Analisis Interpretasi antara Kemiringan Lahan, Hujan dan Jumlah Tandan terhadap Produktivitas Tanaman Kelapa Sawit (Elaeis guineensis Jacq.) di Kebun Silau Dunia PT. Perkebunan Nusantara IV Regional I

Abstract

Palm oil is an agricultural commodity that has an important role in the Indonesian economy. Even though it has great potential, palm oil productivity in Indonesia still faces various challenges, including climate factors, land management and topographic conditions.This study aims to determine and analyze the influence of rainfall, rainy days, number of bunches, and land slope on oil palm (Elaeis guineensis Jacq.) productivity at Silau Dunia Plantation, PT. Perkebunan Nusantara IV Regional 1, from February to March 2025. This study uses secondary data available at the plantation office and directorate office administration, including TBS production data and number of bunches for the years 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, and 2024, monthly rainfall and rainy days data for the years 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023, as well as land slope data in the form of digital elevation model (DEM) data obtained from a lidar-equipped drone owned by PT Perkebunan Nusantara IV Regional 1, processed using the QGIS mapping software tool. The analysis methods used were simple linear regression analysis, multiple linear regression analysis, and correlation analysis. The model was tested for validity using classical assumption tests, including normality tests, heteroscedasticity tests, multicollinearity tests, and autocorrelation tests using SPSS v.25 for Windows statistical software. The results of this study indicate that rainfall and rainy days have no significant effect on oil palm productivity in the Silau Dunia plantation. The number of bunches has a significant effect on increasing oil palm productivity at the Silau Dunia plantation. Rainfall, rainy days, and the number of bunches simultaneously have a significant effect on oil palm productivity at the Silau Dunia plantation. The correlation between rainfall, rainy days, and the number of bunches has a strong, moderate, and strong influence on oil palm productivity at the Silau Dunia plantation. The correlation between land slope has a strong influence on oil palm productivity at the Silau Dunia plantation. These results indicate that the number of bunches is the primary factor determining productivity, while rainfall and rainy days act as supporting variables within a specific topographic context.