EVALUASI HASIL PRODUKSI UDANG VANAME DENGAN METODE REGRESI LINEAR BERGANDA

The farming community rarely evaluates the external factors that affect the production rate of vaname shrimp. Conventional methods still form the basis of the evaluation system. This
study aims to create a web-based application to make it easier to evaluate production results online and systematically on a smartphone and determine the effect of fertilizer, seeds, and
harvest time on production results using multiple linear regression analysis. Quantitative research method using multiple linear regression equation analysis. Research location Pinrang Regency, South Sulawesi, Indonesia. Creating applications using Javascript, Python programming languages, Visual Studio Code tools, and MySQL databases The results of making the application show that people can easily evaluate shrimp production online, systematically, and store production records. The results of the regression analysis with the coefficient of determination (r^2) are 0.942. This shows that all independent variables together or simultaneously have an
influence of 94.2% on production, while the remaining 5.8% is influenced by other variables.