Premarital Sex Behavior Model with Lasso Generalized Linear Mixed Model and Group Lasso Generalized Linear Mixed Model

Khalilah Nurfadilah; Asfar; Khairil A. Notodiputro; Bagus Sartono; Azlam Nas

doi:10.29313/statistika.v23i1.1953

Authors

Khalilah Nurfadilah UIN Alauddin Makassar
Asfar Patompo University, Makassar, Indonesia
Khairil A. Notodiputro Department of Statistics and Data Science, IPB University, Indonesia
Bagus Sartono Department of Statistics and Data Science, IPB University, Indonesia
Azlam Nas Statictics Of Takalar Regency, Indonesia

DOI:

https://doi.org/10.29313/statistika.v23i1.1953

Keywords:

GLMM LASSO, GLMM Group LASSO, Premarital Sex

Abstract

ABSTRACT

Premarital sexual behavior is sexual behavior that is carried out between men and women without legal marriage. As the number of premarital sex increases, efforts need to take. One that can do is to identify the main factors contributing to reducing or increasing premarital sex behavior by a Regression model. In the context of sexual behavior, environmental influences cannot be ignored. GLMM is used to model data that is grouped into certain Groups, include environment effect that is modeled as mixed effect in GLMM. In terms of parsimony, the LASSO method can do selection variables. This research uses GLMM LASSO and GLMM Group LASSO as a model to approach the data. The best model that describes premarital sex behavior in South Sulawesi is the GLMM Group LASSO model based on the greatest AUC value. The variables that significantly influence the model are Type of Residence (X_1), Education Level (X_2), Literacy (X_3), Internet use (X_4), Knowledge of Contraceptive Methods (X_6), Health Insurance Ownership (X_7), Employment Status (X_8), Knowledge of Sexually Transmitted Diseases (X_9). By knowing the factors that influence premarital sex behavior, the government is expected to take the appropriate action for handling it.

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