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Kemiskinan masih menjadi permasalahan yang dihadapi oleh Provinsi Jawa Timur. Kondisi ini dipengaruhi oleh berbagai faktor, diantaranya Indeks Pembangunan Manusia (IPM) dan Tingkat Pengangguran Terbuka (TPT). Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder berbentuk deret waktu (time series) periode 2010–2024 yang diperoleh dari Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Teknik analisis yang digunakan adalah regresi linier berganda dengan bantuan program EViews. Hasil penelitian menunjukkan bahwa secara parsial IPM memiliki pengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Timur, sedangkan TPT berpengaruh positif namun tidak signifikan. Secara simultan, IPM dan TPT berpengaruh signifikan terhadap tingkat kemiskinan di Provinsi Jawa Timur. Temuan ini menunjukkan bahwa peningkatan kualitas pembangunan manusia melalui aspek pendidikan, kesehatan, dan standar hidup yang layak dapat menjadi salah satu strategi dalam menurunkan tingkat kemiskinan di Provinsi Jawa Timur.

This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. It is transmitted through the air, specifically through droplets expelled by sufferers when coughing or sneezing. TB is divided into two main types: pulmonary TB, which attacks the lungs, and extrapulmonary TB, which can affect other organs such as the pleura, lymph nodes, skin, bones, and meninges. In the Community Health Center (Puskesmas) work area, 77 new cases of pulmonary TB were recorded from January to April 2025. Meanwhile, coverage of Tuberculosis Prevention Therapy (TPT) only reached 44.7%, still below the national target of at least 50%. This condition indicates the need for increased health promotion activities and community diagnostic approaches as promotive and preventive measures, in order to increase TPT coverage and reduce the incidence of TB. The results of the respondent questionnaire showed that the level of public knowledge about TB reached 64.6%, positive attitudes at 94%, and preventive behavior at 72%. Based on these findings, it is recommended that outreach activities be conducted regularly to improve public understanding, which can ultimately encourage behavioral changes and reduce TB cases.

The reciprocal tariff policy has a significant impact on a number of countries, including Indonesia. In this scheme, Indonesian non-oil and gas products are subject to a tariff of 32% when entering the US market. Such a high tariff places Indonesian exporters in a less competitive position compared to other countries that have more favorable trade arrangements with the United States. This condition becomes more complex when viewed in the broader context of the US-EU trade war, which creates uncertainty and turbulence in the global economy. Indonesian exports are affected both directly and indirectly. Indirect impacts can be seen from disruptions to the global supply chain, the slowdown in the world economy, and decreased global demand. As global production networks become increasingly interconnected, any disruption in major economies will ultimately suppress demand for Indonesian export commodities. This means that even if Indonesian products are not directly targeted, the ripple effects of global trade tensions will still hinder Indonesia’s export performance. For instance, reduced consumption in Europe and the US due to rising product prices and inflation will diminish market opportunities for Indonesian goods.On the other hand, direct impacts arise because several Indonesian products have been explicitly subjected to tariffs by the US government. These include textiles and textile products (TPT), electronics and their components, footwear, furniture, and palm oil (crude palm oil/CPO). Such tariffs significantly reduce Indonesia’s competitiveness in the US market, potentially leading to decreased export volumes, lower revenues for domestic industries, and job losses in export-oriented sectors. Furthermore, the policy also makes European products much more expensive in the US market, which worsens the global supply chain, increases logistics costs, triggers inflation, and escalates uncertainty in international trade.

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.

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 examines the implementation of the local workforce priority policy in Bekasi Regency during the first six months of the new Regent's leadership (January–June 2025). Although Bekasi is known as a large industrial area with extensive job opportunities, February 2025 data shows that the Open Unemployment Rate (TPT) remains high, at 8.87%, or far above the national average. This condition indicates that the policy based on Regional Regulation (Perda) No. 4 of 2016 has not been running optimally. The analysis results show that the policy implementation faces structural obstacles, one of which is the practice of co-optation in the form of brokering, nepotism, and rent-seeking, which undermine the principle of meritocracy. This situation has resulted in a decline in the quality of human resources recruited by companies and limited opportunities for local job seekers who actually have adequate competence. This report also discusses the legal aspects of the local priority policy, which essentially must be consistent with the principle of non-discrimination and the Supreme Court's decision emphasizing the importance of professionalism in the workplace. Thus, the existence of this policy is not only related to job opportunities, but also concerns the integrity of labor governance. To increase its effectiveness in the future, a comprehensive strategy is needed that includes strengthening regulations to be more adaptive to industry dynamics, increasing transparency and accountability in the recruitment process, developing the capacity of local human resources through targeted training programs, and strict monitoring and law enforcement mechanisms against abuses of authority. Through this integrated effort, it is hoped that the local labor priority policy in Bekasi Regency will not only be a formal instrument but will also be able to have a real impact in reducing unemployment and strengthening the competitiveness of the local workforce amidst the currents of industrial globalization.

