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Public health is an important indicator of the success of regional development and the quality of public services. Local governments play a strategic role in the provision of healthcare services through adaptive, effective, and community-oriented policies. This study aims to analyze local government policies in addressing public health issues through a literature review approach. The research method employed a literature study by examining scientific journals, laws and regulations, books, and policy documents related to regional health policies in Indonesia. The findings indicate that regional health policies are influenced by decentralization, fiscal capacity, the quality of governance, and inter-institutional synergy. Policy implementation continues to face several challenges, including limited budgets, low quality of healthcare human resources, unequal access to healthcare services, and weak intersectoral coordination. However, public service innovation and the strengthening of good governance have proven effective in improving healthcare service delivery. This study emphasizes that the success of regional health policies is determined by government commitment, community participation, integration between central and local policies, institutional strengthening, budget optimization, and service innovations based on community needs.

This study aims to examine the effect of debt policy and transfer pricing on tax avoidance, with audit quality as a moderating variable. The object of this study is non-banking companies included in the LQ45 index listed on the Indonesia Stock Exchange during 2021-2024, with a total sample of 117 firm-year observations. The data were analyzed using multiple linear regression and subgroup analysis (and chow test), by comparing the regression results between companies audited by Big Four and non-Big Four audit firms. The results indicate that debt policy has a positive and significant effect on tax avoidance, while transfer pricing does not have a significant effect on tax avoidance. Audit quality is proven to moderate the relationship between debt policy and tax avoidance by weakening the effect. However, audit quality does not moderate the relationship between transfer pricing and tax avoidance. These findings suggest that corporate financing decisions through debt remain an important mechanism in tax planning practices, while audit quality plays a crucial role as an external monitoring mechanism in limiting aggressive tax avoidance behavior.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.  

The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

Independent plantations are a favorite in the Jambi Regional economy, as they are a source of economic growth, employment, exports, and foreign exchange for the region. Despite their relatively low productivity, oil palm plantations in Jambi Province have a major competitive advantage compared to other commodities. This study aims to describe, analyze competitiveness, analyze policy impacts, and conduct sensitivity tests on independent oil palm plantations. The research location was in Merlung District, selecting three sample villages: Tanjung Paku Village, Merlung Village, and Lubuk Terap Village purposively, with a total sample of 43 farmers. The data analysis method used the (PAM) method. The results of the analysis show that independent farmers still have relatively low productivity. The DRCR value is 0.379 (<1) and the PCR value is 0.368 (<1) which indicates savings in the use of domestic resources by 37.9% and 36.8%. These results indicate a comparative and competitive advantage. The divergence impact shows a negative impact, meaning that government policies are not distorted properly, as indicated by an NPCI value of 1.18 (> 1) and an NPCO value of 0.87 (< 1). Sensitivity tests show that independent oil palm plantations still have competitiveness (< 1), despite experiencing policy distortions such as input price increases (11% and 25%) and a decrease in FFB prices (45%).  

This study aims to analyze the implementation of bureaucratic reform in improve the administrative performance of the Sorong City Regional Secretariat. The research uses a mixed-methods approach, combining quantitative and qualitative methods. Quantitative data were obtained by distributing questionnaires to 30 government apparatus respondents using the Likert scale and were analyzed using descriptive statistics and correlation analysis. Meanwhile, qualitative data were obtained through in-depth interviews with key informants and analyzed using thematic analysis and data triangulation. The results of the study show that the implementation of bureaucratic reform is positively related to the organization's administrative performance. The variables of policy communication, apparatus resources, and bureaucratic structure show a fairly strong correlation with administrative performance, with bureaucratic structure exhibiting the strongest relationship. Qualitative findings also show that bureaucratic reform has been carried out through simplifying procedures, updating SOPs, digitizing administration, and strengthening the performance reporting system. Theoretically, this research strengthens policy implementation theory and public organizational performance theory, which emphasize the importance of policy communication, human resource capacity, and the effectiveness of organizational structures in improving bureaucratic performance. However, this study has limitations in scope, as it is confined to a single organizational unit and a relatively small number of respondents. Therefore, further research is suggested to expand the research object in several regional apparatus organizations in order to obtain a more comprehensive picture of the implementation of bureaucratic reform at the local government level.

