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Public service quality has emerged as a crucial metric for assessing how well the government functions and the efficiency of its administration. Recently, rising expectations from the public have led gov-ernments to offer services that are open, responsible, effective, and attuned to citizens' needs. Alongside administrative changes and the evolution of governance models focused on efficiency and citizen satisfaction, the appetite for high-quality public services has surged. Nonetheless, numerous public entities continue to struggle with providing reliable and top-notch services due to a lack of defined service norms and systems for measuring performance. The purpose of this research is to investigate ways to enhance public service quality by establishing robust service standards and quantifiable performance metrics. The study employs a qualitative descriptive methodology, drawing on a review of relevant lit-erature from the past seven years. Multiple academic sources were analyzed to uncover essential ideas, frameworks, and empirical evidence concerning public service management, the enhancement of service quality, and the assessment of performance in governmental organizations. The results show that adopting well-defined service standards, along with measurable performance metrics, can greatly en-hance service effectiveness, accountability, and overall public satisfaction. Additionally, merging prin-ciples of service excellence with quantifiable indicators promotes transparency, boosts organizational performance, and fosters ongoing improvements in service delivery. The research concludes that to enhance public service quality, a structured framework for service standards, ongoing performance assessments, and a firm organizational dedication to innovation and service enhancement are necessary.

This study analyzes the governance performance of information systems at the Career Center of Universitas Muhammadiyah Jambi using the COBIT 2019 framework. The primary objective is to evaluate the maturity level of IT governance and provide recommendations to enhance the efficiency and effectiveness of information systems in supporting the institution’s strategic objectives. Data were collected through interviews, observations, and questionnaires involving system users and decision-makers within the Career Center. The findings indicate that several areas require greater attention, particularly Managed IT Changes, Managed Risk, and Managed Operations. These domains are considered critical in improving the management and reliability of the existing information systems. The study also identifies several challenges affecting system performance, including limited system integration, insufficient human resources, and the use of outdated technology. Based on these findings, the research recommends strengthening the organizational structure, improving the competence of human resources, and optimizing IT processes in accordance with COBIT 2019 standards. Implementing these improvements is expected to increase IT governance maturity, enhance service quality for students and alumni, and better support the university’s strategic development goals.

This study aims to identify the learning needs of deaf students in internship programs, examine the challenges they face, develop appropriate solutions, and design as well as evaluate a visual module-based learning model to improve their work skills. The study used a Research and Development (R&D) approach with a 4D model: Define, Design, Develop, and Disseminate. The participants included deaf students from special needs high schools (SMALB) involved in vocational internships, mentor teachers, and industry supervisors. Data were collected through observation, interviews, questionnaires, documentation, and focus group discussions, and analyzed using qualitative techniques supported by descriptive analysis. The findings indicate that deaf students require visual, structured, and easily understandable work instructions supported by symbols, color codes, and guidance materials. Major challenges include limited verbal communication, difficulty understanding instructions, and risks of procedural errors. To address these issues, a systematic and communicative visual module-based learning model was developed, incorporating collaborative support from schools and industry. The resulting model integrates planning, implementation, mentoring, and evaluation stages, and has proven feasible and effective in enhancing students’ independence, technical competence, and overall work readiness.

Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation. Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation.

Leadership constitutes a critical determinant of organizational efficiency, yet the relationship between leadership styles and administrative effectiveness remains incompletely understood, particularly across different institutional contexts. This comparative study examines how transformational, transactional, and laissez-faire leadership styles influence administrative efficiency in public and private sector institutions in Indonesia. Using a mixed-methods approach, quantitative data were collected from 428 employees across 28 public institutions and 24 private organizations through validated survey instruments; qualitative data were gathered through 36 semi-structured interviews with organizational leaders and managers. Results reveal significant positive relationships between transformational leadership and administrative efficiency in both sectors (β = 0.54, p < 0.001 for public; β = 0.48, p < 0.001 for private), with transactional leadership showing moderate positive effects (β = 0.32 public; β = 0.38 private) and laissez-faire leadership demonstrating negative relationships (β = −0.28 public; β = −0.24 private). Leadership styles collectively explain 52% of efficiency variance. Mediation analysis reveals that organizational culture (28%), employee engagement (35%), and trust in leadership (22%) partially mediate transformational leadership's effects, together accounting for 62% of total indirect effects. Sector differences emerged qualitatively: transformational leadership leverages public service motivation in public institutions, while transactional leadership's performance accountability resonates more strongly in private organizations. The study contributes theoretical understanding of leadership effectiveness across institutional contexts and provides practical guidance for developing contextually appropriate leadership development programs.

