Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/170160
Title: Observasi Pengaruh Curah Hujan dan Topografi terhadap Produksi Kelapa Sawit (Elaeis guineensis Jacq.) di PT. Buluh Cawang Plantation
Other Titles: Obsevation of Rainfall and Topography Effects on Oil Palm (Elaeis guineensis Jacq.) Yield at PT. Buluh Cawang Plantation
Authors: Manijo
Meliala, Merry Gloria
zahro, Zain zamadli
Issue Date: 2025
Publisher: IPB University
Abstract: ZAIN ZAMADLI ZAHRO. Observasi Pengaruh Curah Hujan dan Topografi terhadap Produksi Kelapa Sawit (Elaeis guineensis Jacq.) di PT. Buluh Cawang Plantation. Dibimbing oleh MANIJO dan MERRY GLORIA MELIALA. Perkebunan kelapa sawit merupakan salah satu subsektor pertanian strategis yang mendukung perekonomian Indonesia. Namun demikian, variabilitas produksi antar blok masih menjadi tantangan yang berkaitan erat dengan faktor agroklimat dan topografi. Penelitian ini bertujuan menganalisis pengaruh curah hujan dan topografi terhadap produksi kelapa sawit serta menyusun peta distribusi spasialnya. Data curah hujan, elevasi, dan produksi per blok dianalisis menggunakan regresi linear berganda dan overlay spasial di ArcGIS 10.8. Hasil menunjukkan curah hujan dan elevasi tidak berpengaruh signifikan terhadap produksi (p > 0,05), sementara jumlah tanaman berpengaruh sangat signifikan. Blok dengan kemiringan agak landai menghasilkan produksi tertinggi. Peta distribusi spasial mendukung analisis site-specific dalam manajemen kebun kelapa sawit. Kata kunci: Curah hujan, topografi, produksi kelapa sawit, regresi linier berganda, spasial
ZAIN ZAMADLI ZAHRO. Obsevation of Rainfall and Topography Effects on Oil Palm (Elaeis guineensis Jacq.) Yield at PT. Buluh Cawang Plantation. Supervised by MANIJO and MERRY GLORIA MELIALA. Oil palm plantations are a strategic agricultural sub-sector that supports Indonesia's economy. However, yield variability across plantation blocks remains a challenge closely related to agroclimatic and topographic factors. This study aims to analyze the influence of rainfall and topography on oil palm yield and to develop spatial distribution maps. Rainfall, elevation, and yield data per block were analyzed using multiple linear regression and spatial overlay in ArcGIS 10.8. The results show that rainfall and elevation did not significantly affect yield (p > 0.05), while the number of plants had a highly significant effect. Blocks with gently sloping terrain produced the highest yields. The spatial distribution maps support site-specific analysis for oil palm plantation management. Keywords: Multiple linear regression, oil palm yield, rainfall, spatial, topography
URI: http://repository.ipb.ac.id/handle/123456789/170160
Appears in Collections:UT - Technology and Management of Plantation Production

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