The increase in the number of elderly residents demands the provision of residential facilities that not only meet physical needs, but also support the psychological and social well-being of their users. This study aims to formulate the concept of behavioral architecture-based nursing home design by focusing on the relationship between elderly activity patterns, privacy levels, and spatial relationships of space in the local context of Indonesia. This study uses a qualitative-descriptive approach in the framework of architectural design, with data collection through observation of elderly activities, site analysis, and documentation studies. Activity data was analyzed to identify space needs and usage patterns, then synthesized with site characteristics to formulate the concepts of zoning, circulation, and behavior-based spatial relationships. The results of the study show that the activities of the elderly form a layered behavioral structure, including residential and health activities as primary needs as well as social, productive, and educational activities as support for psychosocial welfare. Hierarchically arranged space zoning based on privacy levels has been proven to improve the readability of the space, sense of security, and comfort of the elderly. The integration of green open spaces as part of the activity system also strengthens support for light physical activity and social interaction. This study confirms that the application of behavioral architecture allows the translation of data on elderly behavior and site conditions into a contextual, humanist, and quality-of-life-oriented design concept. These findings provide practical implications for designers and policymakers in the development of sustainable elderly housing.

The transition toward sustainable energy systems requires the transformation of renewable energy marketing strategies, particularly for waste-based energy. This study aims to analyze the effects of green marketing, stakeholder collaboration, and technological innovation on the marketing effectiveness of waste-based energy, with customer satisfaction as an intervening variable. A quantitative approach with a survey design was used. Data were collected from 300 respondents, comprising consumers and stakeholders at PT PLN (Persero) ’s waste-based energy processing units. Structural Equation Modeling (SEM) was used to analyze the data. The results indicate that green marketing, stakeholder collaboration, and technological innovation significantly influence customer satisfaction and the effectiveness of marketing. Furthermore, customer satisfaction significantly mediates the relationship between independent variables and marketing effectiveness. These findings emphasize the importance of integrating sustainable marketing strategies, multi-stakeholder synergy, and innovative technologies to enhance the competitiveness of waste-based energy products in the market. This study contributes to the theoretical development of renewable energy marketing models and provides practical implications for policymaking and green energy marketing strategies in Indonesia.

This study aims to analyze the role of Islamic Religious Counselors as street-level bureaucrats in implementing Islamic Community Guidance policies in Batang Regency. The study used a mixed-methods approach with a sequential explanatory design, beginning with the collection and analysis of quantitative data and then deepening with qualitative data. Quantitative data were obtained from 53 respondents using a questionnaire that was tested for validity and reliability. In contrast, qualitative data were collected through in-depth interviews, observations, and documentation with religious counselors, Ministry of Religious Affairs officials, the KUA (Office of Religious Affairs), and the community. Data analysis was conducted descriptively and analytically using Michael Lipsky's street-level bureaucracy theory as an analytical framework. The study's results indicate that the role of Islamic Religious Extension Workers as street-level bureaucrats is positively and strongly associated with the successful implementation of the Islamic Community Guidance policy (r = 0.826; p < 0.01). Qualitative findings revealed that extension workers exercise discretion in the form of community assistance, adjustments to extension methods, strategic flexibility, and responsiveness to socio-religious issues at the local level. This study confirms that the effectiveness of Islamic Community Guidance policies is not determined solely by formal policy design but is highly dependent on the capacity, flexibility, and discretion of Islamic Religious Counselors, the implementing actors at the field level. These findings provide theoretical contributions to the development of street-level bureaucracy studies in the context of religious policy, as well as practical implications for formulating more contextual and responsive policies.

