THE POTENCY OF DAIRY CATTLE AGRIBUSINESS DEVELOPMENT IN SEMARANG REGENCY, CENTRAL JAVA

Abstract

The study aimed to analyze the potency of dairy cattle agribusiness development in Semarang Regency and the factors influencing the potency of dairy cattle agribusiness development. The study was conducted from September to December 2008 in Semarang Regency, Central Java, using survey method. Three districts were purposively chosen based on the largest population of dairy cattle in the Semarang Regency. Of the three districts selected, six villages were chosen based on the largest population of dairy cattle. The respondents were chosen randomly using simple random, hence the sample size in this study was 90. Data were gathered through primary and secondary data. The data were analyzed descriptively and statistically. The analysis of LQ (Location Quotient) was used to analyze the potency of dairy cattle agribusiness development, while the multiple regression model was used to determine the factors affecting the potency of dairy cattle agribusiness development, with the following regression equation: Y = a + b1x1 + b2x2 + b3x3 + b4x4 + b5x5 b7x7 b6x6 + + + e, whereas Y = is the production of milk, and x1 to X7, respectively, are x1 (age), x2 (education), x3 (Number of family members), x4 (number of lactating cows), x5 ( amount of feed, forage), x6 (amount of feed concentrate) and X7 (calving interval). The results showed that the potency of dairy cattle agribusiness development in Semarang Regency is potential (LQ> 1) with the value of 4.67 and LQ Population GDP = 1.71. This study indicated that socio, economic and demographic resources are important factors that can help develop and improve dairy cattle farming. Meanwhile, there were significant relationships between 7 independent factors and the potency of dairy cattle agribusiness development, with the following regression equation: Y = -6.082 + 0.032 x1 + 0.223 x2 + 0.717 x3 + 9.221 x4 + 0.067 x5 x6 + 0.486 - 0.323 X7 + e. Moreover, the value of R2 = 0.886, it is indicated that 88.6% of the variation in the the dependent variable can be explained by the independent variable, only 11.40% can be explained by other variables.