Publication Search

This study aims to analyze the spatial pattern of poverty in Gorontalo Province in 2024 using global and local spatial autocorrelation approaches. The data used are the percentages of the poor population in each regency/municipality, obtained from the BPS. The analyses include descriptive statistical analysis, the Moran's Index test for global spatial autocorrelation, and the Local Indicators of Spatial Association (LISA) for local autocorrelation. The results show that poverty in Gorontalo Province tends to be unevenly distributed and exhibits a significant spatial pattern. The Moran's Index indicates positive spatial autocorrelation, where areas with high poverty levels tend to be adjacent to other areas with similarly high poverty levels. The LISA results identify Bone Bolango Regency as a High-Low area, meaning it has a high poverty rate but is surrounded by areas with low poverty rates. These findings highlight the importance of spatial approaches in formulating more targeted poverty alleviation policies.

The background of this research is based on the enormous potential of zakat, infaq, shadaqah, and waqf (ZISWAF) as Islamic social finance instruments which, if managed optimally and sustainably, can play a significant role in reducing poverty and promoting comprehensive economic independence among communities amid the ongoing challenges of social inequality. The purpose of this study is to explain the strategic function of ZISWAF in strengthening the community’s economy while emphasizing the urgency of professional, transparent, and targeted management for the improvement of public welfare at large. The research method used was library research, evaluating various literature sources such as books, scientific journals, and relevant previous research reports. The collected data was then analyzed using a qualitative descriptive approach to provide an in-depth understanding of the mechanism of economic empowerment through ZISWAF. Research findings show that ZISWAF plays a crucial role in improving economic welfare through a paradigm shift from consumptive assistance to productive assistance programs. Management oriented towards sustainability and transparency has proven effective in promoting economic ind ependence among low-income communities and significantly reducing poverty rates. The implication of this study confirm that strengthening regulations, digitizing management, and improving public literacy regarding ZISWAF are essential. Management institutions must continue to improve their accountability in order to increase public trust, so that ZISWAF can become a key development in the future.

This student aims to determine how BPNT contributes community in Sipatana District, Gorontalo City. Method used is qualitative findings show that the implementation of BPNT in Sipatana District, particularly in Molosipat U and Tanggikiki sub-districts, has been carried out in accordance with the statutory regulations of 2019 regarding the indicators of power distribution and actor strategies, without any personal intervention in determining beneficiary eligibility. Regarding the characteristics of the implementing institutions, coordination among agencies from the district level to RT/RW has run well and has been conducted transparently and participatively to ensure that the assistance is well-targeted. However, on the indicators of implementer compliance and responsiveness, several obstacles are still found such as delays in disbursement, a lack of direct socialization to the community, and slow responses from the sub-district office in handling complaints from beneficiary families (KPM). These conditions lead to a lack of optimal understanding among beneficiaries regarding the mechanism of aid distribution. Additionally, the impact of BPNT on improving beneficiary welfare remains consumptive in nature and has not fully encouraged economic independence among poor households. Therefore, improvements in service effectiveness, two-way communication, and periodic evaluation are required to enhance BPNT’s contribution in reducing poverty rates and achieving sustainable community welfare.

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.

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.

The increasing poverty rate in West Bandung Regency has encouraged BAZNAS to introduce the Z-Mart programme, which provides business capital assistance as an effort to improve community income. The effectiveness of the programme is assessed based on its ability to achieve predetermined targets and comply with organisational regulations. This study adopts a quantitative approach, involving 151 mustahik as the population, with 61 mustahik selected as the sample to complete the questionnaire. The objective of this study is to evaluate the effectiveness of zakat fund distribution on mustahik income in the Z-Mart programme implemented by BAZNAS of West Bandung Regency. Data analysis using SPSS version 25.0 indicates that the independent variable (X) contributes 59.8 per cent, and that the effectiveness of zakat distribution has a significant effect on mustahik income (R-square = 0.357). Regression analysis reveals that a one-point increase in distribution effectiveness contributes to a positive increase of 0.814 points in mustahik income. The t-test results show that the calculated t-value (5.725) exceeds the critical t-value (1.671), indicating acceptance of the alternative hypothesis and rejection of the null hypothesis. Therefore, this study concludes that the distribution of zakat funds through the Z-Mart programme is effective in improving the income level of mustahik in BAZNAS of West Bandung Regency.