This study examines the implementation of Papua Special Autonomy in the context of the relocation policy affecting indigenous betel nut vendor women in Sorong City, using an interpretative perspective. The research focuses on how betel nut women vendors understand and experience the relocation policy as indigenous actors directly affected by public policy. The objective of this study is to explore the meanings, experiences, and interpretations constructed by these women in relation to relocation policies under the framework of Papua Special Autonomy.  This research employs a qualitative method with an interpretative approach, utilising in-depth interviews, field observations, and document analysis. The findings reveal that the relocation policy has not fully reflected the core principles of Special Autonomy, particularly in protecting, empowering, and recognising the rights of indigenous Papuans. The women vendors interpret relocation not merely as an urban spatial arrangement, but as a restriction on their economic space and socio-cultural identity.  This study contributes theoretically by enriching the discourse on Special Autonomy from the perspective of local actors, and practically by offering policy recommendations for more inclusive, participatory, and culturally sensitive relocation policies in Papua.

Inconsistent terminology across cybersecurity frameworks undermines global governance and interoperability. The National Institute of Standards and Technology Cybersecurity Framework (NIST CSF 2.0) and ISO/IEC 27001:2022 share similar objectives but diverge semantically in defining risk, control, and resilience. This semantic gap causes difficulties in compliance mapping and automated policy translation. Research Objectives: This study aims to analyze the semantic similarity and divergence between NIST and ISO/IEC 27000 terminologies, identify conceptual structures influencing interoperability, and propose an AI-assisted foundation for harmonizing cybersecurity language globally. Methodology: A mixed-method semantic comparative design integrates Natural Language Processing (NLP) and ontology mapping. Using the nist_glossary.csv dataset and ISO vocabularies, terms were normalized and analyzed via cosine similarity using sentence-transformer embeddings. Ontological alignment was visualized through the Semantic Threat Graph (STG) and validated by certified experts using Cohen’s Kappa reliability tests. Results: From 672 term pairs, results show 40.9% high semantic equivalence, 38.8% partial overlap, and 20.3% semantic divergence. Strongest alignment appears in “Protect” and “Identify” domains, while divergences occur in governance and recovery-related terms. Ontology mapping revealed three conceptual clusters—Risk Governance, Technical Safeguards, and Organizational Readiness. Conclusions: Findings confirm a 79.7% total semantic alignment, indicating strong potential for harmonizing global cybersecurity standards. The study contributes an empirical model combining computational linguistics and AI-based ontology mapping to establish semantic interoperability, enabling unified cybersecurity governance and AI-driven compliance automation. Keywords: Semantic Interoperability; Ontology Mapping; Cybersecurity Frameworks; Terminology Alignment; AI Harmonization

This study examines the application of Transparent Artificial Intelligence (AI) for fraud detection in public welfare programs using publicly available administrative data. Persistent challenges in welfare governance such as misallocation, fraud, and data inaccuracy necessitate analytical frameworks that are both effective and explainable. The research aims to design and evaluate an interpretable anomaly detection system capable of identifying irregularities in welfare distribution while maintaining transparency and accountability. Methodologically, the study employs two unsupervised models Isolation Forest and Local Outlier Factor (LOF) to detect anomalies in sub-district-level welfare data, incorporating features such as population size, number of beneficiaries, and coverage ratio. An Explainable AI (XAI) framework integrating surrogate Random Forests, Permutation Feature Importance (PFI), and local linear surrogates (LIME-like) is applied to ensure interpretability of both global and local model behaviors. Findings reveal that receivers per 1000 population and percentage coverage are dominant determinants of anomaly scores. Fifteen administrative units were flagged for potential inconsistencies suggesting over- or under-reporting of beneficiaries. Cross-validation between IF and LOF models confirmed consistency in identifying anomalous regions. The integrated XAI explanations enhance transparency, enabling policymakers and auditors to trace the rationale behind detected anomalies. In conclusion, the proposed Transparent AI framework demonstrates that combining anomaly detection with interpretability tools can strengthen accountability and fairness in welfare administration. It offers a reproducible, ethical, and data-driven approach to social program monitoring, reinforcing public trust and supporting responsible AI governance.

