Publication Search

This study aims to analyze the factors that influence economic growth. Economic growth is an important indicator used to measure the success of a country's development because it reflects the increasing capacity of an economy to produce goods and services. This research uses a descriptive approach by examining several factors affecting economic growth, including investment, labor, unemployment, and international trade. The results show that investment plays a significant role in increasing production capacity and encouraging the development of industry and infrastructure. Labor also contributes to economic productivity through the production of goods and services. On the other hand, a high unemployment rate can hinder economic growth because part of the labor force is not absorbed into productive activities. In addition, international trade through export and import activities can support economic growth by expanding markets for domestic products and fulfilling the need for raw materials and technology in the production process. Therefore, economic development policies need to consider these factors to achieve sustainable economic growth and improve public welfare

The empowerment of rural communities is a strategic effort to improve the well-being and economic self-reliance of communities in rural areas. One of the instruments developed by the government to support this objective is the establishment of Village-Owned Enterprises (BUMDes) as economic institutions managed by the village and the community in a participatory manner. This study aims to analyze the role of BUMDes in Semaran Village, Pauh Subdistrict, Sarolangun Regency, in empowering the rural community through the management of local potential, the development of productive business units, and the increase in community income. The research method used is a qualitative descriptive approach with data collection techniques through observation, interviews, and analysis of various business programs run by BUMDes. The results indicate that the Semaran Village Government plays a crucial role as a facilitator, initiator, mentor, and supervisor in the management of BUMDes Maju Bersama. The village government is involved in providing initial capital, institutional development, and training to enhance community capacity. Supporting factors for success include Village Fund support, visionary leadership from the Village Head, and active community participation. The main challenges faced include limited capital, a lack of business innovation, low human resource capacity, and limited market access. However, with effective and sustainable management, BUMDes have the potential to serve as a driving force for rural economic development as well as a means of inclusive and sustainable community empowerment.

This study examines the dynamic progression of Regional Original Revenue (PAD), the realization of Domestic Investment (PMDN), the size of the labor force, infrastructure availability, and their implications for economic growth across 11 regencies and municipalities in Jambi Province over the period 2017–2023. The analysis employs a panel data regression model, utilizing a combination of time-series and cross-sectional data sourced from Statistics Indonesia and the Regional Investment and One-Stop Integrated Services Office. The empirical findings reveal that PAD experienced a growth rate of 5.39 percent. In contrast, PMDN and the labor force displayed fluctuating patterns, with percentage changes of 905.97 percent and 1.68 percent, respectively. Infrastructure development and economic growth recorded increases of 0.51 percent and 4.04 percent. Further analysis demonstrates that PAD, labor force participation, and infrastructure exert a positive and statistically significant influence on economic growth. Conversely, PMDN does not exhibit a statistically significant effect on regional economic growth within the observed period.

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.

The aim of this research is to develop a new strategic model for Indonesian border defense by recalibrating the Lykke Framework. It assesses the relevance of the traditional ends–ways–means framework in addressing modern border threats and proposes adding a risk pillar to improve adaptability and multi-domain integration. Using a Systematic Literature Review (SLR), the study examines policy developments, defense doctrines, surveillance technologies, and geopolitical dynamics influencing Indonesian border security. Literature was sourced from international and national databases (ScienceDirect, SpringerLink, SINTA, BRIN, etc.) for publications between 2018–2025. The findings reveal that Indonesia's border regions face complex threats such as sovereignty violations, transnational crime, cyberattacks, and ideological penetration. These challenges highlight the inadequacy of the traditional ends–ways–means framework without incorporating a fourth risk pillar. The study introduces the New Lykke Model, which enhances the strategic framework for integrated military management, considering geopolitical, operational, socio-cultural, and environmental risks. This model offers practical guidance to stakeholders like the Indonesian National Armed Forces (TNI), Bakamla, and the National Police (Polri), aiming to improve border security operations and policy planning. The study is among the first to adapt the Lykke Model to Indonesian border defense, incorporating an integrated risk pillar for a more comprehensive security strategy.

