The analysis of the data used in the form of multiple linear regression analysis.

This type of research using the method of causal research is research that is the nature of the causal relationship.In this study the number of samples taken as many as 53 people respondents.The source of the data in this study using questionnaire (question form) and the study of librarianship. And the most dominant variable influencing farmer's income is price fluctuation from SPSS result shows between variable X1 (climate) and variable X2 (price fluctuation) obtained In variable X1, pearson correlation 0,381 2,055) with significance level less than 0,05 0.008 and t variable X2 (price fluctuation) bigger than t table (8.561> 2.055) with significance level below 0.05 ie 0.002. The results showed that climate and fluctuation influence simultaneously to farmer's earnings that is X1 (Climate) and X2 (Price fluctuation) obtained F value count bigger than F table value (4,391> 3,35). The purpose of this paper is the influence of climate and price fluctuations simultaneously affect the farmer's income, climate influence and price fluctuations affect partially on the market, the variables that predominantly affect the income level of farmers. Many people are involved in the vegetable trade business, the majority of farmers in Pacet plunge in planting shallot and garlic, Along with the number of traders, the majority of demand more and more, and when the harvest price is very low and make the farmers lose, and when the season Rain arrives, farmers in the Pacet region many do not plant, so the scarcity of shallot and garlic price is rising. Climate, Price fluctuation, Income Abstract

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