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      Penerapan Metode NDVI dan ARVI dalam Mengukur Estimasi Produktivitas Tanaman Kelapa Sawit dengan Citra Landsat 8 di PT. Hindoli Cargill Indonesia

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      Date
      2024
      Author
      HAKIM, LUQMANUL
      Muliasari, Ade Astri
      Manijo
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      Abstract
      Teknologi pemetaan lahan menjadi salah satu bentuk pengembangan teknologi di perkebunan kelapa sawit. Teknologi pemetaan lahan merupakan salah satu bentuk pendekatan teknologi di bidang penginderaan jarak jauh yang memberikan informasi mengenai kondisi suatu lahan perkebunan. Salah satu aplikasi pemanfaatan teknologi tersebut yaitu mengenai teknologi berbasis penginderaan jauh. Teknologi satelit penginderaan jauh menggunakan teknik penginderaan jauh optik dan radar memiliki potensi untuk pemantauan kelapa sawit dan prediksi Teknologi satelit penginderaan jauh yaitu metode NDVI (Normalized Difference Vegetation Indeks) yang digunakan dalam mengevaluasi kondisi kerapatan dan kesehatan tanaman kelapa sawit. Selain itu ada Metode ARVI merupakan metode yang berfokus dalam mengidentifikasi tingkat kerapatan suatu vegetasi atmosfer. Berdasarkan penelitian menggunakan analisis regresi linier diperoleh nilai indeks vegetasi NDVI menghasilkan nilai R dan R2 sebesar 0,071 dan 0,005, sedangkan indeks vegetasi ARVI menghasilkan nilai R dan R2 sebesar 0,028 dan 0,0008. Kemudian dilakukan uji multikolinearitas diperoleh nilai VIF (Variance Inflation Factor) menghasilkan nilai 1,03 untuk NDVI dan ARVI. Berdasarkan formulasi yang diperoleh, nilai produktivitas yang diperoleh dengan menggunakan metode NDVI sebesar 2.121,95 ton ha-1dan 2.122,06 ton ha-1dengan menggunakan metode ARVI. Hal ini sebanding dengan nilai produktivitas lapangan sebenarnya yaitu sebesar 2.122,01 ton ha-1. Tingkat keakuratan data yang dihasilkan berdasarkan produktivitas yaitu 0,06 dan 0,05 untuk nilai error data.
       
      Land mapping technology is one form of technology development in oil palm plantations. Land mapping technology is a form of technological approach in the field of remote sensing that provides information about the condition of a plantation land. One application of using this technology is remote sensing-based technology. Remote sensing satellite technology using optical and radar remote sensing techniques has the potential for oil palm monitoring and prediction. Remote sensing satellite technology, namely the NDVI (Normalized Difference Vegetation Index) method, is used to evaluate the density and health conditions of oil palm plants. Apart from that, there is the ARVI method, which is a method that focuses on identifying the density level of atmospheric vegetation. Based on research using linear regression analysis, it was obtained that the NDVI vegetation index value produced R and R2 values of 0.071 and 0.005, while the ARVI vegetation index produced R and R2 values of 0.028 and 0.0008. Then a multicollinearity test was carried out to obtain a VIF (Variance Inflation Factor) value resulting in a value of 1.03 for NDVI and ARVI. Based on the formulation obtained, the productivity value obtained using the NDVI method was 2,121.95 tons ha-1 and 2,122.06 tons ha-1 using the ARVI method. This is comparable to the actual field productivity value, which is 2,122.01 tons ha-1. The level of accuracy of the data produced is based on productivity, namely 0.06 and 0.05 for the data error value.
       
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      http://repository.ipb.ac.id/handle/123456789/154516
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