REGRESI LOGISTIK MULTINOMIAL UNTUK MENGANALISIS FAKTOR YANG MEMPENGARUHI PEREKONOMIAN DI PULAU SULAWESI

Economic growth is the development of economic activity that causes the goods and services produced to increase. BPS data for 2017 shows Indonesia's economic growth reached 5.07%. The economic growth of Java Island was only 5.41% but contributed 58.65% to the national economic growth. While Sulawesi Island has the highest economic growth with a value of 6.49%. However, its contribution is still low at around 6.12%. The method in this study is multinomial logistic regression where this method is used to find the relationship between the response variable (Y) which is multinomial to the predictor variable (X). The results obtained in this study are multinomial logistic regression models as:
g2 (x) = -22,553 + 2,067X1 + 1,370X3
g3 (x) = -11,641 + 1,117X3
Factors that influence the economic structure of the economy forming on the island of Sulawesi secondary categories are the poverty depth index (X1) and long school expectations (X3) while the variables affecting the tertiary structure are long school expectations (X3) based on the p-value of the variable.

Keywords: Economy growth, Sulawesi Island, Multinomial logistic regression.