This study aims to analyze the influence of population size, Human Development Index (HDI), and Open Unemployment Rate (OUR) on poverty levels in regencies/cities of Special Region of Yogyakarta during 2018-2023 period. The research employed quantitative design with panel data regression analysis approach across five regencies/cities in DIY. Secondary data were obtained from official publications of Statistics Indonesia Yogyakarta Province and analyzed using Fixed Effect Model and Random Effect Model with Stata 17 software. The research findings indicate that HDI has negative and significant effect on poverty level, suggesting that improvement in human resource quality effectively reduces poverty. OUR proved to have positive and significant effect on poverty, confirming that increased unemployment raises poverty levels. Conversely, population size shows no significant influence on poverty in DIY. These findings provide strategic implications for local government to prioritize investment in education and health sectors as well as job creation programs in poverty alleviation efforts. High inter-regional heterogeneity indicates the necessity for policy approaches tailored to specific characteristics of each regency/city in DIY.

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.

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.

Poverty is a crucial issue for a country. Overcoming poverty requires a comprehensive and sustainable approach that encompasses various sectors.  This study aims to determine the effect of the Open Unemployment Rate (TPT), Gross Regional Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) on the number of poor residents.  The data analysis technique used in this research is OLS (Ordinary Least Squares), utilizing time series data on the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), Labor Force Participation Rate (TPAK), and poverty from 2002-2023 in North Sumatra Province.  The results of this study indicate that the Open Unemployment Rate (IPT) does not affect poverty, whereas the Gross Regional Domestic Product (PDRB) and the Labor Force Participation Rate (TPAK) have a negative and significant impact on poverty.  Meanwhile, simultaneously, the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) affect poverty in North Sumatra Province from 2002 to 2023.

One of the socioeconomic problems faced by every region is poverty. Poverty is a social issue that takes place in the long term, so that until now it is still difficult to overcome. The purpose of this study was to determine the effect of Population, Open Unemployment Rate (TPT), and Human Development Index on Poverty Level in North Sumatra Province. This study uses secondary data analysis in the form of time series data which is quantitative in nature, namely data in the form of numbers. The secondary data used in this study are poverty data, population data, open unemployment rate data and human development index data from 2001 to 2021. These data were obtained from the North Sumatra in Figures (SUDA) document from 2001 to 2021. The results of this study prove that population has a significant effect on the poverty rate of North Sumatra Province, the open unemployment rate variable has no significant effect on the poverty rate of North Sumatra Province, the human development index variable has no significant effect on the poverty rate of North Sumatra Province. Simultaneously, population, open unemployment rate (TPT), and human development index have a significant effect on the poverty rate in North Sumatra province.

Poverty has become a quite burdensome economic challenge for developing countries. In addition, poverty is also closely linked to inequality. In Indonesia, poverty is one of the economic challenges that is difficult to face to date. This study examines the effect of Investment, TPT and UMR on poverty in West Sumatra in 2010-2024. The data used are secondary time series data obtained through the BPS website. The analysis method used is the multiple regression analysis method using the E-views tool. The results of the study show that Investment has a significant negative effect on poverty, the Open Unemployment Rate has a positive effect, but is not significant on poverty, and UMR has a significant negative effect on poverty. Simultaneously, these three variables have a significant effect on poverty.

Velva, a kind of frozen dessert, made from fruit that contains nutrients and help the body's metabolic processes as a source of energy. Red dragon fruit (Hylocereus polyrhizus) is used in the production of velva in order to get a good color and Moringa to increase antioxidant activity.  The purpose of this study was to determine the appropriate substitution ratio between velva, dragon fruit, moringa leaf extract, and stabilizer to produce dragon fruit velva with good characteristics, namely high antioxidant and preferred by consumers.  This study used a factorial completely randomized design (CRD).  The factors used were the concentration of Moringa leaves (8, 10, 12 g) and the concentration of the type of stabilizer (CMC 1,26%, cornstarch 1,26%, carrageenan 1,26%).  The best chemical analysis was treatment concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract with antioxidant activity 16,85%, crude fiber 0.63%, vitamin C 4,33%, reducing sugar 11,83%, total phenolic 13,93mg.GAE/ml and pH 3,5.  Physical analysis with melting power 47.00 minutes/hour, overrun 13,00%, TPT 4˚Brix and TAT 1.14%.  The results of the red dragon fruit velva sensory test with various types of stabilizers and the addition of Moringa leaves, as well as the combination of treatments between the two had no significant effect on color, texture, taste, aroma and overall preference.  The best organoleptic analysis was the P3K1 treatment (concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract) with a color value of 3.06, taste 2.57, aroma 2.78, texture 3.50 and overall preference 3,42.

