This study aims to analyze the factors influencing rice production in Indonesia, using secondary data from the Central Statistics Agency (BPS) and the Ministry of Agriculture for the period 2018-2024, covering 30 provinces in Indonesia. The regression model used is the Random Effect Model (REM). The results show that the variables of labor and harvested area have a significant positive effect on rice production, with a very small p-value (p<0.01), indicating that increasing labor and expanding harvested area contribute directly to increasing rice production. In addition, people's business credit shows a positive effect although it is not significant at the 5% level (p=0.139). The variables of fertilizer and staple seeds show a negative effect and are close to being significant at the 10% level, while pump irrigation does not show a significant effect on rice production. This study concludes that factors such as labor and harvested area have a significant impact on increasing rice production, while other factors, such as the use of fertilizer and seeds, show a smaller effect
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