Panel data regression modeling of net enrollment rate at senior high school/equal levels in NTT Province 2015-2019

The Net Enrollment Rate (NER) is one useful indicator to see the level of success achieved by the government in efforts to improve the quality of education. The NER for SHS (Senior High School)/equivalent in Indonesia in 2015-2019 is the lowest, which is still around 60%, when compared to the NER for Elementary School/equivalent which is around 97% and the NER for JHS (Junior High School)/equivalent which is around 78%, this shows that the higher the level of education, low population participation in continuing education. NTT Province is one of the provinces where the achievement of the NER for SHS/equivalent during the 2015-2019 period is always below the NER for the national SHS/equivalent level and is always in the lowest third and fourth positions. Thus, the researcher wants to know what factors cause the low achievement of the NER for SHS/equivalent in NTT Province for the 2015-2019 period by using the panel data regression method. The use of this method is useful to determine the effect of the independent variable on the dependent variable whose model is a combination of cross section data and time series data. In this study, the best estimation model for analyzing the NER for SHS/equivalent in NTT Province is the Fixed Effect Model (FEM) individual time with variables that have a significant effect, namely the ratio of students to high school/equivalent levels and population density and the resulting goodness of the model (R2) by 87,61%.