The digital economy and e-commerce are rapidly transforming global markets, driving efficiency, inclusivity, and innovation. However, these developments also produce unintended consequences, particularly regarding environmental sustainability. This study aims to examine the relationship between digital transformation, the expansion of e-commerce, and their impact on carbon emissions and socio-economic outcomes. Using bibliometric analysis and VOS Viewer to map and analyze research trends from leading academic databases, this paper identifies key themes, knowledge clusters, and research gaps in the intersection of digital economy, logistics, and sustainability. The findings indicate that technological advances foster economic growth and greater accessibility but simultaneously contribute to rising energy consumption, logistics intensity, and carbon footprints. These results highlight the dual nature of digitalization as both a catalyst for inclusive development and a driver of environmental pressures. The study argues that an integrated policy framework is crucial to leverage the benefits of digital transformation while mitigating its environmental costs. It emphasizes the importance of green innovation, sustainable infrastructure investment, and inclusive e-commerce practices as key strategies for ensuring long-term socio-economic resilience. Ultimately, the paper contributes to the policy discourse by positioning innovation, inclusivity, and environmental stewardship as complementary rather than competing forces, thereby offering a pathway for future digital economy development that is both equitable and sustainable.

Taxes are the largest contributor to state revenue in financing national development. Tax compliance is the act of the taxpayer in fulfilling their tax obligations following the provisions of the legislation and tax implementation regulations in force in a country. Efforts made by the government to improve taxpayer compliance are by reforming tax laws and the tax administration system. This study aims to determine the effect of tax knowledge, tax sanctions, the benefit of the taxpayer identification number, and modern tax administration systems on personal taxpayer reporting compliance at the tax office in North Badung. The population of this research is personal taxpayers at the North Badung Tax Office Services, which is based on the data of individual taxpayers, as many as 95,542 people. The sample in this study consisted of 76 individual taxpayers who reported compliance, selected using a non-probability sampling method with an accidental sampling technique. The data analysis technique used is multiple linear regression analysis. The results showed that the tax knowledge variable did not affect personal taxpayer compliance, while the tax sanctions variable, the benefit of the taxpayer identification number, taxpayer awareness, and the modern tax administration system had a positive effect on personal taxpayer reporting compliance. Further research can expand on this study by incorporating other variables that, in theory, influence taxpayer reporting compliance, such as tax services.

This study aims to empirically analyze how the implementation of Green Supply Chain Standards and halal certification affects the competitiveness of Food and Beverage SMEs in Padang City. Sustainable economic development requires the integration of environmental and ethical aspects in the supply chain, especially in the food sector. In Padang City, Food and Beverage SMEs are the driving force of the economy, facing a dual challenge of meeting consumer demands for halal products and environmentally friendly practices. This study uses a quantitative approach with a survey method. Primary data were collected through questionnaires from a sample of owners or managers of food and beverage SMEs operating in Padang City. Data management is carried out using regression analysis or Structural Equation Modeling to test the hypothesis of the effect of independent variables GSCM and Halal Certification on the dependent variable (SME Competitiveness). This research is expected to demonstrate that the implementation of GSCM positively affects the competitiveness of SMEs, and halal certification also has a significant positive impact on competitiveness, especially in expanding market access and increasing Muslim consumer trust.

This study aims to determine the partial and simultaneous influence between the variables of labor force, the agricultural sector, economic growth, and the industrial sector on the open unemployment rate in Aceh Province in the 2014–2023 period. The research method uses a quantitative approach by utilizing secondary data obtained from related agencies. The results showed that the labor force variable (X1) had a significant influence on the open unemployment rate with a significance value of 0.000 < 0.05. The agricultural sector variable (X2) was also proven to have a significant effect with a significance value of 0.002 < 0.05. Furthermore, economic growth (X3) has a significant influence on open unemployment with a significance value of 0.004 < 0.05. The industrial sector variable (X4) also showed a significant influence on the open unemployment rate in Aceh Province with a significance value of 0.015 < 0.05. Overall, these results indicate that employment dynamics and regional economic structure play an important role in determining the open unemployment rate during the study period. These findings provide a basis for policymakers to formulate more effective economic development strategies in reducing unemployment in the future.

