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This study aims to examine the influence of the Gini Ratio, Human Development Index (HDI), and Labor Force Participation Rate (LFPR) on the open unemployment rate in Lampung Province during the 2019–2023 period. The method used in the analysis is a fixed effect model approach with panel data regression, based on secondary data obtained from the Central Statistics Agency (BPS) of Lampung Province. The results of the partial test (t-test) indicate that the three independent variables—the Gini ratio, HDI, and LFPR—do not have a significant effect individually on the open unemployment rate in the region. However, the adjusted coefficient of determination (adjusted R²) value of 88.95% indicates that the model can explain almost all the variation that occurs in the open unemployment rate. This shows that although these variables are statistically insignificant in the model, theoretically they still have an important role in explaining unemployment dynamics in Lampung, along with other factors not yet included in the model. This research provides a strong basis for further analysis in formulating unemployment reduction policies, particularly in regions with economic and social characteristics such as Lampung. Recommendations from this study point to the need for a more comprehensive policy approach that considers other macroeconomic variables such as investment, industrial sector growth, and the quality of education and job training to effectively and sustainably reduce unemployment at the regional level.

Provinsi Jawa Tengah memiliki tingkat ketimpangan yang cukup tinggi, terutama di perkotaan. Data BPS Semester 2 Tahun 2024 menunjukkan rasio ketimpangan di perkotaan sebesar 0.392 dan di pedesaan 0.364, yang disebabkan oleh pembangunan wilayah yang belum merata. Pemerataan pembangunan menjadi fokus utama dalam RPJMN 2025–2045 menuju Indonesia Emas 2045, dengan "Pembangunan Kewilayahan" sebagai agenda ke-6 dari 8 agenda pembangunan, dengan tujuan untuk mewujudkan pemerataan dan keadilan pembangunan. Jawa Tengah memiliki 35 kabupaten/kota dengan tantangan pembangunan yang beragam. Untuk mencapai keadilan pembangunan, daerah tertinggal perlu diprioritaskan. Penelitian ini bertujuan memberikan rekomendasi daerah prioritas pembangunan menggunakan Sistem Pendukung Keputusan (SPK) dengan metode Entropy untuk pembobotan kriteria dan TOPSIS (Technique for Order by Similarity to Ideal Solution)  untuk penentuan prioritas. Kriteria yang digunakan meliputi aspek pendidikan, ekonomi, dan kesejahteraan masyarakat, seperti Umur Harapan Hidup (UHH), Harapan Lama Sekolah (HLS), Rata-rata Lama Sekolah (RLS), Pengeluaran per Kapita, Indeks Pembangunan Manusia (IPM), Persentase Penduduk Miskin, Tingkat Pengangguran Terbuka (TPT), serta Gini Ratio (rasio ketimpangan ). Hasil analisis menunjukkan bahwa Kabupaten Pemalang, Wonosobo, dan Banjarnegara merupakan daerah prioritas pembangunan. Hasil penelitian ini dapat menjadi rekomendasi bagi pemangku kebijakan untuk mendukung pembangunan yang lebih merata dan berkeadilan.