The purpose of this study is to investigate the factors that lead to poverty in different Indonesian regions between 2018 up to 2024. The Gross Regional Domestic Product per capita, the Human Development Index, and the Open Unemployment Rate are the independent factors used in this study, whereas poverty levels are the dependent variable. The Central Statistics Agency provided secondary data that was used in a quantitative manner. Using EViews 12 software, panel regression techniques were used to process the data. The study's conclusions show that, at a significance level of less than 0.05, economic and human development factors simultaneously significantly affect poverty rates across Indonesian regions. The coefficient of determination indicates that the variables in the model can account for the majority of the variations in poverty levels. These findings demonstrate how important a region's economic status and level of human development are to efforts to reduce poverty. It is anticipated that this research will help the government develop more effective and long-lasting methods for reducing poverty.

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.

The Family Hope Program (PKH) is one of the main instruments of social protection policies in Indonesia that aims to reduce poverty through conditional social assistance. However, in its implementation, this program still faces various problems related to the accuracy of the aid distribution targets, especially in urban areas such as Jagakarsa District, South Jakarta. This study aims to analyze various problems in the distribution of PKH social assistance, assess their impact on the effectiveness of poverty alleviation, and identify strategies that can ensure targeted assistance. The approach used is qualitative descriptive with a case study method, through data collection techniques in the form of in-depth interviews, participatory observations, and documentation of PKH companions, Beneficiary Families (KPM), and village officials in Jagakarsa District. The results of the study show that although PKH has provided real benefits for most KPMs, its implementation is still constrained by inaccurate data, limited capacity of companions, low digital literacy, and weak coordination between agencies. On the other hand, targeted distribution of assistance has been proven to increase access to education and health, improve household economic conditions, and encourage behavioral changes towards independence. Therefore, an integrated strategy is needed including strengthening the capacity of social companions, digitizing the distribution system, active community participation, and local culture-based empowerment education to ensure the long-term effectiveness of PKH in reducing poverty rates.

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.

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.

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.

Poverty is a complex and multidimensional problem. It can be characterized as a condition in which there is a lack of aspects related to the quality of life. North Sumatra Province is known as one of the richest provinces in Indonesia with abundant natural resources and agricultural products such as petroleum, natural gas, palm oil, rubber, and forest products used as industrial materials. However, it still ranks among the provinces with the highest poverty rates in Indonesia. This study aims to analyze the effect of unemployment rate, economic growth, and Human Development Index (HDI) on poverty in 14 districts/cities of North Sumatra Province during the 2016–2023 period. The analytical method used is panel data regression with the Fixed Effect Model (FEM) approach. The results of this study indicate that simultaneously, the three independent variables have a significant effect on poverty. Partially, unemployment has a positive and significant effect, while economic growth and HDI have no significant effect on poverty.

This study aims to analyze the effect of the distribution of Zakat, Infak, and Sadaqah (ZIS) funds, economic growth, unemployment rate, and Regional Original Revenue (PAD) on the poverty rate in West Sumatra Province during the period 2020–2024. The data used are secondary data obtained from BAZNAS, BPS, and the Directorate General of Fiscal Balance (DJPK), covering 12 regencies/cities in West Sumatra Province. This study employs panel data regression analysis using EViews 12 software to examine the relationships among the variables. The results indicate that, partially, the distribution of ZIS funds and PAD have no significant effect on the poverty rate. In contrast, economic growth and unemployment rate have a negative and significant effect on the poverty rate. Simultaneously, all four independent variables are found to have a significant influence on the poverty rate. The coefficient of determination (Adjusted R²) is 0.123, indicating that 12.30% of the variation in the poverty rate can be explained by the variables in the study, while the remaining 87.7% is influenced by factors outside the model. The study provides policy implications suggesting that optimizing ZIS management, promoting inclusive economic growth, expanding employment opportunities to reduce unemployment, and utilizing PAD more effectively are crucial strategies for local governments and relevant institutions to effectively reduce the poverty rate in West Sumatra.

Poverty in the Special Region of Yogyakarta (DIY) remains a significant issue despite a decline in poverty rates in recent years. This study aims to identify the factors influencing poverty in DIY from social, economic, and structural perspectives, as well as to evaluate policies that can address this issue. The method used in this research is a literature review through a Systematic Literature Review (SLR), examining various relevant sources on poverty in DIY and the poverty alleviation policies implemented in the region. The results of the study indicate that poverty in DIY is caused by several main factors, such as income inequality, low-quality education, low skill levels among the population, and limited access to business capital and productive resources. One policy that has proven effective in reducing poverty is the provision of access to capital and productive resources through microcredit schemes and agrarian reform. These programs not only provide capital but also enhance the ability of the poor to manage their businesses. These findings offer important insights into understanding poverty in DIY and suggest that policies supporting the empowerment of the poor through education, skills, and economic access can be an effective solution to reduce poverty in the long term..

