ANALYSIS OF HOUSEHOLD’S POVERTY STATUS IN ACEH 2018

Anis Naufal; Siskarossa Ika Oktora

doi:10.24198/sosiohumaniora.v25i3.25419

ANALYSIS OF HOUSEHOLD’S POVERTY STATUS IN ACEH 2018

Anis Naufal, Siskarossa Ika Oktora

Abstract

No poverty is the first goal of the United Nations Sustainable Development Goals. Based on Law Number 11 of 2006, Aceh Province Government receives a Special Autonomy Fund as compensation for achieving a peace agreement between Aceh Province and the Indonesian Government. This Special Autonomy Fund is valid for 20 years from 2008-2027, which is aimed at poverty alleviation. However, Aceh Province is still the 6th highest percentage of the poor province in Indonesia and the highest in Sumatra in 2018. Thus, this study aims to analyze the demographic, social, and economic variables that affect the poverty status of households in Aceh Province in 2018. The result of the research using ordinal logistic regression indicates that the age, the education level, and the working hours of the head of the household negatively affect the poverty status of the household, while the number of the household member has a positive effect on household poverty status. Households with a female head of household and working in the agricultural sector tend to be poorer.

Keywords

poverty, Aceh, ordinal logistic regression

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References

Agresti, A. (2002). Categorical Data Analysis Second Edition. Canada: John Wiley & Sons, Inc.

Akpan, S. B., Udoh, E. J., & Patrick, I. V. (2016). Sustaining Small Scale Farming: Evidence of Poverty and Income Disparity among Rural Farming Households in South Region of Nigeria. International Electronic Scientific Journal, 2(9), 4.9-4.23.

Badan Pusat Statistik. (2018). Statistik Indonesia 2018. Jakarta: Badan Pusat Statistik.

Badan Pusat Statistik. (2018). Penghitungan dan Analisis Kemiskinan Makro Indonesia Tahun 2018. Jakarta: Badan Pusat Statistik.

Butar-Butar, D. (2008). Analisis Sosial Ekonomi Rumah Tangga Kaitannya dengan Kemiskinan di Perdesaan (Studi Kasus di Kabupaten Tapanuli Tengah). Wahana Hijau Jurnal Perencanaan dan Pembangunan Vol. 4 No.1, 14-15.

Center for Regional Financial Development. (2015). KajianPelaksanaan Dana OtonomiKhusus Aceh. Aceh: PPKD.

Faturrochman, & Molo, M. (1994). Karakteristik Rumah Tangga Miskin di Daerah Istimewa Yogyakarta. Jurnal Populasi, 27.

Hosmer, D. W., & Lemeshow, S. (2000). Applied Logistic Regression Second Edition. New York: John Wiley & Sons, Inc.

Hosmer, D. W., Lemeshow, S, & Sturdivant, R.X. (2013). Applied Logistic Regression Third Edition. John Wiley & Sons, Hoboken, NJ.

Kaplale, R. (2012). Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan di Kota Ambon. Agrilan Vol.1 No.1, 101-115.

Kleinbaum, D., & Klein. (2010). Logistic Regression. A Self- Learning Text, Third Edition. New York: Springer.

Miftahuddin. (2018). Analisa Karakteristik Rumah Tangga Miskin dengan Metode Regresi Logistik Terbaik. Jurnal Matematika, Statistika, dan Komputasi, 7(2), 79-91.

Ministry of Health. (2013). Gambaran Kesehatan Lanjut Usia di Indonesia. Jakarta: Kementerian Kesehatan RI

Nasir, Muhammad, dkk. 2008. “Analisis Faktor-Faktor yang Mempengaruhi Kemiskinan Rumah Tangga di Kabupaten Purworejo”. Eksekutif Vol. 5 No. 2, Agustus 2008.

Nopriansyah, N., Junaidi, J., & Umiyati, E. (2015). Determinan Kemiskinan Rumah Tangga di Provinsi Jambi. Jurnal Perspektif Pembiayaan dan Pembangunan Daerah. 2(3), 119-128.

Putri, A. D., & Setiawina, D. (2013). Pengaruh umur, pendidikan, pekerjaan terhadap pendapatan rumah tangga miskin di Desa Bebandem. E-Jurnal Ekonomi Pembangunan Universitas Udayana, 2(4), 44604.

Sa'diyah, Y. H., & Arianti, F. (2012). Analisis Kemiskinan Rumah Tangga Melalui Faktor-Faktor yang Mempengaruhinya di Kecamatan Tugu Kota Semarang. Diponegoro Journal of Economics Vol 1, No 1, 1-6.

Sekhampu, T. J. (2013). Determinants of Poverty in a South African Township. Journal of Social Sciences, 34(2), 145-153.

Todaro, M. P., & Smith, S. C. (2006). Pembangunan Ekonomi. Jakarta: Erlangga.

World Bank Institute. (2005). Introduction to Poverty Analysis. World Bank Institute.

Zamhari, J., Wisadirana, D., & Kanto, S. (2015). Analisis Determinan Kemiskinan di Jawa Timur. WACANA, Jurnal Sosial dan Humaniora, 18(1).

Zulfakar. (2005). Tinjauan Terhadap Faktor-faktor Penentu Kemiskinan Rumahtangga di Propinsi Banten. Tesis, MPK.

DOI: https://doi.org/10.24198/sosiohumaniora.v25i3.25419