FAKTOR-FAKTOR YANG MEMENGARUHI UNMET NEED KB DI PROVINSI BENGKULU TAHUN 2015 DENGAN PEMODELAN REGRESI LOGISTIK BINER

Authors

  • Abyan Rai Politeknik Statistika STIS, Indonesia
  • Reza Rizky Ramadhan Politeknik Statistika STIS, Indonesia

DOI:

https://doi.org/10.29244/ijsa.v2i1.57

Keywords:

unmet need KB, binary logistic, family planning, contraception, susenas

Abstract

Indonesia failed to reach the target to reduce the percentage of unmet need KB in 2015.  Province of Bengkulu which has almost 20% of family planning services from government, has a high unmet need percentage. The purpose of this research is to determine the factors that affect status of unmet need KB of women aged 15-49 years in Bengkulu 2015. Data in this study obtained from Susenas 2015. The result showed that 21,34% of women aged 15-49 years in Bengkulu in 2015 was unmet need KB and 78,65% was not unmet need KB. Using binary logistic regression, the result showed that the age of women, number of surviving children, education of women aged 15-49 years, and type of residence have a significant effect on status of unmet need KB. Socialization of family planning program on Bengkulu is needed to reduce the percentage of unmet need KB of women aged 15-49 years on Bengkulu. Further research is suggested to use other independent variables and see spatial correlation in Province of Bengkulu.

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References

Agresti, A. (2002). Categorical Data Analysis (2nd ed). New Jersey: John Wiley & Sons, Inc.
Azen, R & Walker, C.M., (2011). Categorical data analisys for the behavioral and social science. New York: Taylor & Francis Group.
BKKBN (2016). Laporan Kinerja Instansi Pemerintah 2015. Jakarta: Badan Kependudukan dan Keluarga Berencana Nasional.
BPS (2013). Proyeksi Penduduk Indonesia 2010 – 2035. Jakarta: Badan Pusat Statistik RI.
BPS & Macro Internasional (2013). Survei Demografi dan Kesehatan Indonesia 2007. Calverton, Maryland, USA: BPS dan Macro Internasional.
Handayanti, V. (2014). Determinan Unmet Need KB Wanita Usia 15-49 Tahun di Indonesia (Analisis SDKI 2012). Sekolah Tinggi Ilmu Statistik [Skripsi].
Hosmer, D.W., Lemeshow, S., & Sturdivant, (2013). Applied Logistic Regression (3rd ed). New York: John Wiley & Sons, inc.
Kemenkes (2017). Data dan Informasi Kesehatan. Jakarta: Kementrian Kesehatan RI.
Khasanah, A. U. (2017). Determinan Kejadian Unmet Need Untuk Penjarangan Kelahiran di Indonesia Tahun 2012. Sekolah Tinggi Ilmu Statistik [Skripsi].
Maulana, H. D. J. (2009). Promosi Kesehatan. Jakarta: Buku Kedokteran.
Omwango, M. O., & Khasakhala, A. A. (2013). Factors influencing couples’ unmet need for contraception in Kenya. African population studies, 21(2).
Putri, D. M., & Prasetyo, S. (2013). Kebutuhan KB Tidak Terpenuhi (Unmet Need) Pada Wanita Menikah 2 Tahun Pascasalin (Analisis Lanjut Data SDKI Tahun 2007).lib.ui.ac.id/detail?id=20346404&lokasi=lokal diakses 4 Januari 2018 pukul 15.00 WIB.
Rismawati, S. (2014). Unmet Need: Tantangan Program Keluarga Berencana Dalam Menghadapi Ledakan Penduduk Tahun 2030 (Doctoral dissertation, Universitas Padjadjaran).

Published

30-04-2018

How to Cite

Rai, A., & Ramadhan, R. R. (2018). FAKTOR-FAKTOR YANG MEMENGARUHI UNMET NEED KB DI PROVINSI BENGKULU TAHUN 2015 DENGAN PEMODELAN REGRESI LOGISTIK BINER. Indonesian Journal of Statistics and Its Applications, 2(1), 46–55. https://doi.org/10.29244/ijsa.v2i1.57

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Articles