Backwards Stepwise Binary Logistic Regression for Determination Population Growth Rate Factor in Java Island

The high population growth rate can impact various fields due to several factors. Some of the impacts this are poverty rates, unemployment, consumption levels, inequality in education figures, gender empowerment index, and increasingly narrow land or area. Therefore, research on using data poverty, area makes sense. This was taken from official website Central Statistics Agency for six provinces island Java, Indonesia. used contains missing so that is presumed by k-nearest neighbour method. estimated values were modelled binary logistic regression. Variables significantly affect growth, namely level consumption, area, obtained backward stepwise method selected based smallest Aikakes criterion information value one with most excellent accuracy rate.