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Pemodelan Angka Kematian Ibu Di Indonesia Dengan Pendekatan Geographically Weighted Poisson Regression

Author

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  • Destyanugraha, Rivan
  • Kurniawan, Robert

Abstract

Angka Kematian Ibu (AKI) merupakan salah satu indikator penting pembangunan kesehatan suatu negara danmenjadi salah satu target pencapaian Sustainable Development Goals (SDGs). Penelitian ini bertujuan menyusun model hubungan AKI dengan variabel-variabel pembangunan kesehatan provinsi menggunakan metode Geographically Weighted Poisson Regression (GWPR) dan memetakan model tersebut kedalam peta provinsi. Estimasi parameter model menggunakan data PODES tahun 2011 dan profil kesehatan dan proyeksi penduduk tahun 2010-2013. Model yang diperoleh terdiri dari empat variabel yang mempengaruhi jumlah kematian ibu yaitu rasio sarana kesehatan, rasio bidan, persentase persalinan ditolong tenaga kesehatan, dan persentase ibu hamil mendapat tablet Fe. Pemetaan empat variabel tersebut ke dalam peta provinsi menghasilkan tiga kelompok wilayah dengan tingkat signifikansi variabel yang berbeda-beda. Nilai AIC dan deviance model GWPR lebih rendah dari regresi Poisson menunjukkan bahwa model AKI dengan GWPR lebih baikdari regresi Poisson.

Suggested Citation

  • Destyanugraha, Rivan & Kurniawan, Robert, 2017. "Pemodelan Angka Kematian Ibu Di Indonesia Dengan Pendekatan Geographically Weighted Poisson Regression," INA-Rxiv t672g, Center for Open Science.
    • Handle: RePEc:osf:inarxi:t672g
    DOI: 10.31219/osf.io/t672g
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