This study aims to analyse the implementation of the Village Operational Funds (VOF) distribution policy as an instrument for realising good governance principles in the Government of Sorong City. The research focuses on the implementation of fund distribution and the application of transparency, accountability, participation, and effectiveness in managing Village Operational Funds. A quantitative approach with a descriptive design was employed. Data were collected through questionnaires administered to 20 respondents and in-depth interviews with five key informants, including village officials and local government representatives. Additional data were obtained through observations of planning and fund utilisation processes, as well as through analysis of regulatory documentation and accountability reports. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The findings indicate that the implementation of the Village Operational Funds distribution policy in Sorong City has not been carried out in accordance with existing regulations, particularly regarding administrative procedures and fund disbursement mechanisms. This condition is primarily caused by the absence or non-disbursement of operational funds at the village level. Furthermore, the application of good governance principles has not been fully optimised due to limited human resources, weak supervision, and low community participation in planning and evaluation. The study concludes that Village Operational Funds have strategic potential as an instrument for promoting good governance if managed transparently and accountably. Therefore, strengthening institutional capacity, supervision systems, and community participation is essential to support effective village governance in Sorong City.

This study aims to analyse the role of digital literacy of the State Civil Apparatus (ASN) in supporting the implementation of smart cities and improving the quality of public services in the Sorong City Regional Secretariat. The research method used is qualitative with a descriptive approach, through in-depth interviews with structural officials within the Sorong City Secretariat. The results of the study show that the level of digital literacy of civil servants is still varied and greatly influenced by the duties and functions of the position, generational background, and the intensity of the use of digital technology in daily work. The implementation of the smart city concept in Sorong City has not been fully optimal due to limited infrastructure, readiness of human resources, budget support, and coordination between regional apparatus organisations. Nevertheless, digitalisation has had a positive impact on the efficiency of public services, especially in the aspects of administration, transparency, and ease of access to information for the public. This study also found that the success of digital governance is highly determined by the commitment of regional leaders, internal policies that support the digital capacity building of civil servants, and continuous training and mentoring. Therefore, strengthening the digital literacy of civil servants is a strategic and sustainable priority policy to support the development of smart cities and digital public services that are effective, inclusive, and accountable in Sorong City.

This research seeks to examine the impact of digital literacy, Islamic financial literacy, and Islamic branding on Generation Z’s interest in saving with Islamic banks in DKI Jakarta. Unlike most prior studies, this work highlights the combined role of digital literacy, Islamic financial literacy, and Islamic branding, specifically focusing on Generation Z in DKI Jakarta, which has not been widely explored. A quantitative research design was applied, with data gathered through a questionnaire distributed to 400 respondents using purposive sampling. The analysis employed PLS-SEM with the SmartPLS 4 software. The study revealed that digital literacy positively influences saving interest with a coefficient of 0.074, Islamic branding has a strong positive influence with a coefficient of 0.915, while Islamic financial literacy shows no significant effect with a coefficient of -0.002. The model obtained an R-square value of 0.894. This research is restricted to a particular scope or sector, thus the findings cannot be generalized to all contexts. Nevertheless, the results provide useful insights for practitioners, policymakers, and academics in formulating relevant actions or decisions.

Bureaucratic reform at the village level is a crucial prerequisite for achieving professional, effective, and accountable village governance. One of the key pillars of this reform is the implementation of a merit system in the management of village human resources, particularly in the recruitment and appointment of village officials. In this context, the Computer-Assisted Test (CAT) has emerged as a policy innovation designed to enhance objectivity, transparency, and procedural fairness in the selection of village officials. This study aims to analyse the contribution of CAT implementation to strengthening the merit system and its impact on transforming village social conditions, especially in building public trust in village government. Quantitative data were collected through a survey of village residents and analysed using descriptive statistics, correlation analysis, and multiple linear regression in SPSS. Qualitative data were obtained through in-depth interviews, field observations, and document analysis to elaborate further and explain the quantitative findings. The results indicate that transparency, objectivity, and procedural fairness in the selection process have positive and significant effects on public trust in village government, with procedural fairness emerging as the most influential variable. Qualitative findings confirm that public acceptance of selection outcomes is more strongly influenced by perceptions of fairness and openness in the process than by the selection results themselves. This study concludes that the implementation of CAT functions not only serves as a technical selection instrument but also as an institutional mechanism that helps transform village social relations from patronage-based practices toward merit-based village governance.

