Correlation and regression models of rice bran to predict chemical composition with organoleptic tests

Abstract

The goals of this research were to find the relationship between the chemical and the organoleptic quality of rice bran in the city and district of Malang and to create a model for estimating the nutrient content of rice bran based on its organoleptic value. This study used a completely randomized design with 14 treatments and 5 replications. The treatment in this research was the rice bran sampling area while the replication was based on the respondent. Data analysis using regression analysis and correlation. The observed variables included color, texture, and odor as well as the correlation between chemical quality and organoleptic tests of rice bran. The results obtained in this research were that there is a strong relationship between chemical quality and chemical quality with a correlation coefficient of 0.028 – 0. 825 and a coefficient of determination of 0.002-0.728. The best estimation model for the relationship between protein content and texture is with the regression equationY = 1.358x + 5.144. The chemical quality of rice bran (nutrient content) of rice bran in the city and district of Malang can be estimated by its organoleptic quality. The best organolaptic and chemical quality of rice bran in Malang city and district is rice bran from Klojen district. Estimation of chemical quality in the form of nutrient content of rice bran can be done by organolaptic testing