Kemiskinan merupakan salah satu tantangan terbesar yang dihadapi oleh berbagai negara, termasuk Indonesia. Tingginya jumlah penduduk miskin di beberapa wilayah, seperti di Provinsi Jawa Tengah, mencerminkan kompleksitas permasalahan yang dipengaruhi oleh kualitas sumber daya manusia, tingkat kemiskinan, dan pembangunan ekonomi. Provinsi Jawa Tengah, dengan populasi besar, memiliki tingkat kemiskinan yang signifikan, sehingga memerlukan intervensi strategi untuk mengoptimalkan penyaluran program pembangunan. Untuk mendukung pemerintah dalam menentukan prioritas penanganan kemiskinan secara efektif dan efisien, diperlukan sistem pendukung keputusan. Penelitian ini memiliki tujuan untuk merancang sistem pendukung keputusan berbasis TOPSIS yang efisien dan mampu memberikan rekomendasi terbaik berdasarkan beberapa kriteria utama: jumlah penduduk, Tingkat pengangguran, upah minimum, PDRB, dan jumlah penduduk miskin. Hasil analisis menunjukkan bahwa Kota Semarang memiliki tingkat kemiskinan terendah dengan nilai preferensi tertinggi (0,686725), sedangkan Kabupaten Brebes memiliki tingkat kemiskinan tertinggi dengan nilai preferensi terendah (0,154773). Validasi metode TOPSIS yang diterapkan dalam sistem ini mencapai tingkat akurasi sebesar 77,17% yang menunjukkan bahwa hasil pemeringkatan konsisten dengan keselarasan signifikan antara hasil sistem dan kondisi riil. Dengan demikian, sistem pendukung keputusan ini memberikan kontribusi nyata dalam mengklasifikasi wilayah berdasarkan tingkat kemiskinan, sehingga dapat menjadi alat bantu strategi dalam perencanaan program Pembangunan yang lebih tepat sasaran.

This article examines the impact of poverty and unemployment on the Human Development Index (HDI) in the West Java region. Poverty and unemployment are two key factors that play a role in reducing people's quality of life. This research utilizes secondary data from the Central Statistics Agency and other sources to analyze the relationship between poverty levels, unemployment levels and HDI developments in the region. The findings show that increasing poverty and unemployment have a significant negative effect on HDI, which includes health, education and income indicators. These results highlight the importance of comprehensive intervention policies to address the problems of poverty and unemployment in order to improve the quality of life and welfare of people in Indonesia.

This study aims to analyze the effect of unemployment rate and health on the Human Development Index (HDI) in Lampung. This study uses a quantitative method with multiple regression analysis to test the effect of independent variables (unemployment rate and health) on the dependent variable (HDI). The results of the study indicate that the unemployment rate has a significant positive effect on the HDI, where an increase in unemployment has the potential to increase the HDI figure. On the other hand, the health variable does not show a significant effect on the HDI, indicating that although the health program is running, other factors such as the economy and education are more dominant in determining the HDI. Simultaneously, unemployment and health contribute to changes in the HDI, but the dominance of unemployment appears stronger.

This study aims to examine the influence of the number of poor people, average years of schooling, and labor force participation rate on the open unemployment rate (OUR) in Maluku Province from 2017 to 2023. The study uses panel data from 11 districts/cities and applies a regression model using a fixed effect approach. The results show that the average years of schooling have a positive and significant effect on the open unemployment rate. This implies that the longer an individual pursues education, the higher the likelihood of unemployment, as they tend to have higher job expectations and are less willing to accept available jobs. Meanwhile, the labor force participation rate has a negative and significant effect, indicating that a higher number of actively working individuals leads to a lower unemployment rate. The number of poor people does not have a significant effect on unemployment. Overall, the model explains approximately 53.5% of the variation in the open unemployment rate. These findings indicate that education and labor participation are crucial factors in reducing unemployment, but must be supported by the availability of suitable employment opportunities.

This research aims to examine how the predicted years in school and the unemployment rate influence labor force participation (TPAK) in Aceh Province. Across several cities and communities in Aceh, it employs secondary panel data from the Central Bureau of Statistics (BPS).  Panel regression analysis is done using the Random Effect Model (REM) approach in this study. The results show that TPAK is negatively and substantially affected by the unemployment rate, while the projected years of schooling have no significant statistical impact. TPAK changes are generally only marginally affected by either of these causes. The coefficient of determination reveals that the model explains only 8. 3% of the TPAK swings. Although education and unemployment are components of labor market behavior, other, more important variables are more crucial in influencing labor force participation in Aceh, as these results suggest.