Fifth grade students' consistently poor reading comprehension abilities, which impeded their overall academic development and participation in language acquisition, served as the driving force for this study. Using a comic assisted problem based learning (PBL) model, the study, which involved 39 students at SDN Purwamekar, aimed to improve learning activities in order to increase teacher and student participation and, eventually, improve fifth grade students' reading comprehension skills. By using comic strips to illustrate issues, this creative method made learning more engaging and accessible for younger students. In order to enable iterative improvements, the study was conducted over two cycles using classroom action research technique. Only 25% of students (eight people) successfully completed the learning objectives in the first cycle, according to preliminary findings, while 75% (24 students) failed, suggesting difficulties with student motivation and comprehension. This led to changes like improving comic material and fostering more cooperative conversations. Significant progress was seen by the second cycle, with 30 students meeting the completion criteria and only four falling short of the objectives, indicating improved engagement and skill growth. In conclusion, the comic assisted PBL model effectively boosted reading comprehension skills among fifth grade students. The research underscores the value of integrating visual aids and problem solving in education, offering practical insights for teachers to create more dynamic classrooms. Nonetheless, factors like time constraints and resource availability warrant further exploration to ensure sustainable implementation in diverse educational settings.

This study aims to analyze the digital marketing strategies implemented by Islamic fintech platforms to enhance their competitiveness in the Islamic financial sector. The research is motivated by the rapid development of financial technology, which has significantly influenced consumer behavior and reshaped financial institutions’ business models, including those operating under Islamic principles. Despite this growth, Islamic fintech faces challenges in strengthening its brand image, user trust, and customer loyalty amidst the dominance of conventional fintech players. The study adopts a qualitative descriptive approach using case studies of selected Islamic fintech platforms such as Ammana, Ethis, and Investree Syariah. Data were collected through documentation, online interviews, and analysis of financial reports and official websites. The data were analyzed using the SWOT framework to identify the strengths, weaknesses, opportunities, and threats of current digital marketing strategies. The findings indicate that the use of social media, collaboration with Muslim influencers, and educational content about halal finance serve as key strategies for expanding market reach and building user trust. Consistent and Sharia-compliant digital marketing efforts have proven effective in enhancing brand awareness, customer loyalty, and Islamic financial inclusion. The implications of this research suggest that digital marketing is not merely a promotional tool but a strategic instrument to strengthen competitiveness and expand the global presence of Islamic fintech. With supportive regulations and improved digital literacy, Islamic fintech has the potential to become a driving force in transforming the Islamic financial ecosystem in the digital era.

Goals – Goals from studies This is For explore approach strategic in development System Information Management (SIM) as integral part in support digital transformation of modern organizations. Study This emphasize importance integration technology information , effective data management as well as improvement digital competence resources Power man in operation system. Design/ methodology / approach – Conceptual article This use method review library with analyze various work relevant academic and technical manuals , in particular related implementation of SIM in the sector public and private . Study This referring to the works Jatnika et al. (2022–2024), including utilization Microsoft Office applications as skills supporting basis​ organizational digital literacy . Findings – Findings studies This show that SIM development is not just effort technical , but rather need strategic in support digital transformation . Key strategies covers design modular systems , data mining integration , training programs based users , and evaluation system in a way periodic . Components This allows organization build responsive and adaptive SIM ecosystem . Implications practical – Organizations that want to do digital transformation is necessary invest in development digital capabilities of sources Power the human as well as ensure effectiveness use developed SIM system in a way strategic can become driving force main in increase efficiency , accuracy , and capability taking decision across work units . Originality / value – Study This offers a conceptual model structured about development of SIM in context digital transformation , based on literature applications and needs organizations in the real world . This article give outlook practical for taker policy , IT managers , and HR developers .  

