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Jurnal Ekonomi Kependudukan dan Keluarga

Abstract

Maternal health and life during pregnancy, childbirth, and the postpartum period are very important in determining the growth and future development of the birth generation. SDG indicators express the global seriousness of this effort, aiming to reduce the maternal mortality ratio (MMR) to less than 70 per 100,000 live births by 2030. However, according to the Long Form SP2020, Indonesia still has 189 deaths per 100,000 live births. Papua and West Papua are the two provinces with the worst MMR achievements, with 565 and 343 deaths per 100,000 live births, respectively. Therefore, this research will provide general overview and identify factors that influence the incidence of maternal mortality in households on Papua Island. The data is from Long Form SP2020 and is modeled using firth binary logistic regression. Variables that significantly influenced the incidence of maternal death in households on Papua Island were the classification area of residence, the number of household members, gender, age, education level, and the primary employment sector of the households head. The government needs to focusing maternal health programs on households that live in rural areas, are small households, have a head of household with low education, work in the agricultural sector, or are unemployed, and are older.

Keywords: maternal mortality, Papua Island, firth logistic regression, Long Form SP2020

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Bahasa Abstract

Kesehatan dan kelangsungan hidup ibu saat kehamilan, persalinan, hingga masa nifas sangat penting dalam menentukan tumbuh kembang dan masa depan generasi yang dilahirkannya. Keseriusan global dalam upaya tersebut tertuang pada salah satu indikator SDGs, yaitu mengurangi rasio angka kematian ibu (AKI) hingga kurang dari 70 per 100.000 kelahiran hidup pada 2030. Namun, berdasarkan Long Form SP2020 Indonesia masih berada pada angka 189 kematian per 100.000 kelahiran hidup. Papua dan Papua Barat menjadi dua provinsi dengan capaian AKI terburuk dengan angka masing-masing 565 dan 343 kematian per 100.000 kelahiran hidup. Oleh karena itu, penelitian ini akan memberikan gambaran umum dan mengidentifikasi faktor-faktor yang berpengaruh terhadap kejadian kematian maternal pada rumah tangga di Pulau Papua. Data yang digunakan bersumber dari Long Form SP2020 dan dimodelkan dengan regresi logistik biner firth. Hasilnya, diperoleh variabel yang signifikan memengaruhi kejadian kematian maternal pada rumah tangga di Pulau Papua adalah klasifikasi wilayah tempat tinggal, ukuran keluarga, jenis kelamin KRT, usia KRT, tingkat pendidikan KRT, dan sektor pekerjaan utama KRT. Pemerintah perlu memfokuskan program kesehatan maternal pada rumah tangga yang tinggal di wilayah perdesaan, rumah tangga berukuran kecil, memiliki kepala rumah tangga berpendidikan rendah, bekerja di sektor pertanian atau tidak bekerja, dan berusia tua.

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