The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experimental conditions, with a particular focus on generalization performance and overfitting mitigation. Two neural architectures, a Long Short-Term Memory (LSTM) network and a Transformer-based attention model, are trained on publicly available API call sequence data for binary classification of malicious and benign executables. Beyond standard accuracy metrics, the study further examines model stability, convergence behavior, and the impact of long-range dependency modeling on detection robustness. Experimental results demonstrate that the Transformer architecture achieves superior performance, attaining 95.54% classification accuracy and consistent improvements in precision, recall, and F1-score, indicating a stronger ability to capture complex behavioral dependencies. These findings highlight the effectiveness of attention mechanisms in behavioral malware modeling and provide empirical evidence that NLP-inspired architectures offer a robust and scalable approach for real-world cybersecurity applications.

The development of digital media has transformed Islamic da’wah into a digitally mediated form of religious communication, reshaping structures of authority, engagement, and community formation. However, existing research remains fragmented and lacks a comprehensive structural map. This study conducted a Systematic Literature Network Analysis (SLNA) of Scopus-indexed publications on Islamic da’wah via digital platforms from 2016 to 2026. Using PRISMA-based screening techniques and bibliometric methods—including co-authorship, co-citation, and co-occurrence analyses with VOSviewer—the study analyzed 74 peer-reviewed journal articles. The results indicate a significant increase in the number of publications, particularly following the COVID-19 pandemic. The field is structured around four main themes: platform-based engagement strategies, youth identity formation, digital authority and ethics, and the adaptation of prophetic communication principles to the online context. Although Indonesia and Malaysia dominate the research output, the collaborative network remains relatively dispersed. New topics such as the influence of algorithms and AI-supported da‘wah suggest an expansion toward interdisciplinary directions. This study provides the first comprehensive map based on Scopus for research on Islamic digital da‘wah and offers a foundation for future theoretical and empirical development.

The customary forest of Sub-Tribe Afsya, Bariat Village, South Sorong Regency, Southwest Papua is a lowland tropical rainforest of approximately 2,500 hectares managed under the indigenous "Sasi Adat" system. This study aimed to determine bird species diversity, evenness of distribution, and the relationship between bird communities and vegetation structure. Research was conducted in January 2026 using a combination of line transect and point count methods along five 1,000-meter transects, observed in the morning (06:00–10:00 WIT) and afternoon (15:30–18:00 WIT). Data were analyzed using the Shannon–Wiener Diversity Index (H’), Simpson's Dominance Index (D), Evenness Index (E), and vegetation Important Value Index (IVI). The study recorded 30 bird species from 16 families with 492 individuals, including 12 Papua-endemic species protected under Minister of Environment and Forestry Regulation No. P.106/2018. H’ values ranged from 1.197 to 2.472 (moderate to high); dominance was low to moderate; and evenness ranged from 0.668 to 0.933, with most transects showing high evenness (E > 0.75). Vegetation was dominated by damar trees (Agathis labillardierei) and fruiting trees synergistically supporting frugivore, insectivore, and nectarivore bird guilds. The Sasi Adat management system demonstrably contributes to habitat quality, rendering this forest of significant conservation value for Southwest Papua's avifauna.

Zakat is a key instrument in the Islamic economic system, functioning as a mechanism for income redistribution and poverty alleviation. However, zakat management at the level of mosque-based Zakat Collection Units (Unit Pengumpul Zakat/UPZ) still faces significant challenges, particularly in terms of managerial capacity, administrative systems, and institutional governance. This community service project aims to optimize the collection and distribution of zakat through capacity building of the UPZ management at Al-Hidayah Mosque, Mandailing Natal. The study employed a participatory approach consisting of observation, joint planning, socialization, training, mentoring, and evaluation stages. Data were collected using observation, interviews, and structured questionnaires administered through pre-test and post-test to measure participants’ knowledge improvement. Data analysis was conducted using a descriptive comparative method to assess changes before and after the intervention. The results indicate a significant improvement in the managerial capacity of UPZ administrators, as reflected by an increase in the average score from 55% in the pre-test to 80% in the post-test. In addition, improvements were observed in zakat management practices, including the establishment of simple financial recording systems, the development of a structured database of donors (muzakki) and beneficiaries (mustahik), and enhanced transparency and accountability. Qualitatively, the program also fostered behavioral change among administrators, the emergence of local leadership, and increased public trust in the UPZ. This study concludes that participatory-based socialization, training, and mentoring are effective in strengthening institutional capacity and optimizing zakat management at the grassroots level. The findings highlight the importance of governance and capacity building in enhancing the effectiveness of community-based zakat institutions.

