Authors:
Ismaini Zain, Iswari Hariastuti, Mario Ekoriano, Indra Murty Surbakti, Erma Oktania Permatasari,
Adatul Mukarohmah and Nilam Novita Sari |
Abstract:
Unintended pregnancy is a condition where pregnancy occurs without the desire of want to have
children. The high number of unintended pregnancies shows the need to research to find out the factors
attributed to unintended pregnancy. Unintended pregnancy data used as a response variable includes
imbalance binary data, which requires the use of logistics regression analysis. The imbalance of
unintended pregnancy data causes a misclassification where a minority class sample can be classified
as a majority class. One of the methods to overcome this imbalance is resampling. This research uses
the Synthetic Minority Over-sampling Technique-Nominal (SMOTE-N) to overcome the imbalance.
This technique synthesizes a new sample to balance the dataset by resampling the minority class
sample. The data used in the research is the 2019 East Java data of the Accountability and Performance
Survey. The sample is 8327 women of reproductive age. The variables which are expected to affect
unintended pregnancy are age, education, occupation, residence, marital status, number of living
children, and contraceptive knowledge. The best model obtained from the performance through
accuracy, sensitivity, specificity, and G-mean. The results show the average accuracy between the
model without imbalance treatment shows 89.7 % accuracy compared to only 65.3 % accuracy of the
logistics regression model using SMOTE-N. However, the sensitivity of the model without imbalance
treatment is lower than that using SMOTE-N. Moreover, the specificity and the G-mean show a not
available value (N.A.), which indicates there is an imbalance that cannot classify data of the minority
class sample. The results of the regression based on the Odds Ratio (OR) show that women aged 25-
34, aged 35, have higher education, working, married, living in rural areas, have more than two
children, and have good contraception knowledge are at high risk of having an unintended pregnancy. |
