This study aims to identify farmers' adaptation patterns and analyze the factors influencing their decisions to adapt to climate change. Conducted in Singkawang City, the study involved a sample of 88 farmers selected using proportional random sampling. Descriptive analysis was employed to characterize adaptation patterns, while logistic regression was used to identify the factors influencing adaptation. The results indicate that farmers have implemented various adaptation strategies, including crop diversification (intercropping), the selection of climate-resilient varieties, adjustments to planting schedules, mulching, and integrated pest and disease management. The analysis reveals that farming experience and land size positively influence farmers' adaptation decisions, whereas production levels and farmer group membership have a negative influence. Meanwhile, age, education level, and family size do not significantly affect adaptation. The study demonstrates that farmers' adaptive capacity is shaped by internal characteristics and farming conditions. Keywords: Cayenne pepper, Climate change, Farmer adaptation, Logistic regression, Singkawang
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