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This study aims to analyze the influence of national income, as measured by Gross Domestic Product (GDP), on poverty levels in Indonesia from a sharia economic perspective. The research method used is quantitative with a simple linear regression approach, supported by a literature review to enrich the analysis from an Islamic perspective. The data used is annual secondary data from the 2010-2023 period sourced from the Central Statistics Agency (BPS). The results indicate that national income (GDP) has a negative and significant effect on poverty levels in Indonesia, meaning that every increase in GDP is followed by a decrease in the percentage of the poor. From a sharia economic perspective, national income growth must be accompanied by a fair distribution mechanism through zakat, infaq, sedekah, and waqf (ZISWAF) instruments so that its benefits can be felt by all levels of society, in line with the concepts of falah and maqashid sharia.

The Society 5.0 era promotes the integration of cyber-physical technology through Artificial Intelligence (AI) and Big Data for human welfare, where digital zakat transformation becomes a crucial strategy to bridge the wide gap between national zakat potential (±IDR 327 trillion) and its actual collection. This study aims to analyze digital zakat transformation strategies in accelerating poverty alleviation in Indonesia within the smart society era. The research method employed is a descriptive qualitative approach using a library research method, analyzing literature from the 2020-2025 period sourced from digital databases. The results indicate that the implementation of digital technologies such as fintech platforms, blockchain, and QRIS significantly enhances transparency, accountability, and muzakki trust, while accelerating fund distribution time by up to 50%. Digital-based productive zakat strategies through MSME empowerment have proven effective in increasing mustahik's average income by up to 100%, facilitating the transformation of mustahik into independent muzakki. This study concludes that digital zakat transformation serves as a primary catalyst for achieving the first pillar of the Sustainable Development Goals (SDGs) (No Poverty), although its success requires national regulatory harmonization and the strengthening of technological infrastructure in rural areas.

Poverty remains a fundamental problem rooted in Indonesia's socio-economic structure, despite various mitigation schemes implemented by the government. As the country with the largest Muslim population in the world, Indonesia has enormous sharia-based public financial resources, where zakat should be positioned as a strategic means of wealth distribution. However, in reality, this instrument is often not optimally realised in national macroeconomic policy. This study aims to analyse Monzer Kahf's Islamic economic thinking on zakat and its relevance to poverty alleviation efforts in Indonesia. The research method used is qualitative with a library research approach through a systematic literature review of Monzer Kahf's fundamental works and various studies related to national zakat management, which are analysed descriptively and analytically to connect the theoretical framework with the socio-religious dynamics in Indonesia.  

This study examines the effectiveness of zakat distribution during the leadership of Umar bin Abdul Aziz and its relevance to poverty alleviation models in Indonesia. Structural poverty remains a persistent challenge in Indonesia’s economic development, requiring systematic and sustainable solutions. Within Islamic economic thought, zakat functions not only as a religious obligation but also as a fiscal instrument capable of promoting social welfare and economic independence. This research employs a qualitative approach through historical and literature study methods, analyzing classical Islamic governance practices alongside contemporary zakat management in Indonesia. The findings reveal that the success of zakat distribution under Umar bin Abdul Aziz was supported by centralized governance, strong institutional reform of Baitul Mal, strict supervision, and integrity-based leadership, resulting in effective wealth redistribution and significant poverty reduction. The study further finds that productive zakat distribution, institutional integration, regulatory reinforcement, and digital transparency are crucial elements for enhancing the performance of zakat institutions in Indonesia. The implications suggest that strengthening governance, accountability, and productive empowerment programs can transform zakat into a strategic socio-economic policy instrument capable of addressing structural poverty in a sustainable manner.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

This aims to examine and analyze the implementation of the cash transfer assistance policy in efforts to alleviate poverty in Moodu Urban Village, Kota Timur Subdistrict, Gorontalo City. This research employed a qualitative method. The findings indicate that the effectiveness of the policy implementation has not yet been optimal due to several influencing factors: (1) policy standards and target groups have not been fully accurate; (2) available resources, both in terms of the number of implementing personnel and supporting infrastructure, remain very limited; (3) inter-organizational communication and activity reinforcement are less effective; (4) the characteristics of implementing agents reveal that some officers do not yet fully understand the procedures and mechanisms for distributing cash transfer assistance; (5) the economic, social, and political environment of the Moodu community, which is predominantly engaged in the informal sector, presents additional challenges in ensuring program effectiveness; and (6) the attitudes of implementers, in the absence of continuous guidance and periodic supervision, increase the potential for administrative errors and inaccurate distribution.

