ANALISIS REGRESI LOGISTIK DALAM PENENTUAN MODEL BERAT BADAN BAYI LAHIR

Infant weight at Birth (BBBL) is one standard of The Healthy Program with expectation is<br />the Normal In-fant Weight at Birth (³ 2,5 kg). The factors which influence to BBBL are weight,<br />height, parities, ages, hae-moglobin pencentage, blood pressure and education of mother’s.<br />This study want to know which factors have major probability and how are the form of the factors<br />to the BBBL.<br />Data used in this research are mother’s data whom give delivery in Govermant Hospital,<br />delivery clinic or delivery nurse’s.<br />Mother’s characteristic shown in data descriptive analysis. Single logistic regression detect<br />each potential variable to construct the multiple logistic regression model. The variables used for<br />construct the multiple logis-tic regression model have significant contribution to the BBBL, the<br />best model is : P =<br />+ + + + -<br />Model above showed mother’s education and mother’s activities influences to the BBBL.<br />Odds ratio values for every factors which influenced to the BBBL ³ 2,5 kg compared with<br />BBBL &lt; 2,5 kg find for mother’s education (junior high school, senior high school and the degree<br />of university) with proba-bility 2,6414, 22,2936 and 50,5504 times higher than mother’s<br />education for elementary school background