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This study aims to analyze the budgeting activities of the Surabaya City Women's Empowerment, Child Protection, and Population Control and Family Planning Agency (DP3A-PPKB) in supporting stunting reduction, while evaluating policy effectiveness, efficiency, responsiveness, and accuracy through William N. Dunn's evaluation framework. A qualitative case study design was utilized, supported by document analysis of planning records, budget realizations, and stunting prevalence data from 2019–2024. Findings reveal that DP3A's budget allocation aligns with the regional development plan and facilitates family-based sensitive interventions. Despite the first-quarter 2025 realization reaching only 9.5% of the total IDR 58.3 billion, strategic programs persisted through cross-sectoral collaboration and adaptive implementation strategies involving multiple stakeholders. The study concludes that DP3A's contributions are indirect, contingent on inter-organizational synergy among regional apparatus units (OPD). Ultimately, stunting reduction success hinges not on budget magnitude alone, but on systemic integration, policy coordination, and sustained collaborative governance across sectors. These findings emphasize the importance of strengthening institutional networks to improve program effectiveness and long-term nutritional outcomes for children.

. Digital transformation in public administration has become a strategic agenda in modern bureaucratic reform aimed at improving effectiveness, efficiency, transparency, and the quality of public services. This study aims to analyze the digital transformation of public administration through a comparative study between Indonesia and South Korea, particularly in the implementation of digital government. The research employs a qualitative method with a comparative study approach and is supported by library research through the collection of secondary data from scientific journals, international institutional reports, government policy documents, and relevant previous studies. Data analysis was conducted descriptively and comparatively using the approaches of Digital Era Governance (DEG), Institutional Theory, New Public Management (NPM), and Socio-Technical Systems Theory. The findings indicate that South Korea has successfully developed an integrated digital government through consistent national policies, strong data interoperability, high bureaucratic capacity, adaptive organizational culture, and equitable digital infrastructure development. Meanwhile, Indonesia is still in the transition stage from e-government to digital government and faces various challenges, such as inter-agency system fragmentation, low data interoperability, unequal digital infrastructure, limited civil servant competencies, and bureaucratic resistance to change. This study concludes that the success of digital transformation in public administration is determined more by institutional strength and bureaucratic reform than merely by technology adoption. Therefore, Indonesia needs to position digital transformation as a comprehensive state reform agenda in order to create a modern, responsive, and public service-oriented government.

Advances in information and communication technology have encouraged governments to integrate digital systems into public service delivery through e-government initiatives. In Riau Province, the Riau application at the Soeman H.S. Library exemplifies this implementation. This study examines how the Riau application enhances the effectiveness and efficiency of public services within the library. Using a descriptive qualitative method, data were collected through interviews, observations, and documentation. Findings show that the application provides convenient online access to library information and services. However, challenges remain, including limited financial resources, dependence on external parties, and insufficient feature development to meet user needs fully. These findings underscore the importance of strengthening institutional capacity, improving infrastructure, and formulating strategic plans to sustain digital library services. In line with Indonesia’s 1945 Constitution, regional governments possess autonomy to manage local affairs, aiming to improve public welfare through enhanced services, community empowerment, and civic participation while promoting regional competitiveness with attention to equity and democratic values. Following Presidential Instruction No. 3 of 2003, digital governance transformation is necessary to reduce bureaucratic barriers, integrate workflows, and support inter-institutional collaboration.

The high rate of occupational accidents globally and nationally demands the strengthening of Occupational Health and Safety (OHS) management systems, particularly in the high-risk industrial sectors. The study aims to analyze the implementation of safety induction at PT X and develop audiovisual educational media as a solution to improve occupational safety understanding. The research method employed is descriptive qualitative, with data collection techniques including field observations, in-depth interviews, and review of corporate documents, Problem prioritization was determined using the Urgency, Seriousness, and Growth (USG) method, while root cause analysis was conducted using a Fishbone diagram. Research findings indicate that the current oral delivery method for safety induction is ineffective, as evidenced by 13% of participants needing to retake the comprehension test. As an intervention, “POWER SAFE” video media was developed, which, based on the Methodology, Effectiveness, Efficiency, and Relevance (MEER) analysis, proved to have the highest effectiveness and relevance in delivering standardized safety information. The implications of study emphasize that the use of structured digital media is a strategic step to minimize gaps in understanding and strengthen the safety culture within high-risk work environments.