This study investigates the impact of household consumption and investment on the open unemployment rate in West Kalimantan over both short and long terms. Using time series data from 1995–2024 and employing the Vector Error Correction Model (VECM) in EViews 12, results show all variables become stationary after first differencing. Johansen cointegration confirms a long-run equilibrium relationship. VECM findings reveal that investment significantly increases unemployment in the long run, while household consumption has no significant effect. In the short term, a significant error correction mechanism exists, indicating adjustment toward long-run equilibrium. Diagnostic tests confirm model validity through absence of autocorrelation and normally distributed residuals. These results highlight the need for more targeted policies to reduce unemployment.

This study aims ti analyze the effect of the Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and Open Unemployment Rate (OUR) on the poverty rate in Gorontalo Province. The study uses panel data from six districts/cities over the period 2017–2024 and is analyzed using panel data regression methods. Based on the results of the Chow test, Hausman test, and Lagrange Multiplier test, the best model used is the Fixed Effect Model (FEM). The analysis results show that simultaneously, the three independent variables have a significant effect on the poverty rate. However, partially, only the GRDP variable has a negative and significant effect on poverty. Meanwhile, the HDI and OUR variables show a negative but statistically insignificant effect on the poverty rate in Gorontalo Province.

This study aims to analyze the effect of population size and open unemployment rate on the Human Development Index (HDI) in Riau Province. The research method used is a descriptive quantitative approach with multiple linear regression analysis. The data used is secondary data based on districts/cities in Riau Province obtained from the Central Statistics Agency (BPS). The analysis results indicate that population size has a positive and significant effect on the HDI, while the open unemployment rate has a negative and significant effect. The F-test also shows that both variables simultaneously have a significant effect on the HDI. The R-squared value of 56.08% indicates that the model adequately explains the variation in the HDI. These findings suggest that improving population quality and reducing unemployment rates are key factors in enhancing human development quality in Riau Province.

Many regions in Indonesia face structural problems such as economic inequality. Economic inequality remains a significant obstacle to the development process, especially in developing countries such as Indonesia. The objective of this study is to determine the influence of Unemployment Rate, Education Index, and Poverty Rate on Economic Inequality in East Java Province. This study employs a quantitative method using secondary data analysis from the Central Bureau of Statistics (BPS) for the years 2010–2023. The analysis method used is multiple regression with classical assumption tests. The results of the study indicate that the Education Index and Percentage of Poor Population variables have a significant and positive impact on economic inequality, while the unemployment rate has a significant but negative impact on economic inequality in East Java Province. These findings suggest the need for further analysis of other factors influencing economic inequality to achieve equitable welfare for the community. The implications of this study can serve as a reference for the government in formulating inclusive development policies to reduce economic inequality in East Java.

The purpose of this study was to analyze the effect of UMK, economic growth and inflation on open unemployment in Central Java in 2019-2023. The total population of this study consisted of 35 districts or cities that provided 175 observations of data and used the saturated sample method so that all were used as sample data. The analysis method used was multiple linear regression. Hypothesis testing using 5% degrees of freedom. The results of the reliability and validity tests showed that all question items were reliable and the constructs were valid, in addition, the regression had met the fit model. The results of the study showed that the Regency/City Minimum Wage (X1) had a significant positive effect on Open Unemployment (Y). Internal Control (X2) had a significant positive effect on employee performance (Y). Work motivation (X3) had a significant positive effect on employee performance (Y).

UMKM merupakan kegiatan usaha yang mampu memperluas dan memberikan peluang bagi masyarakat untuk pemerataan dan peningkatan pendapatan, mendorong pertumbuhan ekonomi, yang berperan dalam mewujudkan stabilatas nasional. Peran serta pemerintah daerah melalui Dinas Koperasi, Usaha Kecil, Menengah dan Perdagangan (DKUKMP) Kota Bontang dalam pemberdayaan diharapkan dapat memperluas lapangan kerja, meningkatkan pendapatan masyarakat serta bisa lebih banyak menyerap tenaga kerja. UMKM diharapkan semakin berperan dalam menekan angka pengangguran. Tujuan penelitian ini untuk mengetahui implementasi pemberdayaan UMKM dalam rangka peningkatan perekonomian di Kota Bontang. Peneliti menggunakan metode pendekatan kualitatif deskriptif. Hasil penelitian menunjukkan bahwa pemerintah Kota Bontang melalui DKUKMP telah memberikan dukungan dalam program pemberdayaan UMKM dan terjadi peningkatan dari tahun 2019 sampai dengan tahun 2023.

