Faktor-Faktor Yang Berhubungan Dengan  Kehamilan Tidak Diinginkan Di Indonesia

Anggraini, Kirana; Wratsangka, Raditya; Bantas, Krisnawati; Fikawati, Sandra

doi:10.31934/promotif.v8i1.227

Cited by 11 publications

(29 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The issue of unintended pregnancies (UP) is still a global problem that harms women because it contributes to 700,000 maternal deaths each year (18). Each year an estimated 80 million women experience the incidence of unintended pregnancies.…”

Section: Discussionmentioning

confidence: 99%

Determinant Factors for Unintended Pregnancy in Bali Province

Indrayathi

Pradnyani²,

Harjana³

et al. 2022

JBK

View full text Add to dashboard Cite

Bali Province has the lowest unmet need achievement, namely 8.1%, meaning that it has a low-value gap between the availability of contraceptive services and the needs of the community. This study analyzed the factors that influence the incidence of unintended pregnancy among childbearing-age women in Bali. This research is a secondary data analysis from the Program Performance and Accountability Survey (PPAS) of the National Population and Family Planning Board in 2019. The variables studied were selected from the PPAS’s Women data, with 1,214 samples of married fertile women aged 15-59 years in Bali. Multivariate analysis in the form of a logistic regression test is carried out to estimate factors that affect unintended pregnancy incidence in childbearing-age women in Bali. Factors influencing unintended pregnancy are age and having heard of family planning, understanding birth control, understanding population issues, and having listened to adolescent reproductive health. The multivariate analysis shown that age and having heard of family planning are two factors that significantly influence unintended pregnancy. Two factors that influence unintended pregnancy in Bali are age and having heard about family planning. Therefore, cross-sector engagement is required to provide a family planning program to the targeted fertile women's age found in this research to improve women's exposure to the program.

show abstract

Section: Discussionmentioning

confidence: 99%

Determinant Factors for Unintended Pregnancy in Bali Province

Indrayathi

Pradnyani²,

Harjana³

et al. 2022

JBK

View full text Add to dashboard Cite

show abstract

“…Faktor lain yang berkontribusi terhadap terjadinya KTD adalah kurangnya akses fasilitas pelayanan kesehatan (Ali and Ali, 2014). Menurut Anggraini et al(2018) Senthil Kumar et al (Kumar, Sathyadevi and Sivanesh, 2011) dalam penelitiannya, menyatakan bahwa algoritma decision tree merupakan salah satu metode klasifikasi yang paling efektif dalam mengelompokkan data. Terdapat beberapa jenis metode klasifikasi algoritma decision tree yang sering digunakan untuk mengelompokkan data pada penelitian sebelumnya diantaranya CART, CHAID, QUEST dan C4.5.…”

Section: Pendahuluanunclassified

“…Penyebab utamanya adalah dampak kegagalan kontrasepsi dan tidak terpenuhinya akses kontrasepsi (Anggraini et al, 2018). Temuan ini konsisten dengan penelitian yang dilakukan di Afrika.…”

Section: Gambaran Faktor Yang Berhubungan Dengan Kehamilan Tidak Diin...unclassified

Klasifikasi Faktor Yang Berpengaruh Dalam Kehamilan Tidak Diinginkan Menggunakan Metode Algoritma Decision Tree

Pratiwi

Ibad

2022

SCI TECH ED MATH

View full text Add to dashboard Cite

Unwanted pregnancy (KTD) in Indonesia has increased every year. Unwanted pregnancy is one of the factors causing miscarriage, abortion, low birth weight and premature birth. Of course, this also has an impact on increasing the risk of maternal and child mortality. This research aims toanalyze classificationfactors that influence unwanted pregnancies using the decision tree algorithm method. This research is an non reactive or unobstrusive research. The research design used was cross-sectional using secondary data from the 2019 KKBPK Performance and Accountability Survey (SKAP). The population in this study were couples of childbearing age (PUS) in Indonesia with sample 46,220 currently married women aged 15-49 years. Analysis of the data used in this study using the decision tree CART algorithm. The results of this study indicate thatpThe classification system is formed with an accuracy level of 84.5% on training data, and 84.6% on testing data. The tree construction that was formed resulted in 13 classifications of factors related to KTD with the highest classification (94%) namely PUS who had children who were still alive 2, lived in urban areas, mother's age at first marriage was 25 years, and when family planning decisions were made by themselves. yourself (mother), service provider, spouse (husband).

show abstract

“…A study conducted by Anggraini et al (2018) by using the 2012 Indonesian Demographic and Health Survey (IDHS) data found that the economic level is significantly correlated with unwanted pregnancy (P-value = 0.041). However, the study also explained that poor economic groups dominate unwanted pregnancy since most of poor economic groups use the short term contraceptive methods, such as pills and injection.…”

Section: Relationship Between Occupation and Risk Of Unwanted Pregnanmentioning

confidence: 99%

Relationship Between Contraceptive Use and Occupational Status With Unwanted Pregnacny Risk Among Couples of Childbearing Age

Rumaropen

Salim

Muhidin

2020

JBK

View full text Add to dashboard Cite

Unwanted pregnancy is a world problem. In 2008, there were 208 million pregnancies in the world, and 41% of them were unwanted pregnancy. Cross-national reproductive health studies have indicated that the unwanted pregnancy rates remain substantially high in many developing regions, including in Indonesia (Bearak et al. 2018). Unwanted pregnancies in Indonesia increased from 13.6% in 2012 to 16% in 2015. The high rates of unwanted pregnancies are often linked to the gaps in family planning services such as the effective use of contraceptive methods which is also influenced by family socioeconomic backgrounds such as their occupational status. Using the case study at health clinics of PKBI in East Java, this paper attempts to explore the association or relationship between the risk of unwanted pregnancy among couples of childbearing age (CCA) with their use of contraceptive methods and occupational status. A quantitative method of a case-control research design was applied by using a random sampling technique. The study was 50 women couples of childbearing age (15–45 years), who had unwanted and wanted pregnancies. Simple correlation analysis shows that the association are relatively significant between the occurrence of an unwanted pregnancy with the long-term contraceptive use (p-value = 0.008), and with the employed in occupational status (p-value = 0.027). However, there is no correlation between the unwanted pregnancy occurrence with the short-term contraceptives use (p-value = 0.118). The study concludes that the use of short-term contraceptive methods and the employed status can still affect the risk of unwanted pregnancies, while the effective use of long-term contraceptive method has a vital role in preventing unwanted pregnancies.

show abstract

Faktor-Faktor Yang Berhubungan Dengan Kehamilan Tidak Diinginkan Di Indonesia

Cited by 11 publications

References 5 publications

Determinant Factors for Unintended Pregnancy in Bali Province

Determinant Factors for Unintended Pregnancy in Bali Province

Klasifikasi Faktor Yang Berpengaruh Dalam Kehamilan Tidak Diinginkan Menggunakan Metode Algoritma Decision Tree

Relationship Between Contraceptive Use and Occupational Status With Unwanted Pregnacny Risk Among Couples of Childbearing Age

Contact Info

Product

Resources

About