The high rate of occupational accidents globally and nationally demands the strengthening of Occupational Health and Safety (OHS) management systems, particularly in the high-risk industrial sectors. The study aims to analyze the implementation of safety induction at PT X and develop audiovisual educational media as a solution to improve occupational safety understanding. The research method employed is descriptive qualitative, with data collection techniques including field observations, in-depth interviews, and review of corporate documents, Problem prioritization was determined using the Urgency, Seriousness, and Growth (USG) method, while root cause analysis was conducted using a Fishbone diagram. Research findings indicate that the current oral delivery method for safety induction is ineffective, as evidenced by 13% of participants needing to retake the comprehension test. As an intervention, “POWER SAFE” video media was developed, which, based on the Methodology, Effectiveness, Efficiency, and Relevance (MEER) analysis, proved to have the highest effectiveness and relevance in delivering standardized safety information. The implications of study emphasize that the use of structured digital media is a strategic step to minimize gaps in understanding and strengthen the safety culture within high-risk work environments.

The development of transportation technology encourages companies to improve vehicle monitoring systems to be more effective and measurable, particularly in addressing speeding violations that can increase accident risks and reduce operational efficiency. This study aims to analyze the implementation and effectiveness of using a buzzer integrated with the Teltonika FMB910 GPS module as a vehicle speed warning indicator at PT. Lacak Cipta Aktual. This research employs a qualitative descriptive method with a case study approach, where data were collected through observation, interviews, and documentation during a one-month industrial internship and analyzed using the Miles and Huberman model, including data reduction, data presentation, and conclusion drawing. The results show that the system is capable of detecting overspeed conditions and automatically activating the buzzer when the vehicle speed exceeds the predefined threshold of 80 km/h. Based on logbook data, the system achieved a success rate of 93.9% in responding to overspeed conditions. The use of a buzzer is proven effective in providing immediate warnings to drivers, thereby improving driver awareness and speed control. However, the system still has limitations, particularly its dependence on GPS signal stability and vehicle electrical conditions. Overall, this study demonstrates that the integration of GPS and a buzzer provides a simple, effective, and cost-efficient solution to enhance driving safety and fleet management efficiency.

The development of digital technology has transformed trading patterns through the emergence of live shopping, a phenomenon that enables real-time interaction between sellers and consumers. Although it offers marketing efficiency, this model poses significant legal risks, including misleading information, promotional manipulation, and product non-conformity. This study aims to analyze legal certainty in consumer protection within live shopping transactions, examine the forms of business actors’ liability for consumer losses, and identify obstacles to regulatory implementation along with efforts to strengthen supervision.The research method employed is normative legal research using both a statute approach and a conceptual approach. The results indicate that legal certainty in consumer protection within this ecosystem is grounded in the integration of Law No. 8 of 1999 (Consumer Protection Law) as the lex generalis and Government Regulation No. 80 of 2019 (Electronic Commerce/PMSE) as the lex specialis, which recognizes the validity of real-time electronic contracts. The legal liability of business actors is strict liability in nature, in accordance with Article 19 of the Consumer Protection Law, and may also be construed as a tort (Article 1365 of the Civil Code) in cases involving distortion of visual information.However, the effectiveness of these regulations is hindered by the ephemeral nature of transactions and low levels of digital literacy. This study recommends the implementation of technology-based supervisory systems (suptech), strengthening the oversight function of platforms (PPMSE), and policy synchronization between the Ministry of Trade and the Ministry of Communication and Informatics in standardizing business actor verification to ensure the security of the digital commerce ecosystem.

