| dc.description.abstract | This study aims to determine and analyze the effect of rainfall, rainy
days, number of bunches, and land slope on the productivity of oil palm
(Elaeis Guineensis Jacq.) in the Pabatu plantation of PT. Perkebunan Nusantara IV
Regional II from August to October 2025. The hypothesis of this study is that there
is a significant effect of rainfall, rainy days, number of bunches, and land slope on
the productivity of oil palm (Elaeis Guineensis Jacq.) in the Pabatu plantation of
PT. Perkebunan Nusantara IV Regional II. This study uses secondary data
available at the plantation office administration, including data on fresh fruit bunch
(FFB) production and number of bunches from 2015 to 2024, monthly rainfall and
rainy days data from 2014 to 2023, and land slope data. The analysis methods used
are multiple linear regression and correlation analysis. The feasibility test model
with classical assumption tests included normality tests, heteroscedasticity tests,
multicollinearity tests, and autocorrelation tests using SPSS v.25 for Windows
statistical tools. The data were tested and analyzed based on land slope, namely flat
land, moderate slope land, and steep slope land. The results of this study indicate
that rainfall and rainy days have no significant effect on oil palm productivity in
flat, moderately sloping, and sloping land in the Pabatu plantation. The number of
bunches has a significant effect on increasing oil palm productivity in flat,
moderately sloping, and sloping land in the Pabatu plantation. Rainfall, rainy days,
and number of bunches simultaneously have a significant effect on oil palm
productivity on flat land, moderately sloping land, and steeply sloping land in the
Pabatu plantation. The correlation between rainfall, rainy days, and number of
bunches varies from moderately weak to strong on productivity on flat land,
moderately sloping land, and steeply sloping land in the Pabatu plantation. | en_US |
