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Imbalanced Data Analysis of Adolescent Unintended Pregnancy and Pre-marital Sex using Univariate and Bivariate Random Forest

  • Department of Statistics
  • Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Background: Unintended pregnancy and pre-marital sex are common in adolescents due to the lack of understanding about Adolescent Sexual and Reproductive Health (ASRH), family planning, and/or birth control. Aims: The purpose of this study was to classify unintended pregnancy and pre-marital sex among adolescents in East Java to find the factors behind themMethods: The data used in this research included women of childbearing age based on SKAP by BKKBN in 2019. This study employed SMOTE-NC as a method for handling imbalanced data and random forest as a classification method. Results: The result of this study showed that the most influential variable was education and domicile for unintended pregnancy and pre-marital sexrespectively. Conclusion: The most influential variable in the classification of unintended pregnancy and pre-marital sex was age was education and domicile for unintended pregnancy and pre-marital sex.

Original languageEnglish
Article numbere187494452301030
JournalOpen Public Health Journal
Volume16
Issue number1
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Classification
  • Education
  • Imbalanced data
  • Pre-marital sex
  • Random forest
  • Unintended pregnancy

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