The Village Fund Direct Cash Assistance Program (BLT-DD) is a social protection instrument designed to help low-income families meet their basic needs. However, its implementation often faces challenges such as targeting inaccuracies, limited data, and varying administrative capacity at the village level. This study aims to evaluate the implementation of BLT-DD using William N. Dunn’s six policy evaluation criteria through a Systematic Literature Review (SLR) approach, covering effectiveness, efficiency, equity, responsiveness, conceptual alignment, and implementation. The findings indicate that BLT-DD is fairly effective in helping households maintain consumption, yet its effectiveness and adequacy remain constrained by the amount of assistance and the quality of data collection. Program efficiency and responsiveness are relatively good in villages with sufficient governance capacity, while equity emerges as the weakest aspect due to inaccurate data verification. Conceptually, BLT-DD aligns with the needs of low-income communities, but implementation accuracy still requires reinforcement. Furthermore, the study highlights the need for more systematic monitoring mechanisms, cross-sectoral data integration, and administrative training for village officials to enhance service quality. Overall, BLT-DD provides valuable support but requires improvements in governance and data systems to optimize outcomes, including regular evaluation strategies and refinement of supporting regulations.

Using Non Performing Financing (NPF) as a moderating variable, this study looks at how profit sharing and profit margin financing affect the effectiveness and stability of Islamic banks in Indonesia. The primary topic discussed is how various Islamic financing arrangements affect the operational effectiveness and financial stability of banks, as well as whether credit risk enhances or diminishes these connections. This study aims to examine the direct impacts of financing modalities as well as the moderating influence of NPF on the performance of Islamic banks. Based on secondary data from eight Islamic banks in Indonesia between 2018-2024, this study employs a quantitative methodology using panel data regression and Moderated Regression Analysis (MRA). The findings indicate that while profit margin financing has no discernible impact on efficiency, profit sharing financing has a favorable and considerable impact. Profit margin financing has a negative and negligible impact on stability, whereas profit sharing financing has a positive but negligible impact. Additionally, by changing the direction of influence, NPF significantly moderates the association between profit sharing financing and both efficiency and stability. However, it does not significantly moderate the effect of profit margin financing on efficiency, but it does on stability. In summary, the effectiveness of Islamic financing is heavily reliant on risk management, especially credit risk control, where NPF is a key factor in evaluating whether financing can improve stability and efficiency in Islamic banks.

The advancement of digital technology has significantly transformed organizational decision-making, particularly in modern leadership contexts that demand rapid and data-driven responses. Artificial Intelligence(AI) has emerged as a strategic technology capable of enhancing accuracy, speed, and effectiveness in decision-making through comprehensive data analysis. This study aims to analyze the role of AI in supporting leadership decision-making and its implications for organizational effectiveness using a narrative literature review approach. Secondary data comprising peer-reviewed national and international journal articles were analyzed to identify patterns, themes, and interactions between AI, leadership, and decision-making processes. The findings indicate that AI functions not only as a data analysis tool but also as a strategic element that strengthens leaders’ capabilities in evidence-based decision-making, improves team coordination, and optimizes organizational processes. Thematic synthesis identified three main domains analytics and predictive capabilities, leadership strategies, and implementation challenges that form the basis for integrating AI into managerial practice. This study contributes theoretically by expanding the digital leadership and technology-based decision-making framework and practically by providing guidance for organizations to optimize AI utilization to enhance decision quality and efficiency. The research also offers directions for future empirical studies to explore AI-leadership interactions across various organizational sectors, supporting more adaptive, effective, and data-driven decision-making in the digital era.

