Factors affecting the grade point average students of FMIPA Universitas Negeri Padang with binary logistic regression model

Today, everyone places a high importance on their education. Learning is how education implemented, and learning allows people to reach full potential. Since process achievement the end consequence of process, are inextricably linked. levels assessed using GPA (Grade Point Average). Allowance, gender, major, status residence, school location, study time, admission type, duration gadget use, personality type all factors that affect GPA. In order identify components influence academic accomplishment, model must be developed since it can understood, explained, controlled, forecasted. This study's goal binary logistic regression model, which describes variables influencing faculty mathematics natural sciences at Universitas Negeri Padang's The aim this represents Faculty Mathematics Natural Sciences Padang. Secondary primary data were employed in study, questionnaires used collect data. 2020 students made up sample, included 293 respondents. According findings, such as gadgets use may have an impact students' GPAs percentage correct predictions between training 70%.