Analisis Korelasi : Hubungan Pengangguran terhadap Perkembangan Tingkat Kemiskinan di Kota Jambi

Nayla Desviona; Ermaini Ermaini; Mustika Mustika; Helmina Helmina; Kayla Risma Marfisya; Aulia Septia Ningrum

doi:10.61132/menawan.v3i2.1710

Authors

Nayla Desviona Universitas Muhammadiyah Jambi
Ermaini Ermaini Universitas Muhammadiyah Jambi
Mustika Mustika Universitas Muhammadiyah Jambi
Helmina Helmina Universitas Muhammadiyah Jambi
Kayla Risma Marfisya Universitas Muhammadiyah Jambi
Aulia Septia Ningrum Universitas Muhammadiyah Jambi

DOI:

https://doi.org/10.61132/menawan.v3i2.1710

Keywords:

Jambi City, Pearson Correlation, Poverty, Unemployment

Abstract

This study aims to analyze the relationship between the open poverty rate (TPT) and the poverty rate in Jambi City from 2014 to 2023. Poverty and poverty are important issues in regional development because they directly impact community welfare. This study employed a quantitative method with a descriptive correlational approach, and data analysis was conducted using the Pearson correlation test. Secondary data were obtained from the Jambi City Central Statistics Agency (BPS). The results of the normality test indicated that the data were normally distributed, making them suitable for analysis using Pearson. The correlation analysis showed a correlation coefficient between the TPT and poverty of 0.049 with a significance level of 0.893, indicating no significant relationship between the two variables. This finding suggests that poverty is not the sole factor determining the poverty rate in Jambi City. Therefore, poverty alleviation requires a multidimensional approach that focuses not only on employment but also includes education, distribution of social assistance, and equitable regional development.

Downloads

Download data is not yet available.

References

Amir, A. (2013). Faktor-faktor yang mempengaruhi kemiskinan dan pengangguran di Kota Jambi. Jurnal Ekonomi dan Pembangunan, 1(2), 109–120.

Badan Pusat Statistika. (2024a). Indikator ketenagakerjaan kabupaten/kota di Provinsi Jambi. Badan Pusat Statistika Jambi.

Badan Pusat Statistika. (2024b). Jumlah penduduk miskin Kab/Kot (ribu jiwa). Badan Pusat Statistika Jambi.

Dewi, I. R. (2023). Mengupas kemiskinan di Provinsi Banten: Bagaimanakah peran faktor kependudukan dan ekonomi? Ecoplan, 6(2), 100–117.

Iradian, G. (2005). Inequality, poverty, and growth: Cross-country evidence. IMF Working Paper. https://doi.org/10.5089/9781451862193.001

Jannah, M. (2023). Pengaruh pengangguran terhadap tingkat kemiskinan di Provinsi Jambi (2017–2021). Jurnal Ekonomi dan Sosial, 1(1).

Juliswara, V., & Muryanto, F. (2022). Indonesia dalam pusaran globalisasi: Pengembangan nilai-nilai positif globalisasi bagi kemajuan bangsa. Uwais Inspirasi Indonesia.

Lestari, D. P., & Aminah, S. (2018). Analisis pengaruh pertumbuhan penduduk, pendidikan, pertumbuhan ekonomi, pengeluaran pemerintah, tingkat pengangguran dan inflasi terhadap tingkat kemiskinan di Kota Jambi. Jurnal Ekonomi dan Pembangunan Daerah, 7(2).

Nauval, M., & Mutia, A. (2025). Pengaruh pertumbuhan ekonomi, pengangguran, dan Indeks Pembangunan Manusia (IPM) terhadap kemiskinan di Kota Jambi dari tahun 2017–2023. Jurnal Penelitian Multidisiplin Terpadu, 9(1).

Sari, W. M. W., & Putri, D. Z. (2022). Analisis korelasi antara pengangguran, kemiskinan, dan ketimpangan pendapatan di Provinsi Sumatera Barat. Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan, 11(2), 90. https://doi.org/10.24036/ecosains.12071457.00

Soleh, A., Daniel, P. A., & Siswoyo, S. (2019). Analisis pengangguran dan kemiskinan di Provinsi Jambi. Jurnal Development, 7(2), 98–107.

Subayil, L. (2020). Pengaruh tingkat pendidikan, pengangguran, pertumbuhan ekonomi dan Indeks Pembangunan Manusia terhadap kemiskinan di DI Yogyakarta periode 2010–2017. GROWTH: Jurnal Ilmiah Ekonomi Pembangunan, 2(1), 1–17.

Syahri, D., & Gustiara, Y. (2020). Pengaruh pertumbuhan ekonomi dan kemiskinan terhadap ketimpangan pendapatan di Sumatera Utara periode 2015–2019. Journal of Trends Economics and Accounting Research, 1(1), 34–43.