Drug availability at community health centers is an important indicator of health service quality. Drug shortages or excesses may affect service effectiveness and budget efficiency. This study aimed to determine the level of drug availability at the South City Community Health Center and the Piloloda'a Community Health Center in 2024 based on compliance with the formulary, demand, receipt, and drug availability categories. This study used a descriptive analytical method with a cross-sectional approach. Data were obtained retrospectively from the 2024 Drug Use Report and Request Sheet (LPLPO). Data analysis was conducted by calculating the percentage of compliance with the formulary, demand, and receipt, and by determining drug availability levels using the Indonesian Ministry of Health (2010) formula and the classification of Carolien et al. (2017). The results showed that formulary compliance was 82% at the South City Community Health Center and 67% at the Piloloda'a Community Health Center, both below the 95% standard. Drug demand compliance scores were 151% and 199%, exceeding the 100–120% standard, while drug receipt compliance scores were 71% and 56%, below the 100% standard. Drug availability categories varied from adequate and insufficient to excess stock, with most drug items classified as insufficient stock. In conclusion, drug management at both community health centers has not been fully optimal. Improved coordination between community health centers and pharmaceutical facilities is needed to maintain stable drug availability and support service needs.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

This quantitative study, involving 135 respondents, aims to analyze the influence of work efficiency and income on the welfare level of members of the Women Farmer Group (KWT) in X Koto Singkarak Sub-district. Data were collected through structured questionnaires and analyzed using multiple linear regression, t-tests, and F-tests to determine both partial and simultaneous effects of the independent variables on welfare. The results of the t-test reveal that work efficiency (X1) does not have a significant partial effect on the welfare of KWT members (Y), as indicated by a t-value of -1.817, which is lower than the t-table value of 1.977, and a significance level of 0.071, which exceeds 0.05. Conversely, income (X2) demonstrates a strong and significant partial effect on welfare, supported by a significance value of 0.000, which is lower than 0.05, and a t-value of 13.561, which is higher than the t-table value of 1.977. Furthermore, the simultaneous F-test confirms that work efficiency and income collectively have a significant effect on the welfare level of KWT members, with an F-value of 98.319 exceeding the F-table value of 19.490 and a significance level of 0.000. These findings indicate that increasing income plays an important role in improving welfare.

The development of artificial intelligence (AI) has transformed organizational landscapes and driven fundamental changes in leadership practices and strategic management. This article aims to critically examine AI-based leadership by highlighting its opportunities, risks, and implications for strategic management. The study employs a qualitative literature-based approach using an integrative literature review strategy. The data consist of secondary scholarly literature relevant to AI, leadership, governance, innovation, and strategic management, which were analyzed through qualitative thematic analysis and conceptual content analysis. The findings show that AI-based leadership creates opportunities in the form of improved decision quality, faster strategic analysis, operational efficiency, stronger innovation, and enhanced organizational agility. However, AI integration also presents risks, including algorithmic bias, limited decision transparency, technological dependency, accountability challenges, and ethical concerns. This study confirms that AI does not fully replace human leaders; rather, it fosters a hybrid leadership model that requires technical, adaptive, transformational, and ethical capabilities. The study implies that the effectiveness of AI-based leadership depends on responsible governance, organizational cultural readiness, and balanced human–machine collaboration in supporting strategic management.

Digital transformation in public administration has become one of the strategic agendas in modern bureaucratic reform to improve the effectiveness, efficiency, transparency, and quality of public services. This study aims to analyze the digital transformation of public administration through a comparative study between Indonesia and South Korea, particularly in the implementation of digital government. This study uses a qualitative method with a comparative study approach and is supported by library research through secondary data collection from scientific journals, international agency reports, government policy documents, and relevant previous research. The data analysis technique uses descriptive-comparative analysis with the theoretical approaches of Digital Era Governance (DEG), Institutional Theory, New Public Management (NPM), and Socio-Technical Systems Theory. The results of the study show that South Korea has succeeded in developing an integrated digital government because it is supported by consistent national policies, strong data interoperability, high bureaucratic capacity, adaptive organizational culture, and equitable distribution of digital infrastructure. In contrast, Indonesia is still in the transition stage from e-government to digital government and faces various obstacles such as fragmentation of inter-agency systems, low data interoperability, inequality in digital infrastructure, limited ASN competency, and bureaucratic resistance to change. Based on the Digital Era Governance theory, South Korea has successfully implemented the principles of reintegration, needs-based holism, and digitization of changes, while Indonesia remains suboptimal in terms of bureaucratic integration and services based on public needs. This study concludes that the success of digital transformation in public administration is determined more by institutional strength and bureaucratic reform than simply by technology adoption. Therefore, Indonesia needs to prioritize digital transformation as a comprehensive national reform agenda to create a modern, responsive, and service-oriented government.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