The conversion of agricultural land to non-agricultural land continues to increase along with the pressures of urbanization, industrialization, and settlement expansion. This condition poses risks to food security, environmental sustainability, and farmer welfare. This article reviews literature based on 25 abstracts/research results on LP2B in Indonesia to map policy implementation patterns, the relationship between LP2B and regional spatial planning, inhibiting factors, and the direction of policy strengthening. The method used is a narrative review with thematic synthesis of normative legal studies, juridical-empirical, qualitative, mixed methods, and spatial-quantitative approaches. The results of the review indicate: (1) LP2B is highly dependent on the harmonization of spatial planning policies, especially RTRW/RDTR and licensing mechanisms based on KKPR-OSS; (2) many regions are still stuck at the land inventory-identification stage, not yet reaching the determination and operational protection through LP2B Regional Regulations; (3) dominant obstacles include regulatory asynchronous, weak law enforcement, minimal cross-agency coordination, limited data by name by address, suboptimal socialization, and conflicts of interest in non-agricultural development; (4) incentive-disincentive instruments have not been implemented consistently, although socially farmers tend to accept LP2B protection; and (5) quantitative evidence at the national level shows that LP2B policies have a positive effect on the percentage of rice fields, despite being suppressed by population density and real estate sector growth. This article emphasizes the need for an integrated spatial governance approach, strengthening regional institutions, and designing policies that are socially and environmentally just to ensure that LP2B is effective in maintaining regional food security.

This study analyzes the effect of digital payment implementation (X1) and transaction security (X2) on SME development (Y) with financial stability as a mediating variable (Z) in SMEs in Sorong City. This study examines the effect of digital payment implementation and transaction security on SME development with financial stability as a mediating variable. The study was conducted on MSMEs in Sorong City, Eastern Indonesia, using an explanatory quantitative approach. The data were analyzed using Partial Least Squares-based Structural Equation Modeling (SEM-PLS). The results of the study prove that the implementation of digital payments and transaction security has a positive and significant effect on financial stability. Furthermore, financial stability was found to have a positive and significant effect on MSME development, while fully mediating the effect of transaction security and partially mediating the effect of digital payment implementation on MSME development. These findings contribute to an integrated conceptual model that combines the technology acceptance paradigm with financial management theory, and provide a strategic roadmap for policymakers and implementation guidelines for MSME actors.

This study aims to analyze the discretion of family planning counselors in implementing contraceptive policies and the influence of acceptors' socio-demographic characteristics in Demak Regency. Using a mixed-methods approach with a sequential explanatory design, the study included 89 respondents for quantitative analysis and five key informants for in-depth interviews. The results showed a strong positive correlation between counselor discretion and acceptor socio-demographic characteristics (r = 0.646; p < 0.001), which explained 41.7% of the variance in discretionary practices. Counselors adapted communication strategies based on the age, education, geographic location, and culture of acceptors. Policy implementation faced obstacles in the counselor-community ratio (1:23) and the dominance of short-term contraceptive choices due to socio-cultural influences. Theoretical implications enrich the literature on street-level bureaucracy, while practical implications recommend strengthening counselors' capacity, increasing the ideal ratio, and implementing IEC strategies tailored to local culture. Limitations include a single geographic focus and a cross-sectional design. Future research is suggested to use longitudinal designs and multi-regional comparative studies to explore the dynamics of discretion in different socio-cultural contexts.