Abstract:
This research aims to detect factors influence sea grass production, case at Punaga village of village builder brackish water cultivation couch Takalar. This research is carried out at Punaga village that be builder regency brackish water couch Takalar in march until may 2009. The data is gatherred to pass observation method, interview with documentation. The data analysis that used to use regression analysis linear doubled constructively program SPSS (Draper and Smith's, 1992). The research result shows sea grass production function model based on test f got part existence very real (α = 0,05) from production factors use likes salinity (X1, current speed (X2, brightness (X3, temperature (X4 and labour (X5) towards kind sea grass production Kappaphycus alvarezii at Punaga village builder regency brackish water cultivation couch Takalar, where fcount (136,226) bigger than ftable (6,260) that mean as a whole influential production factors towards sea grass production. Coefficient correlation (R) = 0,997 show connection between free variable (X1-X5) with variable Y = sea grass production positive very strong because approaches 1 (one). Determination coefficient (R2) = 0,994 show that model precision good enough is interpretted that 99,40% sea grass production change determine according to together by several uses factors production that be free variable, while the rest 0,6% is not defined by production factors in this analysis model.