This research aims to analyze the trade-off between unemployment and inflation, as well as government policies from an Islamic perspective. Inflation and unemployment issues remain primary challenges for governments in maintaining economic stability. Unlike conventional economic perspectives that accept the trade-off between these two variables, Islamic economics offers a more integrative and holistic approach. Using a literature review method, this study analyzes various literature related to the relationship between unemployment and inflation from both conventional and Islamic economic perspectives. Research findings reveal that in conventional economics, the Phillips Curve depicts a trade-off between unemployment and inflation in the short term, though its validity is questioned in the long term. In contrast, from an Islamic economic perspective, there is no dichotomy between reducing unemployment and controlling inflation, as both can be addressed simultaneously through a just economic system aligned with Sharia principles. Islamic economics offers solutions through strengthening the real sector, profit-sharing financial systems, and implementing zakat, infaq, and waqf instruments that can create employment without generating inflationary pressures. This research provides insights into government policies that align with Sharia values in addressing current macroeconomic challenges.

This study aims to analyze the tradeoff relationship between inflation and unemployment in Indonesia using the Phillips Curve approach. This phenomenon is a central focus in macroeconomics as both indicators are closely linked and directly impact national economic stability. Using data from 2019 to 2024, this study examines the dynamics of inflation and unemployment, as well as their implications for monetary and fiscal policy. The analysis shows that although there are indications of a tradeoff pattern as described by the Phillips Curve, structural and global factors also influence this relationship. Monetary and fiscal policies during crisis, recovery, and stabilization periods play a crucial role in managing the balance between inflation and unemployment.

The human development index is a way to assess the extent of the welfare of society in an area. Human development in Lampung Province is ranked lowest among other provinces on the island of Sumatra with a percentage of 70.45% in 2022. Departing from the geographical context of Lampung Province which is a vital route for economic activity between the islands of Java and Sumatra, this province has the potential to become a center distribution of goods and services at the national level. It should be able to increase employment and income in Lampung Province. So, it can reduce poverty and reduce unemployment. However, in reality, Lampung Province is still far behind other provinces on the island of Sumatra. The formulation of the problem in this research is how poverty and unemployment influence the human development index in Lampung Province. This research uses a quantitative type of research with a descriptive approach using panel data with a fixed effect model approach. The population in this research is data from the Human Development Index contained in the Central Statistics Agency of Lampung Province. According to the research results, X1 has a significant negative effect, X2 has no significant effect. The results of statistical tests state that the value of Prob. (F-statistic) is 0.000000. This means 0.000000<0.05, so it can be concluded that the independent variable (X) has a significant effect on the dependent variable (Y) simultaneously (simultaneously). Based on the results of the statistical tests carried out, an R-squared value of 0.984344 was obtained. It can be concluded that the independent variable has an influence on the dependent variable of 98%, while 2% is influenced by other variables outside the model.

Poverty is a problem that continues to be faced by both developed and developing countries. In developing countries with high population density, this problem is very difficult to overcome, because the increase in population not only impacts the economy, but also political instability. This study aims to determine the effect of unemployment and population on poverty in Aceh Province. This data was obtained from the BPS publication for the period 2020-2023. This study uses panel data regression analysis. Partially, unemployment (X1) does not have a significant effect on poverty (Y) while the HDI figure (X2) has a significant effect on poverty (Y). Likewise, together, unemployment and population have a significant effect on poverty.