Extreme poverty represents a complex, multidimensional challenge in development that demands cohesive policy integration among various governmental tiers. The Indonesian government has established goals to expedite the eradication of extreme poverty via diverse national frameworks and initiatives, yet their success hinges on the extent of alignment between central and regional policies in areas such as strategic planning, financial allocation, and program execution. This research seeks to examine the patterns of policy alignment between central and local authorities, pinpoint the obstacles encountered during execution, and develop recommendations for enhancing collaborative efforts in tackling extreme poverty. Employing a qualitative descriptive methodology, data collection involved reviewing policy documents and development plans, complemented by discussions with relevant stakeholders at the regional level. The outcomes reveal that efforts toward policy synchronization have been made by merging national and local planning frameworks and initiatives, although persistent issues persist, such as inconsistencies in poverty statistics, jurisdictional overlaps among sectors, and inadequate inter-institutional cooperation. These insights imply that effective reduction of extreme poverty necessitates reinforced strategies for policy alignment, unified data platforms, and the adoption of cross-level and cross-sector partnership models to guarantee that measures are precisely directed, enduring, and impactful in diminishing the population affected by extreme poverty.

This study aims to apply the Principal Component Analysis (PCA) method to identify the main factors influencing poverty in North Sumatra Province. Poverty rates in this region show significant variations among districts and cities, influenced by differences in social, economic, educational, and basic facility availability. The data used in this study include eleven indicators related to population, education, health, access to basic services, and economic conditions. All variables were initially normalized to ensure they had comparable scales, then PCA feasibility tests were conducted using MSA, KMO, and Bartlett's test, which indicated that the data were eligible for further analysis. The results of the PCA revealed three main components explaining a total of 69.91 percent of the variation. The first component represents regional population and economic factors, with the largest contributions coming from population density, open unemployment rate, and per capita expenditure. The second component reflects household living conditions, such as access to clean water, adequate sanitation, and health complaints. The third component describes the educational dimension through indicators of the population aged at the primary and secondary school levels. These findings indicate that poverty in North Sumatra is influenced not only by economic factors but also by the quality of basic services and education levels among the population. Therefore, this research is useful for policymakers at the central and regional government levels to consider the factors influencing the increase in poverty in North Sumatra.

This study examines the influence of income inequality and poverty on the prevalence of stunting in ten provinces across Sumatra Island during the 2016–2024 period. Using a panel dataset of 90 observations and applying a Fixed Effect Model, the results indicate that both income inequality—measured by the Gini Ratio—and poverty have a positive and significant effect on stunting. The Gini Ratio shows a coefficient of 1.46 (p = 0.0002), while poverty records a coefficient of 6.28 (p = 0.0140), jointly explaining 52% of the variation in stunting prevalence. Spatial analysis further supports these findings, with Moran’s I values exceeding 0.40, suggesting strong spatial autocorrelation and clustering of high-stunting regions. High-risk clusters—Aceh, Jambi, and Bengkulu—are characterized by Gini Ratios above 0.33 and poverty levels exceeding 12%, reinforcing the existence of an intergenerational poverty–stunting trap, particularly influenced by urban–rural disparities (rural 53.3% vs urban 34.9%). The study highlights that specific nutrition interventions such as supplementary feeding, micronutrient programs, and breastfeeding promotion are insufficient without accompanying structural reforms addressing economic inequality. Therefore, multisectoral convergence strategies are required, including expanded conditional cash transfers, progressive local taxation reforms, nutrition-focused social assistance, and universal basic infrastructure to accelerate stunting reduction toward the 14.2% target by 2029.

