RESEARCH ARTICLE
Imbalanced Data Analysis of Adolescent Unintended Pregnancy and Pre-marital Sex using Univariate and Bivariate Random Forest
Ismaini Zain1, *, Agnes Tuti Rumiati1, Erma Oktania Permatasari1, Nilam Novita Sari1
Article Information
Identifiers and Pagination:
Year: 2023Volume: 16
E-location ID: e187494452301030
Publisher ID: e187494452301030
DOI: 10.2174/18749445-v16-e230111-2022-65
Article History:
Received Date: 9/6/2022Revision Received Date: 28/9/2022
Acceptance Date: 8/11/2022
Electronic publication date: 10/02/2023
Collection year: 2023

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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 them.
Methods:
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 sex, respectively.
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.