Di era globalisasi, jumlah penduduk Indonesia mengalami pertumbuhan pesat. Akibatnya, muncul tantangan baru dimana terdapat ketidakseimbangan antara jumlah lapangan pekerjaan dengan pencari kerja, yang secara tidak langsung menyebabkan meningkatnya angka pengangguran. Meskipun demikian, banyak mahasiswa yang masih ingin berkarir sebagai pekerja, akibat faktor kenyamanan. Padahal, kewirausahaan dapat menjadi solusi untuk menghindari ancaman pengangguran. Oleh sebab itu, penelitian ini bertujuan untuk menunjukkan pengaruh dari variabel kreativitas, pendidikan kewirausahaan, dan lingkungan keluarga terhadap minat berwirausaha mahassiswa akuntansi. Metode pengumpulan data yang digunakan dalam penelitian ini adalah pendekatan kuantitatif dengan menyebarkan kuesioner menggunakan metode snowball terhadap 64 responden mahasiswa akuntansi di Universitas Atma Jaya Semanggi. Dalam penelitian ini, analisis data dilakukan dengan menggunakan aplikasi smartPLS 4 dengan 3 teknik analisis, yaitu analisis model pengukuran, model struktural, dan kelayakan model. Hasil dari kegiatan penelitian ini menunjukkan bahwa variabel kreativitas dan lingkungan keluarga secara independen memiliki pengaruh positif dan signifikan terhadap variabel minat berwirausaha, sedangkan variabel pendidikan kewirausahaan tidak memiliki pengaruh yang signifikan terhadap variabel minat berwirausaha. Implikasi yang diperoleh dari hasil kegiatan penelitian adalah tingkat kreatifitas mahasiswa dan dukungan lingkungan keluarga memainkan peranan yang penting dalam menumbuhkan minat berwirausaha mahasiswa.

Unemployment remains a structural problem in Indonesia with an open unemployment rate reaching 4.91% (BPS, 2024). This study aims to examine the concept of kasb (earning a living) from the perspective of Imam Al-Syaibani and its relevance in the socio-economic context of contemporary Indonesia. The method used is a qualitative literature study with a descriptive-analytical approach, collecting and analyzing classical to contemporary literature related to Al-Syaibani's thoughts and the issue of unemployment. The results of the study show that the concept of kasb emphasizes work as worship that must be carried out in a halal manner, oriented towards a balance between individual (self-interest) and social (public-interest) interests. Al-Syaibani classifies economic endeavors into four types: ijarah (rent), tijarah (trade), zaira'ah (agriculture), and sina'ah (industry), with agriculture as the main sector that brings blessings. This concept is relevant to improving work ethic, productivity, and social responsibility, so that it can be a theoretical and practical solution in reducing unemployment. The integration of spiritual values ​​in economic activities, such as the intention of worship and fair distribution of wealth, can encourage collective welfare. This study contributes to the development of Islamic economics by offering a holistic perspective that combines moral and technical dimensions in overcoming unemployment

This study aims to analyze the influence of the Provincial Minimum Wage (UMP), Poverty Rate (TK), and Unemployment Rate (TPT) on the Human Development Index (HDI) in five provinces of Indonesia categorized as having moderate HDI from 2014 to 2023. The research employs a panel data regression method using the Fixed Effect Model (FEM) approach to capture variations across regions and time.The findings reveal that the UMP has a positive and significant impact on HDI, indicating that higher minimum wages contribute to improvements in human development. In contrast, the TPT negatively and significantly affects HDI, suggesting that higher unemployment rates hinder human development progress. Meanwhile, the TK variable shows no significant effect on HDI, implying that changes in poverty rates during the study period did not directly influence human development levels in these provinces.Furthermore, the results of the regression analysis show that UMP, TK, and TPT simultaneously have a significant impact on HDI, with an overall contribution of 98.65%. The remaining 1.35% is attributed to other factors not included in the research model.These results highlight the importance of policies aimed at increasing minimum wages and reducing unemployment to enhance community welfare and accelerate human development in provinces with moderate HDI. Policymakers are encouraged to design comprehensive strategies that prioritize employment creation and wage improvements as key levers for boosting human development outcomes across regions.