih (K), serta panjang dan kecuraman 
              cerun (LS). Faktor litupan 
              tumbuhan (C) dan 
              amalan pemuliharaan (P) pula dijana daripada imej satelit Landsat 8 (2014). 
              Keputusan kajian 
              menunjukkan nilai faktor R di kawasan kajian ialah 8927.68-9775.18 MJ 
              mm ha-1 jam-1 tahun-1, 
              nilai K ialah 0.036-0.500 tan jam-1 
              MJ-1 
              mm-1, 
              nilai LS ialah 
              0-514, nilai C ialah 
              0.03-0.80 dan nilai 
              P ialah 0.1-0.7. Kawasan yang mempunyai potensi 
              hakisan sangat 
              rendah hingga rendah 
              meliputi 81%, manakala 
              potensi hakisan tanih sederhana hingga sangat tinggi 
              meliputi 19% daripada 
              keseluruhan kawasan kajian. Model yang dihasilkan mempunyai ketepatan sebanyak 81%. Faktor utama yang mempengaruhi berlakunya hakisan tanih di kawasan kajian adalah faktor 
              topografi, litupan 
              tumbuhan dan kebolehhakisan tanih. 
              Keputusan menunjukkan analisis 
              integrasi RUSLE dan 
              GIS 
              berpotensi dalam 
              penentuan potensi 
              hakisan tanih untuk 
              kawasan luas 
              yang mempunyai pelbagai jenis guna tanah, 
              topografi dan 
              jenis tanih.   Kata kunci: GIS; hakisan 
              tanih; RUSLE   ABSTRACT Land use activities 
              within catchment area are one of the factors contributing to deterioration 
              of river water quality due to soil erosion. Potential soil erosion 
              at the Sungai Bilut catchment, which is the main source of water supply 
              in Raub district, can be determined using 
              Revised Universal Soil Loss Equation (RUSLE) and Geographical Information 
              System (GIS). The aims of this research were 
              to determine the potential soil loss and also to determine the main 
              factors that influence the rate of soil erosion. This study involved 
              analysis of secondary data of rainfall, soil series and topography 
              data to generate factors of rainfall erosivity 
              (R), soil erodibility (K) and length and steepness of slope (LS). Vegetation coverage and conservation 
              practices factors were generated from satellite image of Landsat 
              8 (2014). The results showed that the R factor value in the study 
              area is 8927.68-9775.18 MJ mm ha-1 h-1 yr-1, 
              K value is 0.0036-0.500 tones h-1 MJ-1 mm-1, 
              LS 
              value is 0-514, C value is 0.03-0.80 and P value is 
              0.1-0.7. The area that has very low to low erosion potential is 
              81%, while medium to very high erosion potential is 19% of total 
              study area. The model has an accuracy of 81%. The main factors that 
              contribute to the potential of soil erosion in the study area are 
              topography, vegetation cover, and soil erodibility. The results 
              indicated the potential of integration of RUSLE and 
              GIS 
              analysis in determination of potential soil erosion 
              in wide area consisting of various land use, topography and soil 
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