Income inequality and poverty continue to be major challenges in Indonesia's industrial areas, especially in DKI Jakarta, West Java, and Banten, although minimum wage policies continue to be developed as a form of protection for low-income workers. These policies theoretically serve as an instrument for income redistribution and improvement of labor welfare, but their effectiveness in reducing inequality and reducing poverty rates is still questionable, especially in areas with highly industrialized economic structures. This study aims to analyze the influence of income inequality, poverty rate, economic growth, and unemployment rate on the dynamics of the provincial minimum wage in the 2016–2023 period. The study used secondary data obtained from the Central Statistics Agency and analyzed using panel data regression to obtain a comprehensive empirical picture of the factors determining the minimum wage. The test results show that the Fixed Effect Model is the most suitable model for capturing variations between provinces and between times. Key findings reveal that poverty levels and economic growth have a significant influence on changes in the minimum wage, while income inequality and unemployment rates have no significant influence. The conclusion of the study emphasizes that the minimum wage policy is not effective enough in reducing income inequality and reducing poverty without the expansion of the formal sector, improving the quality of the workforce, and distributing economic growth more evenly between industrial areas.

Poverty is still a major problem in regional economic development in Jambi Province, although economic growth has been relatively stable in recent years. This condition shows that economic growth has not been fully followed by an equitable distribution of development results. This study aims to analyze the influence of economic growth and income inequality on the poverty rate in Jambi Province. The research uses a quantitative approach with district/city panel data for the 2015–2024 period sourced from the Central Statistics Agency. The analysis was carried out using the panel data regression method to test the relationship between economic growth variables, income inequality, and poverty levels. The results of the study show that economic growth measured through the growth rate of Gross Regional Domestic Product (GDP) has a negative effect on the poverty rate, meaning that increasing economic growth can reduce the number of poor people. On the other hand, income inequality measured by the Gini Ratio has a positive effect on poverty levels, which means that the higher the income inequality, the greater the poverty rate. These findings indicate that poverty reduction strategies not only require sustainable economic growth, but must also be accompanied by income equity policies so that the benefits of development can be felt more inclusively by all levels of society.

This study examines the strategic role of Islamic banking in expanding financial inclusion and alleviating poverty in Indonesia. Using a qualitative literature review methodology, this research analyzes academic literature, regulations, and official reports to identify the contributions, challenges, and optimization strategies of Islamic banking. Findings indicate that Islamic banking provides financing alternatives aligned with Islamic values through products such as mudharabah, musyarakah, and murabahah, enabling low-income communities to access capital without interest burdens. The management of Islamic social funds including zakat, infaq, sadaqah, and waqf strengthens social capital for micro-enterprise empowerment. However, significant barriers exist, including low Islamic financial literacy, limited access in remote areas, and suboptimal regulations. This study recommends enhancing financial literacy, developing technology-based inclusive products, strengthening supportive regulations, and fostering multi-stakeholder collaboration to optimize the role of Islamic banking as an instrument for inclusive and equitable economic development in Indonesia. The research contributes to the theoretical understanding of Islamic banking's potential in addressing financial exclusion and poverty while providing practical insights for policymakers and banking institutions.

This study aims to analyze the effect of inflation, Gross Regional Domestic Product (GRDP), and the Provincial Minimum Wage (PMW) on the poverty line in 10 provinces in Indonesia. The research employs a quantitative approach using panel data regression analysis. The data utilized in this study consist of panel data covering a 10-year period, from 2015 to 2024, obtained from the Provincial Offices of Statistics and Statistics Indonesia (Badan Pusat Statistik/BPS). To examine the relationship between variables across regions and over time, the fixed effect model is applied in the analysis. The results of the analysis indicate that inflation and GRDP do not have a statistically significant effect on the poverty line in the 10 provinces examined. These findings suggest that although inflation and GRDP are important macroeconomic indicators, their variations during the study period were not sufficient to directly influence changes in the poverty line across the provinces. In contrast, the Provincial Minimum Wage (PMW) is found to have a significant effect on the poverty line. This result implies that increases in the minimum wage play a crucial role in improving household purchasing power, which can contribute to reducing poverty levels. Overall, the findings highlight the importance of wage policy as an effective instrument for poverty alleviation at the provincial level. While broader economic growth and price stability remain important, policies related to minimum wage determination appear to have a more direct and measurable impact on poverty conditions. Therefore, policymakers are encouraged to consider wage policies alongside other macroeconomic strategies to achieve more effective poverty reduction outcomes.

