Hybrid corn is a leading commodity in Labuan District; however, farmers’ income varies due to production factors and farming conditions. The purpose of this study is to analyze the factors affecting the income of hybrid corn farming. Method: This research employed a quantitative approach using 81 hybrid corn farmer respondents selected through random sampling. Data were analyzed using multiple regression analysis through F-test, t-test, and R². The results of the regression analysis indicate that land area, production, and selling price significantly positively affect income, while production costs negatively affect it; however, irrigation availability does not have a significant effect. The regression model was simultaneously significant with an R² of 0.76, meaning that 76% of the income variation could be explained by the independent variables. The study recommends improving production cost efficiency, enhancing market access, and strengthening irrigation infrastructure.
Howara et al. (Mon,) studied this question.