Purpose – This article aim For develop approach new in management source Power strategic human resources with integrate dimensions adaptive and cognitive in context digital transformation of organizations . Research This based on synthesis theoretical from works Prihantoro et al . (2022–2023), in order to review return the role of HR as driver main superiority competitive based knowledge in the era of disruption technology . Design/ methodology / approach – This article use method studies library conceptual with approach qualitative- descriptive analysis done to six work main topic that discusses strategic HR topics , digitalization organization and learning organization . Synthesis done For building an integrative model that emphasizes influence digital transformation towards performance and development of organizational human resources . Findings – Results of analysis show that approach adaptive-cognitive can strengthening HR strategy in face change environment business . Merger digital competence , ability Study organization , as well as leadership transformative proven become key in optimize HR functions in general strategic . HR is not Again only nature administrative , but is driving force main innovation and efficiency . Implications practical – Organization need designing repeat digital learning- based HR policies , building ecosystem management knowledge , as well as push culture Innovation . Data- driven and intelligence-driven HR practices artificial is also recommended For taking decision strategic . Originality / Value – This article offer novelty conceptual through integration theory learning organization and approach mark in digital HR management . Contribution This expand traditional HRM coverage to realm more strategic​ responsive to challenge technology .

This study aims to analyze the factors influencing the success of development in Kesiman Kertalangu Village. The factors examined include village institution revenue, labor force, investment, and community participation. Development, in general, can be defined as efforts to enhance the productivity of resources owned by a region, such as natural resources, human resources, and financial resources. However, development in Kesiman Kertalangu Village faces challenges, namely changes in economic structure and land use conversion, which impact the regional development. This research employs a quantitative approach with multiple linear regression analysis to examine the relationship between independent variables (village institution revenue, labor force, investment, and community participation) and the dependent variable (village development success). The data used are secondary time series data collected annually from 1995 to 2024. Data were gathered through literature review by obtaining information from credible official sources, including government agencies, the Central Bureau of Statistics, and the Kesiman Kertalangu Village Office. Data analysis was conducted using Eviews 12 software. The results indicate that village institution revenue, labor force, investment, and community participation simultaneously have a significant effect on the success of development in Kesiman Kertalangu Village. Moreover, labor force, investment, and community participation have a positive and significant partial effect on development success, while village institution revenue has a positive but not significant partial effect. The findings also reveal that investment is the most dominant factor influencing the success of development in Kesiman Kertalangu Village. Theoretically, the finding that investment has a dominant influence on the success of Kesiman Kertalangu Village development strengthens the Solow growth model, Robert Chambers' participatory theory, and Amartya Sen's capacity building concept. Practically, the research results provide strategic direction for village governments and stakeholders in designing participation- based development policies, increasing fiscal capacity, and empowering local workers.

This community service program aims to increase the digital capacity and leadership of Indonesian Berkebaya Women (PBI) members through an approach that integrates traditional values with modern technology. The method used is Participatory Action Research (PAR), with the subject of service as many as 13 members of the Banyumas branch of PBI. The activity was carried out in the form of an intensive workshop for three days at the Green Valley Hotel Baturraden, which included three main sessions: Digital Transformation Workshop, Leadership Development, and Content Creation Workshop. The results of the program showed significant achievements, where 80% of participants were able to actively master at least three social media platforms. In addition, 15 quality digital content was created that reflects the organization's cultural identity and values. The digital engagement rate increased from 15% to 50%, demonstrating the effectiveness of training strategies and active participation of participants. As an indicator of the program's sustainability, a Digital Task Force was formed and a Standard Operating Procedure (SOP) was prepared for the management of the organization's digital media. The theoretical findings of this program show that the integration between cultural values and digital capabilities is not contradictory, but rather mutually reinforcing in forming an organizational identity that is adaptive to changing times. This approach has succeeded in creating a culturally based empowerment model that can be replicated in other communities or organizations with similar characteristics. The emphasis on cultural sensitivity in the design of community service programs is the key to success, especially in the context of inclusive and sustainable digital transformation. This program makes a real contribution to strengthening women's capacity based on cultural communities, as well as opening up space for the development of relevant empowerment strategies in the digital era. Thus, this model can be a reference in designing social interventions that respect local wisdom while encouraging digital innovation.

