Pengaruh Kemiringan Lahan Terhadap Produksi Kopi Arabika Menggunakan Digital Elevation Model (DEM) di Java Coffee Estate

Abstract

ABDAN SYAKUR BAYAN MADANI. Pengaruh Kemiringan Lahan Terhadap Produksi Kopi Arabika Menggunakan Digital Elevation Model (DEM) di Java Coffee Estate. Dibimbing oleh MANIJO dan MERRY GLORIA MELIALA. Produksi kopi dipengaruhi oleh berbagai faktor lingkungan, salah satunya kemiringan lahan sebagai elemen penting topografi. Penelitian ini bertujuan menganalisis pengaruh kemiringan lahan terhadap produksi kopi arabika di Afdeling Kampung Baru dengan pendekatan spasial dan regresi linier berganda. Data kemiringan diperoleh dari pemrosesan Digital Elevation Model (DEM), serta variabel lainnya mencakup elevasi, curah hujan, jumlah tanaman, umur tanaman, dan jenis tanah. Hasil analisis menunjukkan model regresi: Y = 2041 - 32,62X1 - 0,553X2 - 0,969X3 + 0,422X4 + 3,957X5 + 4,06X6, dengan R = 97,98% dan R² = 97,76%, menandakan hubungan yang sangat kuat antara variabel bebas dan produksi. Temuan ini mengonfirmasi bahwa kemiringan lahan berpengaruh signifikan terhadap produksi dan bahwa pemetaan topografi berbasis DEM mendukung pengelolaan lahan yang berkelanjutan.

ABDAN SYAKUR BAYAN MADANI. The Effect of Land Slope on Arabica Coffee Production Using Digital Elevation Model (DEM) at Java Coffee Estate. Supervised by MANIJO and MERRY GLORIA MELIALA. Coffee production was influenced by various environmental factors, one of which was land slope as a key element of topography. This study aimed to analyze the effect of land slope on Arabica coffee production in the Kampung Baru Estate using a spatial approach and multiple linear regression analysis. Slope data were obtained from the processing of a Digital Elevation Model (DEM), while other variables included elevation, rainfall, number of trees, plant age, and soil type. The results of the analysis showed the regression model: Y = 2041 - 32.62X1 - 0.553X2 - 0.969X3 + 0.422X4 + 3.957X5 + 4.06X6, with R = 97.98% and R² = 97.76%, indicating a very strong relationship between the independent variables and coffee production. These findings confirmed that land slope had a significant effect on production, and that topographic mapping using DEM supported sustainable land management.