Poverty is an issue that is often discussed by society. This research aims to analyze the influence of the level of open poverty, human development index, and level of education on poverty in North Sumatra Province. Using the panel data regression method, the research results show that the human development index and education level have a significant influence on poverty, while the level of open poverty does not have a significant influence. These findings provide important insights for policy makers in designing more effective and sustainable poverty alleviation programs in North Sumatra.

Poverty is one of the fundamental problems that is of concern to the central government in any country, nationally and internationally. Indonesia is one of the countries that is still trapped in the problem of poverty which has not yet been completely resolved. This research aims to analyze the influence of open unemployment, government expenditure, human development index on the number of poor in Lampung Province. The research data used is secondary data from publications by the Lampung Province Central Statistics Agency. The independent variables in this research are the influence of Open Unemployment and the Human Development Index, while the dependent variable is the Number of Poor People. The analysis technique used is Multiple Regression Analysis with the Ordinary Least Square (OLS) Method. The research results show that Open Unemployment (TPT) research has a negative and insignificant effect on the number of poor people, education level (TP) has a negative and not significant effect on the number of poor people, the minimum wage (UMK) has a significant positive effect on the number of poor people, while the Human Development Index (HDI) has an insignificant negative effect on the number of poor people. The results of the F test, Open Unemployment, Government Expenditures and the Human Development Index have a simultaneous or equally significant positive effect on the Number of Poor People in Lampung Province.      

The unemployment situation in West Java remains a serious concern, particularly due to the impacts of the COVID-19 pandemic, technological changes, and industrial restructuring. During the transition period of the COVID-19 pandemic, the Open Unemployment Rate (TPT) in West Java Province decreased, indicating a potential relationship between unemployment rates and economic growth. This study aims to identify and analyze the effect of unemployment on economic growth in West Java using descriptive analysis and quantitative analysis with a multiple linear regression approach. Statistical analysis results show the regression equation Y = 6.170 – 0.088X1 – 0.771X2 + e. This means that if the variables unemployment (X1) and COVID (X2) are zero, economic growth (Y) remains constant at 6.170. Each 1% increase in unemployment reduces economic growth by 0.088%, while each 1% increase in COVID cases reduces economic growth by 0.771%. The F-test simultaneously, with a significance value of 0.000 < 0.05, indicates that the percentage of unemployment and the COVID dummy variable significantly affect economic growth in West Java. With an F value of 0.05, the alternative hypothesis (H1) is accepted, and the null hypothesis (H0) is rejected, indicating that unemployment and COVID variables significantly influence economic growth.      

This research aims to analyze the influence of the Human Development Index (HDI), Open Unemployment Rate (TPT) and Poverty Rate (TK) on the Rate of Economic Growth on Kalimantan Island in 2014-2023. The independent variables are the Human Development Index (HDI), Open Unemployment Rate (TPT) and Poverty Rate (TK) and the dependent variable is the Economic Growth Rate. This research uses secondary data in the form of a time series, namely a 10 year time series, namely from 2014-2023. Data obtained from BPS Indonesia, and BI. The research method is quantitative with data analysis used by researchers, namely classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, autocorrelation test), multiple linear regression and statistical tests (coefficient of determination test (R2), t test and F test) with using eviews-10. The results of the partial regression coefficient (t test) show that the Human Development Index (HDI) has no effect on the Economic Growth Rate, nor does the Open Unemployment Rate variable have a significant influence on the Open Unemployment Rate variable on the Economic Growth Rate and is in line with the Poverty Rate variable (TK) that there is no significant influence of the Poverty Level variable on the Rate of Economic Growth. The results of the F test analysis show that there is no joint influence on the rate of economic growth on the island of Kalimantan.

Economic growth is the key to successful development and increased prosperity in developing countries like Indonesia. This study uses secondary data from 2013-2023 to analyze the influence of the Human Development Index, Unemployment Rate and GRDP on development. The results show that GRDP and Unemployment Rate do not have a significant effect on the Human Development Index. Therefore, it is important for the authorities to facilitate job seekers in finding work, even if they do not work in Lampung Province.

Economic growth is an indicator of development success. Therefore, the higher the economic growth, the higher the welfare of the community. The success or failure of regional development depends on several indicators, including economic growth which reflects the growth of regional gross domestic product (GDP). In this research, we will examine the influence of the demographic bonus and Open Unemployment Rate on Economic Growth for the 2014-2023 Period. The data used in this research is secondary data, namely data obtained from a second source during the period 2014 to 2023. The type of data used in this research is time series data, namely time series data. Based on the research results, it shows that the independent variables influence Economic Growth (PE) in Lampung Province. Meanwhile, partially, the Demographic Bonus (BD) and Open Unemployment Rate (TPT) variables do not have a positive effect on Economic Growth (PE) in Lampung Province. BD and TPT together influence Economic Growth (PE) in Lampung Province in 2013-2022, using a confidence level of 95% or with an alpha (ɑ) of 0.05.