Abstract
This study aims to look at the factors that affect rice production. This research was conducted in Tanah Miring District, Merauke Regency. Site selection is done deliberately (purposive). Sampling using Purposive methods as many as 88 farmers. The data used in this study include primary data and secondary data. Data were analyzed using Multiple Linear Regression Analysis. The coefficient of determination (R2) is 0.955. This coefficient of determination shows that rice production (Y) can be explained by seed variables (X1), fertilizer (X2), pesticides (X3), and labor (X4) by 95.5% while the remaining 4.5% is influenced by factors others are not included in the equation. Significant value of F equal to 0,000, namely seed variables (X1), fertilizer (X2), pesticides (X3), and labor (X4), simultaneously have a significant effect on rice production variable (Y). Partially, seeds and pesticides affect rice production while fertilizer and labor do not affect rice production. The classic assumption test shows that there are no multicollinearity, heteroscedasticity symptoms and normally distributed regression models.
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