This community service activity was implemented with an educational and participatory approach through outreach activities, lectures, discussions, and intensive mentoring. This activity was aimed at participants in the meeting to establish the Merah Putih Village Cooperative, consisting of various elements of the community, Lembang officials, and several representatives from related sectors who have a direct or indirect relationship with village economic development through cooperatives. The material provided included an understanding of the basics of cooperatives, the benefits of the existence of cooperatives for village communities, as well as the stages or legal and administrative flows in the process of establishing a cooperative in accordance with applicable regulations in Indonesia. In addition, participants were also given insight into the principles of good cooperative governance, financial transparency, member meeting mechanisms, and the distribution of SHU (Surplus Operating Results) fairly and proportionally. The material was delivered through interactive lectures and open discussions that allowed for active participant participation to ask questions, provide suggestions, and express their experiences and hopes for the cooperative that will be formed. The activity continued with mentoring in the process of establishing the cooperative's organizational structure, including the election of administrators, the preparation of AD/ART, and understanding the duties and responsibilities of each element in the cooperative organization. The primary goal of this mentoring activity is to provide comprehensive understanding, increase community capacity to manage cooperatives independently and professionally, and encourage active community participation in productive economic activities through cooperatives. Thus, it is hoped that the Merah Putih Village Cooperative can become a sustainable driving force for the local economy.

Micro, Small, and Medium Enterprises (MSMEs) are one of the sectors that have an important role in supporting Indonesia's national economy. Its contribution is enormous to the Gross Domestic Product (GDP), job creation, and increased innovation, especially in the face of global economic challenges and social inequality. This research aims to examine in depth the role of MSMEs in encouraging Indonesia's economic growth and identify various challenges faced by this sector. The method used in this study is library research, by analyzing various sources of scientific literature, policy reports, and relevant empirical data related to the role of MSMEs. The results of the study show that MSMEs not only contribute to increasing national GDP, but also become the main driving force in providing jobs for the community, especially in rural and suburban areas. In addition, MSMEs are also an important means in the development of local innovation, especially in the use of simple technology that is in accordance with community conditions. However, MSMEs also face a number of serious challenges that can hinder their contribution to economic growth. These challenges include limited access to digital payment systems, low quality of human resources (HR), weak marketing networks, and limited capital and technology. Thus, to increase the role of MSMEs in national economic development, synergy is needed between the government, the private sector, and financial institutions in providing comprehensive and sustainable support. The support includes training on human resource capacity building, access to capital, digital transformation, and strengthening the business ecosystem. This research is expected to contribute to the development of policies that favor the empowerment of MSMEs in Indonesia.

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.

This study explores how policewomen (Polwan) at the East Sumba Police Resort (Polres Sumba Timur) manage dual roles—as law enforcers in the public sphere and as wives and mothers within the domestic sphere. A qualitative method was employed, using data collection techniques such as field observation, in-depth interviews, and document analysis. The findings reveal that Polwan are capable of balancing their professional and familial responsibilities, despite facing challenges such as demanding work schedules, psychological stress, and limited institutional support. To overcome these obstacles, they adopt strategies such as effective time management, maintaining open communication with family members, and seeking moral support from colleagues. Overall, the study shows that policewomen possess strong adaptive capabilities in fulfilling their dual roles and contribute positively to the advancement of women's roles in public institutions. These findings are expected to inform the development of more inclusive and gender-responsive policies within the police force.

This study explores employment development strategies aimed at bolstering economic growth in North Sumatra Province using the Vector Autoregression (VAR) model and an eighteen-year time series dataset. The variables analyzed include the Human Development Index (HDI), total population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and Open Unemployment Rate (OUR). The estimation results reveal dynamic interrelationships among these variables over short, medium, and long-term periods. The VAR analysis with a lag of 2 illustrates how each variable contributes to both itself and the other variables. It also shows that past variables (t-1) significantly impact current variables. Furthermore, the response function analysis identifies how a change in one variable is responded to by others across different time horizons. Stability analysis confirms that all variables maintain medium-to-long-term stability over a five-year period. The Forecast Error Variance Decomposition (FEVD) highlights HDI, population, and GRDP as the most influential variables in shaping the employment system and economic development overall. The VAR model used meets the stability test criteria, making the findings a reliable basis for policy research.