Penanggulangaan Kemiskinan di Kabupaten Luwu Utara menggunakan Pendekaatan Deep Interview
Abstract
This study aims to determine the process and success of poverty alleviation carried out by the North Luwu district government. The data used in this study are cross-section data. The method of determining respondents is by using purposive random sampling which is snowball sampling. The research method used is a case study method with a qualitative approach. Data collection methods are observation and direct interviews. The data analysis technique uses QDA (Qualitative Data Analysis) which is divided into 4 important processes, namely, data collection, data reduction, data presentation and drawing conclusions (verification). The results of the study show that the main cause of poverty in North Luwu district is due to lack of income to meet basic needs such as food, housing, education and health, to meet these needs will always be related to spending. The largest expenditure comes from non-food expenditures, namely in housing and household facilities or the highest of all components of non-food needs of a household. Therefore, the government provides "house renovation" assistance through the BSPS program to poor people who have uninhabitable houses. In addition, other assistance such as BPNT, PKH and PBI are also given in cash to people who are categorized as poor in North Luwu Regency.
References
Andari, A. D. (2024). Bansos PBI JK 2024 Cair Rp 504 Ribu! Cek Manfaat Beserta Cara Cek Penerima Bansos PBI JK. Umsu.Ac.Id. https://umsu.ac.id/artikel/bansos-pbi-jk-2024-cair-rp-504-ribu-cek-manfaat-beserta-cara-cek-penerima-bansos-pbi-jk/#:~:text=Program Bansos PBI JK adalah,karena sudah ditanggung oleh pemerintah.
Badan Pusat Statistik. (2023). Kemiskinan dan Ketimpangan. BPS.
Binus University. (2020). Pentingnya Pendidikan Berkualitas Demi Tingkatkan SDM Yang Handal. https://online.binus.ac.id/
Davis, E. P., & Sanchez-martinez, M. (2014). A review of the economic theories of poverty. National Institute of Economic and Social Research, 435, 1–65.
Eide, E. R., & Showalter, M. H. (2010). Human Capital (P. Peterson, E. Baker, & B. B. T.-I. E. of E. (Third E. McGaw (eds.); pp. 282–287). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-08-044894-7.01213-6
I Nengah Sinarta, Nyoman Nuri Arthana, Endra Prasandya, K. D., & Kurniawan, A. (2022). Program Bedah Rumah Sebagai Bentuk Sosial Untuk Minimalisir Rumah Tidak Layak Huni. Jurnal Abdi Daya, 2(1), 31–38. https://doi.org/10.22225/jad.2.1.2022.31-38
Michael Page, I. (2022). Pengaruh Indeks Pembangunan Manusia, Pendapatan Perkapita Dan Pertumbuhan Ekonomi Terhadap Kemiskinan Di Kabupaten Hulu Sungai Selatan Tahun 2005-2019. 5(1), 81–97.
Miles A.M, M. B. & H. (1994). An expanded sourcebook: Qualitative data analysis (2nd Edition). In Sage Publications (Issue 2nd Edition).
Perekonomian, K. K. B., & Indonesia, R. (2024). Wujudkan Perencanaan Pembangunan yang Tepat Sasaran dan Berkelanjutan, Pemerintah Dukung Pemanfaatan Data Registrasi Sosial Ekonomi. Ekon.Go.Id. https://www.ekon.go.id/publikasi/detail/5834/wujudkan-perencanaan-pembangunan-yang-tepat-sasaran-dan-berkelanjutan-pemerintah-dukung-pemanfaatan-data-registrasi-sosial-ekonomi
Rowntree, B. S. (1901). A study of town life. 44(0).
Sahar, A. R., & Salomo, R. V. (2018). Tata Kelola Kolaboratif Dalam Penanggulangan Kemiskinan Di Kabupaten Pinrang. The Indonesian Journal of Public Administration (IJPA), 4(2), 49–64. https://doi.org/10.52447/ijpa.v4i2.1305
Zaqiah, A., Triani, M., & Yeni, I. (2023). Pengaruh Pendidikan, Pengangguran dan Jumlah Penduduk Terhadap Tingkat Kemiskinan di Indonesia. Jurnal Kajian Ekonomi Dan Pembangunan, 5(3), 33. https://doi.org/10.24036/jkep.v5i3.15284
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