| dc.description.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. | en_US |