The main issues identified in this study include mistargeting of beneficiaries, weak inter-agency coordination, low community participation in the verification process, and a tendency among recipients to rely on cash assistance in a consumptive manner. This research analyzes the scenario planning of the Cash Transfer Program (BLT) in reducing poverty in Surabaya City, particularly in Krembangan District. The program is implemented based on Surabaya Mayor Regulation Number 130 of 2023, which serves as the legal foundation for the regional BLT scheme. Using the Scenario Planning TAIDA model (Tracking, Analysing, Imaging, Deciding, and Acting) by Mats Lindgren and Bandhold (2003) as the analytical framework, this study examines the extent to which planning, decision-making, and implementation processes are able to respond to the socio-economic dynamics of the community. Employing a descriptive qualitative method, data were collected through interviews, observations, and documentation. The findings indicate that BLT plays a significant role in supporting low-income households and reducing poverty rates; however, challenges persist, including limited community engagement, weak inter-agency coordination, and non-productive use of assistance. The scenario planning approach is considered effective in helping the government design more adaptive, participatory, and sustainable policy strategies. It is expected that the BLT program will not only serve as a short-term intervention but also become a strategic instrument in promoting independence and improving the welfare of poor communities in Surabaya.

Latar Belakang: Pendekatan kewirausahaan sosial yang diterapkan dalam proyek ini mencerminkan sinergi antara inovasi, kepedulian sosial, dan keberlanjutan lingkungan. Dengan memberdayakan masyarakat lansia untuk menciptakan produk yang bermanfaat, kegiatan ini berkontribusi pada tercapainya beberapa tujuan pembangunan berkelanjutan (SDGs), seperti pengurangan limbah, pengentasan kemiskinan, dan pemberdayaan komunitas. Tujuan: Mengurangi limbah plastik serta meningkatkan keterampilan dan kemandirian ekonomi lansia melalui pembuatan gantungan kunci berbahan dasar limbah plastik. Metode: Pemberdayaan Masyarakat ini melibatkan warga Panti Perlindungan dan Rehabilitasi Sosial Lanjut Usia “Budi Sejahtera” Martapura. Kegiatan dilaksanakan melalui pendekatan yang komprehensif berupa pelatihan partisipatif dengan tahapan pengumpulan bahan baku dari masyarakat, penyediaan peralatan, pembentukan tim kerja, serta pelatihan kewirausahaan yang meliputi edukasi kepada lansia mengenai pentingnya daur ulang sampah, proses pemilahan, pembersihan, pemotongan, pencampuran resin, pencetakan, hingga finishing produk gantungan kunci. Hasil: Adanya peningkatan keterampilan dalam mengolah limbah menjadi produk bernilai, serta terbukanya peluang ekonomi melalui penjualan produk. Dari sisi sosial, kegiatan ini memperkuat rasa kebersamaan dan meningkatkan kepercayaan diri lansia, sementara dari sisi lingkungan, berkontribusi nyata dalam pengurangan sampah plastik dan pencemaran lingkungan. Kesimpulan: kegiatan sociopreneur ini membuktikan bahwa melalui pendekatan inovatif berbasis partisipasi, lansia dapat diberdayakan untuk menghasilkan karya yang bermanfaat, ramah lingkungan, sekaligus bernilai ekonomi.

This study aims to analyze the influence of the General Allocation Fund (DAU), the Special Allocation Fund (DAK), and the Gross Regional Domestic Product (GRDP) on the poverty rate in North Sumatra Province. The method used is multiple linear regression analysis using secondary data from 2004 to 2023. The results show that the DAU has a negative and significant effect on the poverty rate, meaning that the greater the DAU allocation, the lower the poverty rate in the province. Conversely, the DAK has a positive and significant effect on the poverty rate, indicating that an increase in DAK is actually followed by an increase in the poverty rate. Meanwhile, GRDP shows a negative effect on the poverty rate, but the effect is not significant. The coefficient of determination obtained shows that the DAU, DAK, and GRDP are able to explain variations in the poverty rate in North Sumatra Province. Simultaneously, the test results show that all three variables have a significant effect on the poverty rate. These findings suggest the importance of proper management of fund allocation and optimization of regional economic sectors to reduce poverty effectively.

