ANALYSIS OF THE INFLUENCE OF THE COST OF PRODUCTION, MARKETING AND PRICING OF THE COMMUNITY'S DECISION TO PLANT ROSES (STUDIES IN ROSES VILLAGE FARMER COMMUNITY KARANGPRING JEMBER)

Abstract

The study, entitled the analysis of the effect of the cost of production, marketing and price against the decision of the community in planting roses studies in farming communities rose village Karangpring this formulation of the problem is related whether there is influence production costs, marketing and pricing to the decision of the community in planting roses, research it aims to analyze the influence of the cost of production, marketing and pricing of the community's decision to plant roses. Sampling techniques in this study using purposive sampling technique, the number of respondents 28 people, the variable cost of production (X1), marketing (X2) and price (X3) while planting roses decision dependentnya variable (Y). Data analysis techniques used are validity, reliabilitytest, normality the datatest, multicollinearitytest, heterocedasticitytest,test, regression t test and coefficient ofdetermination (R2).The research results indicate that an item questionnaire was completed by respondents is valid which is having a valid statement Corrected Item-Total Correlation above the table r, r tables in this study is worth 0.3739 and r count value sequentially from X1, X3 X2dan is (0.922) (0.703) and (1.000).test reliability Thecanvalue cronbach`s alpha of 0.785, which means greater than 0.6 (0.785> 0.6) so that it can be concluded that the list of questions that test is reliable. The value of the ratio of skewness andratio kurtosis in this study were between -2 to +2 value so that the distribution of the data from this study is normal. VIF value of this research is worth under 10 so that this does not happenresearch, multikoliniaritasVIF value of the variable production cost (X1) of 8.567 variable values Marketing Costs (X2) is 2.112 and the value of variable Price (X3) of 8.492. Based on the output scatterplot shows that the dots spread and does not form a specific pattern that clear so that it can be concluded that there was no trouble heteroskedastisity in this study. The ttest can be judged from the table Coefficientsa significance probability value of the Cost of Production (X1), Marketing Costs (X2) and Price (X3), worth 0.000 significance that, when translated into 0.000 <0.05, which means no significant effect either on the Cost of Production (X1), Marketing Costs ( X2) and Price (X3) against the decision of the community in planting roses. The analysis results obtained coefficient of determination (R2)that the influence of the independent variable pricing, production and marketing costs on the dependent variable decision roses grow sequentially by 98.8%, 1.1% and 0.1%.