ANALISIS PREDIKSI HASIL PRODUKSI TANAMAN CABAI MENGGUNAKAN METODE MULTI LINIER REGRESI

Abstract

Chili is one of the complementary spices that is much loved because of its spicy taste which is one of the uniqueness of various types of cooking trends today. The more rapid the demand for chili plants, the more farmers who cultivate chili plants, but over time the higher the demand for chili fruit with consumer demand which allows an increase in prices the need to predict the results of the fruit to be harvested but many farmers still use experience so that there is inaccuracy in predicting the predicted results. Multi linear regression method is used to perform forecasting with the development of the dependent variable (Y), namely the amount of production with independent variables consisting of x1 = plant growth rate, x2 = moisture, x3 = temperature, x4 = volume, x5 = soil pH, x6 = stem, x7 = branch, x8 = leaf. The results of the prediction analysis in this study obtained the intercept coefficient value is 153.94 from the total data of 100 samples, resulting in the level of fit of the multi linear regression model with an R2 score of 1.00 which shows the level of accuracy in a prediction of these results is very good.