The purpose of this study is to evaluate income inequality and poverty as key indicators of uneven economic development in North Sumatra Province in 2024. This study analyzed various secondary sources, including BPS reports, SINTA-indexed national journals, and regional economic policy publications. The results show that regencies in the west coast and mountainous regions of North Sumatra tend to be lagging behind, while urban areas such as Medan and Deli Serdang have the highest concentration of economic growth, meaning that income inequality remains at a moderate-high level. The finding that economic progress remains uneven is reinforced by the fact that the poverty rate remains higher than the national average. From the results of this study, not only economic factors influence inequality and poverty, but also structural factors such as infrastructure access, human labor quality, and regional fiscal inequality. Therefore, more inclusive and integrated policies are needed to address inequality and improve welfare across all provinces.

This study aims to analyze the effect of welfare inequality on poverty levels on the island of Sumatra. Welfare inequality is measured using the Gini Index, while poverty levels are measured by the percentage of the poor population at the provincial level. This study uses a quantitative method with a panel data approach covering ten provinces on the island of Sumatra during the period 2020–2024. The analytical techniques used include panel data regression with fixed and random effects models, as well as classical assumption testing to ensure model validity. The results show that welfare inequality has a positive and significant effect on poverty levels, meaning that increasing inequality in income distribution tends to increase the number of poor people. This finding indicates that uneven economic growth can worsen the welfare of the community, especially low-income groups. Therefore, more inclusive and sustainable development policies are needed, particularly in increasing equitable access to education, health services, and productive employment opportunities to reduce inequality and poverty levels on the island of Sumatra.

Poverty remains a central issue in regional development, particularly in areas with pronounced economic disparities such as South Sumatra Province. This study aims to examine the effect of Gross Regional Domestic Product (GRDP) on the poverty rate across regencies and cities in South Sumatra during the period 2020–2024. A quantitative research approach was employed using panel data regression analysis, supported by descriptive statistics and classical assumption tests. The empirical findings indicate that GRDP has a negative and statistically significant effect on poverty, suggesting that an increase in regional economic capacity contributes to reducing poverty levels. However, the relatively small coefficient signifies that economic growth has not been fully inclusive and is influenced by the structural characteristics of each region. The Fixed Effect Model was identified as the most appropriate specification, highlighting the existence of heterogeneity across districts that shapes the relationship between GRDP and poverty. These results underscore the need for development strategies that not only promote economic growth but also ensure an equitable distribution of its benefits through the reinforcement of labor-intensive sectors, enhancement of human capital, and strengthening of local economic structures. The study provides valuable insights for regional policymakers in designing more effective and sustainable poverty alleviation strategies.

Poverty is one of the most difficult economic problems to solve. This problem occurs in all countries. Among the causes of poverty are poor human resources, a low quality of life, a rising unemployment rate, and a decrease in job availability each year, as well as wages that do not match living costs. This is not only due to low human resources; the government also plays a crucial role in this issue. The poverty rate is unavoidable, so an appropriate solution is needed to address this issue. One step to reducing poverty is to analyze which economic instruments can be optimized, especially in the Sidoarjo region. The poverty rate in Sidoarjo is quite high. The open unemployment rate in Sidoarjo ranks third in East Java province. Therefore, the author was interested in conducting this research. This study aims to determine the effect of the distribution of zakat, infaq, and alms (ZIS) funds, GRDP, and open unemployment on the poverty rate in Sidoarjo in 2013-2023. This study uses a quantitative method with multiple linear regression analysis. The data processing tool used is SPSS. The results of the T test indicate that the distribution of ZIS funds has a significant effect on the poverty rate, while GRDP and open unemployment do not have a significant effect on the poverty rate partially. The F test shows that the distribution of ZIS funds, inflation, and GDP have a significant effect on the poverty rate simultaneously in the period 2013-2023. The limitation of this study is the use of variables that affect the poverty rate, so that future researchers can add or change these variables with other variables related to poverty.