Education serves as a fundamental pillar in national development, as it not only enhances individual capacities but also improves overall social welfare. Despite this crucial role, Indonesia continues to face disparities in both access to and quality of education among its regions, as can be seen from variations in school participation indicators and socio-economic backgrounds. To analyze these differences, this study applied the K-Means Clustering method to categorize provinces in Indonesia using six variables: School Participation Rate, Net Enrollment Rate, Gross Enrollment Rate, Poverty Rate, High School Ratio, and Teacher Ratio. To identify the most suitable number of clusters, three validation indices were utilized, namely Dunn Index, C-Index, and Davies-Bouldin Index, with cluster counts tested from three to six. The results indicated that the best clustering solution was five clusters, as reflected in the highest Dunn Index (0.1569), lowest C-Index (0.0321), and lowest Davies-Bouldin Index (0.5062). The robustness of this clustering was further supported by the ratio between within-cluster and between-cluster standard deviation (S(w)/S(b) = 0.33). Each cluster revealed unique characteristics of education and socio-economic conditions, where Cluster 4 displayed the most favorable outcomes with high participation and low poverty levels, whereas Cluster 5 highlighted the weakest performance across all observed indicators.

This study aims to analyze the influence of life expectancy, education, economic growth, and unemployment on the poverty rate in Probolinggo Regency during the period 2010–2023. Poverty is a multidimensional issue that reflects not only economic conditions but also social and demographic aspects, making it essential to examine various determinants simultaneously. The research employs a quantitative method with multiple linear regression analysis, using secondary data obtained from the Central Bureau of Statistics (BPS). By applying this approach, the study seeks to provide a comprehensive understanding of the extent to which these variables contribute to changes in poverty levels. The results reveal that education has a significant and negative effect on poverty, indicating that improvements in educational attainment can directly reduce poverty rates. Better access to quality education equips individuals with skills and knowledge that enhance their employment opportunities and income levels, thereby breaking the cycle of poverty. In contrast, life expectancy, economic growth, and unemployment are found to have no statistically significant impact on poverty levels during the observed period. This suggests that while these variables are important indicators of social and economic well-being, their influence on poverty reduction in Probolinggo Regency is not as strong or direct as that of education. The findings highlight the critical role of education as a key driver in poverty alleviation. They suggest that government policies focusing on expanding access to education, improving learning quality, and ensuring equitable opportunities across different social groups will be more effective in addressing poverty than strategies relying solely on economic growth or labor market interventions. Therefore, this research is expected to serve as a valuable reference for local governments in formulating more targeted, evidence-based, and sustainable development policies that prioritize education as the foundation for long-term poverty reduction.

Poverty remains a structural issue and a major challenge in economic development, including in Bali Province, particularly in the strategic Sarbagita region (Denpasar, Badung, Gianyar, and Tabanan). This region plays a significant role in supporting regional economic growth but still faces socioeconomic disparities, including a relatively high poverty rate. Several fundamental factors—such as limited investment in productive sectors, high unemployment rates, low quality of education, and uneven economic growth—are the primary causes of this issue. Targeted government expenditure policies and investment strategies directed toward areas with the potential to generate employment are expected to reduce poverty levels. This study aims to analyze the effect of Special Allocation Funds (DAK) and investment on employment absorption and poverty levels in the Sarbagita region of Bali Province from 2009 to 2023. The data used in this research are secondary data obtained from the Revenue Department, the Central Bureau of Statistics (BPS) in the Sarbagita Regional Area, and the Central Bureau of Statistics (BPS) of Bali Province. The analytical tool used in this study is path analysis with the assistance of SPSS software. The results indicate that DAK does not have a positive and significant effect on employment absorption in the Sarbagita region. Investment has a positive and significant effect on employment absorption. Employment absorption has a negative and significant effect on poverty levels in the region. DAK does not have a significant effect on poverty through employment absorption, whereas investment does have a significant effect on poverty through employment absorption in the Sarbagita region.