Author
Fatimatuzzuhra F(1
(1) Politeknik Statistika STIS,
(2) Politeknik Statistika STIS,
(3) Politeknik Statistika STIS,
(4) Politeknik Statistika STIS,
(5) Politeknik Statistika STIS,
| Article Analytic |
Available online: 2024-06-20 | Published : 2024-06-20
Copyright (c) 2024 Fatimatuzzuhra F, Agus Purwoto, Muh. Ruhul Ikhsan, Revina Siregar, Zahra Khairunnisak
Article can trace at:
Article Metrics
Abstract Views: 121 times
PDF Downloaded: 156 times
Abstract
One of the main problems in Indonesia is poverty. According to the Indonesian Central Statistical Agency, by 2023, East Nusa Tenggara Province (NTT) is one of the provinces with a high number of poor people with a total of 1.1 million poor people. The causes of high poverty in East Nusa Southeast province need to be investigated. The study aims to find out the general picture of poverty and the variables that are supposed to affect it, as well as the significant variables affecting poverty in East Nusa Tenggara Province in 2023. The method used in the research is multiple linear regression. The results of the analysis showed that the economic growth variable (PDRB) and the unemployment rate (TPT) had a negative and significant impact on poverty, while education (average school age) and human development index (IPM) had no significant impact. The R-square value of this study is 0.567 which means that 56.7 percent of the diversity of the poverty variable can be explained by the economic growth variables, education, the human development index, and the unemployment rate, while the remaining 43.3 percent are described by other variables that do not fit into the model.
Keywords
References
Ahmad, O., Nim, R. S., Ekonomi Pembangunan, J., Ekonomi, F., & Bisnis, D. (n.d.). Pengaruh Rata-Rata Lama Sekolah, Pengeluaran Riil Perkapita, Pertumbuhan Ekonomi Dan Pengangguran Terhadap Tingkat Kemiskinan Di Provinsi D.I Yogyakarta.
Hartanto, T. B., & Masjkuri, S. U. (2010). Jurnal Ilmu Ekonomi Terapan.
Ichimura Shinichi. 1989. Pembangunan Ekonomi Indonesia. Cetakan Pertama. Jakarta: UI-Press.
Napitupulu, A.S. 2007. Pengaruh Indikator Komposit IPM Terhadap Penurunan Jumlah Penduduk Miskin Di Sumatera Utara. Sumatera Utara : Universitas Sumatera Utara.
Oleh, D., Widyah, :, & Nisa, K. (2018). Analisis Faktor-Faktor yang Memengaruhi Pengangguran pada Daerag TPT tinggi dan Daerah TPT rendah.
Pengaruh, A., & Pengangguran, D. (2005). Analisis Pengaruh Pdrb, Pendidikan Dan Pengangguran Terhadap Kemiskinan Di Provinsi Jawa Tengah Tahun 2005-2010.
Perspektif, J., & Darussalam, E. (2018). Pengaruh Jumlah Penduduk, Tingkat Pengangguran Dan Tingkat Pendidikan Terhadap Kemiskinan Di Provinsi Aceh. 4(2).
Resmi, B., & Publikasi, S. (2024). Rata-rata lama Sekolah. https://sulbar.bps.go.id/indicator/26/35/1/rata-rata-lama-sekolah.html#:~:text=Rata-Rata
Ridwan Muhtadi. 2011. Geliat Ekonomi Islam. Malang: UIN Maliki Press.
Sari, Maya N. (2018). Analisis Variabel-Variabel yang Mempengaruhi Kemiskinan di Jawa Tengah Tahun 2016. Jakarta.
Sen, A. (2000). Social exclusion : concept, application, and scrutiny. Office of Environment and Social Development, Asian Development Bank.
Susanto, R., & Pangesti, I. (2019). Pengaruh Tingkat Pendidikan Terhadap Kemiskinan Di Dki Jakarta. In Journal of Applied Business and Economic (Vol. 5, Issue 4).
Todaro, Michael P dan Smith, Stephen C. (2011). Pembangunan Ekonomi (Edisi Kesebelas). Jakarta: Penerbit Erlangga.
Todaro, Michael P. (2004). Pembangunan Ekonomi Di Dunia Ketiga. Edisi Kedelapan. Jakarta: Erlangga.
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.








