Wiwin Priana Primandhana
Universitas Pembangunan Nasional Veteran Jawa Timur

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Analisis faktor-faktor yang mempengaruhi kemiskinan Laga Priseptian; Wiwin Priana Primandhana
FORUM EKONOMI Vol 24, No 1 (2022): Januari
Publisher : Faculty of Economics and Business Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jfor.v24i1.10362

Abstract

Salah satu ukuran kondisi sosial dan ekonomi dalam menilai keberhasilan pembangunan pemerintah di suatu daerah adalah tingkat kemiskinan itu sendiri. Penelitian ini dilakukan untuk mengetahui pengaruh Upah Minimum Provinsi (X1), Indeks Pembangunan Manusia (X2), Pertumbuhan Ekonomi (X3) dan Pengangguran (X4) terhadap Kemiskinan (Y) di Provinsi Jawa Timur dari tahun 2005 hingga 2020. Metode penelitian kuantitatif yang menggunakan analisis regresi linier berganda dengan model Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa Upah Minimum Provinsi (X1) memiliki pengaruh negatif dan signifikan terhadap kemiskinan, Indeks Pembangunan Manusia (X2) memiliki pengaruh positif dan tidak signifikan terhadap kemiskinan, Pertumbuhan Ekonomi (X3) memiliki pengaruh negatif dan tidak signifikan terhadap kemiskinan, Pengangguran (X4) memiliki pengaruh positif dan signifikan terhadap kemiskinan, dan secara simultan seluruh variabel bebas mempengaruhi kemiskinan di Jawa Timur.
Pengaruh Pertumbuhan Ekonomi, Tingkat Pendidikan, dan Tingkat Pengangguran Terhadap Tingkat Kemiskinan di Kabupaten Jombang Eka Rizki Kurniawan; Wiwin Priana Primandhana
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 2 (2025): Juli : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i2.6018

Abstract

From 2012 to 2023, researchers in Jombang Regency attempted to calculate the poverty rate and see how variables such as economic growth, education level, and unemployment rate affect poverty rate. This study used secondary data collected by BPS Jombang Regency. Multiple linear regression analysis is a major component of quantitative research methodology. So, considering all things, the data shows that poverty rate is significantly affected by economic growth, education level, and unemployment rate simultaneously. Various variables related to economic growth have a positive but insignificant impact on poverty, while education level has a negative but significant impact, and unemployment rate is positively and significantly related to poverty.
The Influence of Economic Growth, Investment, and Min-imum Wage on Unemployment in East Kalimantan Districts Ahmad Shofyuddin; Wiwin Priana Primandhana
Global Economics: International Journal of Economic, Social and Development Sciences Vol. 2 No. 3 (2025): September : Global Economics - International Journal of Economic, Social and De
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globaleconomics.v2i3.330

Abstract

This study investigates the influence of economic growth, investment, and minimum wage on the open unemployment rate across districts and cities in East Kalimantan Province. The research employs a quantitative descriptive approach with panel data regression analysis, processed using EViews 13 software. Model selection was carried out through the Chow and Hausman tests, which identified the Fixed Effect Model (FEM) as the most appropriate estimation technique. The study utilizes secondary data from 2018 to 2024, obtained from the Central Bureau of Statistics (BPS) and the Investment and One-Stop Integrated Service Office of East Kalimantan Province. The empirical findings demonstrate that economic growth exerts a negative and statistically significant impact on the open unemployment rate, indicating that higher economic growth effectively contributes to reducing unemployment in the region. Foreign Investment (PMA) is found to have a negative but insignificant effect, suggesting that inflows of foreign capital alone do not directly translate into job creation unless accompanied by supporting policies and local labor absorption capacity. In contrast, Domestic Investment (PMDN) shows a positive yet statistically insignificant relationship with unemployment, reflecting the possibility that domestic investments may not always generate sufficient employment opportunities in the short term due to structural constraints or sectoral imbalances. Furthermore, the minimum wage variable has a negative and significant effect on the open unemployment rate, implying that increases in the regional minimum wage can stimulate greater employment absorption and improve labor market conditions. Overall, the results highlight the importance of fostering sustained economic growth and designing investment policies that are more labor-intensive to optimize employment creation. Additionally, the findings emphasize the strategic role of minimum wage policy in supporting job opportunities while safeguarding workers’ welfare.