The rapid evolution of digital technologies has fundamentally reshaped tax administration systems, particularly for Micro, Small, and Medium Enterprises (MSMEs), which constitute a critical driver of economic development yet continue to demonstrate suboptimal levels of tax compliance. This study aims to critically examine the role of Application Programming Interface (API)-based tax automation in enhancing MSME tax compliance through a systematic narrative literature review approach. Employing a qualitative design, this study synthesizes recent scholarly works published within the last five years to identify patterns, relationships, and emerging trends in digital taxation practices. The findings indicate that API-based automation significantly improves administrative efficiency, minimizes human error, and facilitates real-time data integration between taxpayer systems and tax authorities. Moreover, such integration enhances transparency and reduces compliance costs, thereby fostering voluntary compliance behavior among MSMEs. Nevertheless, the effectiveness of this technological intervention is contingent upon several structural and behavioral factors, including digital literacy, technological readiness, and the availability of reliable digital infrastructure. Persistent disparities in these areas may constrain the scalability and inclusiveness of API implementation. This study underscores that API-based tax automation represents a transformative policy instrument in modernizing tax administration systems, provided it is supported by coherent regulatory frameworks, capacity-building initiatives, and equitable infrastructure development. The findings contribute to the broader discourse on digital taxation by offering a conceptual foundation for developing adaptive and sustainable compliance strategies in the era of economic digitalization

Correspondence administration is vital for supporting operational efficiency in schools. However, manual management often leads to issues such as data retrieval delays, recording errors, and the risk of lost archives. This research aims to design and develop a Web-Based Administration Data Monitoring Information System using QR Codes at UPTD SMAN 3 Majene. The study employs the Research and Development (R&D) method with the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance.The system involves three primary users: Admin/Administrative Staff, Teachers, and the Principal. QR Codes are implemented as digital identities to facilitate easier archive tracking and retrieval. Results indicate that the system enhances effectiveness and efficiency in correspondence management, accelerates letter request services, and simplifies data monitoring for school management. This system is expected to provide a solution for achieving orderly administration at UPTD SMAN 3 Majene. Furthermore, QR Code integration ensures document validity and digital archive security, supporting a more modern, transparent, and sustainable school governance transformation.

The development of financial technology has led to the emergence of cryptocurrency as a decentralized digital instrument that enables fast and cross-border financial transactions. While this technology offers efficiency and flexibility in digital financial activities, it also creates opportunities for misuse in various forms of crime, including terrorist financing. This study aims to analyze the use of cryptocurrency as a means of financing terrorist activities in Indonesia, examine the existing legal framework governing terrorist financing, and identify the challenges faced in law enforcement. This research employs a normative legal method using statutory, conceptual, and case study approaches. The findings indicate that the use of cryptocurrency as a medium for terrorist financing still fulfills the elements of a criminal offense as regulated under Law Number 9 of 2013 concerning the Prevention and Eradication of Terrorism Financing. However, the characteristics of cryptocurrency, such as anonymity, decentralization, and cross-border transactions, create significant challenges in the processes of evidence gathering, transaction tracing, and identification of perpetrators. In addition, there is a regulatory gap between the recognition of crypto assets as economic commodities and the supervision of their potential misuse for terrorist financing. Therefore, stronger regulations are needed to explicitly integrate crypto assets into the terrorist financing prevention regime, along with improving the capacity of law enforcement agencies in blockchain transaction analysis and strengthening international cooperation to enhance the effectiveness of law enforcement in the digital economy era.