Adolescence is a transitional stage of development characterised by rapid biological, psychological, and social changes that increase vulnerability to the emergence of problematic behaviour. The increase in cases of juvenile delinquency highlights the importance of early detection as a prevention strategy. This study aims to examine the role of families and schools in the early detection of problematic behaviour in adolescents through a systematic literature review. The study used a systematic literature review method by analysing scientific articles published between 2021 and 2026 that discussed family involvement, the role of schools, and early detection of adolescent behaviour. Data were collected through a structured process of searching, selecting, critically evaluating, and synthesising the literature. The results showed that family factors such as parenting styles, emotional support, communication quality, and supervision have a significant influence on adolescent behavioural development. Schools also play a strategic role through counselling services, behavioural screening, mental health education, and collaborative interventions. Effective early detection occurs when families and schools work together through continuous communication and coordinated monitoring. Therefore, the role of families and schools is to strengthen efforts to identify and prevent behavioral problems so that interventions can be carried out more quickly to support the social and emotional well-being of adolescents. Strengthening collaboration and structured detection systems are important steps in reducing the risk of problematic behaviour in adolescents.

This study aims to design and develop a waste complaint information system at the Environmental Agency of West Sumba Regency to improve the effectiveness of public services. The current problem lies in the manual complaint process, which leads to delays in handling reports, poor data documentation, and limited service transparency. This research employs a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation studies. The system development adopts the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is modeled using Unified Modeling Language (UML), including use case diagrams, activity diagrams, and sequence diagrams to provide a structured representation of the system. This approach is considered effective as it ensures a systematic and well-organized development process. The results indicate that the developed system facilitates the public in submitting complaints online and assists the agency in managing complaint data in an integrated manner. Furthermore, the system enhances response time, transparency, and service efficiency. Therefore, this waste complaint information system can serve as a technological solution to improve the quality of public services.

This study aims to design and develop a web-based waste collection scheduling system using PHP and MySQL at the Environmental Agency of West Sumba Regency. The main problem faced is that the scheduling process is still carried out manually, resulting in inefficiency, susceptibility to errors, and difficulties in monitoring and reporting. The system development method used is the Waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance stages. The developed system provides features for managing data on personnel, regions, vehicles, and structured waste collection scheduling. In addition, the system is equipped with notification features, schedule monitoring, and performance reporting that can be accessed by management. The results of this study indicate that the system improves effectiveness and efficiency in scheduling processes and facilitates supervision of waste collection activities. Therefore, the implementation of this system is expected to optimize and organize waste management in West Sumba Regency.

This study aims to design and implement an information technology-based economic and tourism potential mapping system in Tema Tana Village. This village faces several problems, including manual data management, limited access to information, and the absence of an integrated system for efficiently presenting village potential data. This study uses a descriptive approach with data collection techniques through observation, interviews, and documentation studies. In developing the system, the Waterfall method is used, consisting of the stages of planning, design, implementation, and testing. The system design was carried out using the Unified Modeling Language (UML) to ensure a clear system structure and flow. The results of the system development indicate that the system is able to present information in the form of interactive digital maps and reports that are easily accessible to users. Testing using the Black Box Testing method shows that all system features function well and are in accordance with predetermined needs. Thus, this system is expected to improve the effectiveness of data management and support better decision-making processes in developing village potential, particularly in the economic and tourism sectors.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

Limited understanding of inheritance law and village financial management among village officials remains a significant issue that may trigger social conflict and weaken village governance effectiveness. This community service program aims to strengthen the capacity of village officials through inheritance law socialization and assistance in village financial management. The activity employed a descriptive method with a participatory approach. Implementation was carried out through structured socialization sessions, interactive discussions, and direct technical assistance adjusted to village administrative practices. Data collection techniques included observation, documentation, and pre-and post-activity evaluations to measure participants’ understanding. The results demonstrate an improvement in village officials’ knowledge of basic inheritance law principles and their awareness of transparent, accountable, and regulation-based village financial management. Furthermore, the program enhanced officials’ understanding of their strategic role in addressing community legal issues and supporting good village governance. Overall, this activity contributes to improving the professionalism and accountability of village administration in delivering community-oriented public services.

This study aims to analyze the factors influencing the implementation of Regional Regulation of Gorontalo Regency Number 04 of 2014 concerning the Control of Livestock in Ilomata Village, Bilato District. This research employs an empirical legal method with a sociological juridical approach to examine law not only as written norms but also as a social practice within society. Data were collected through interviews with village officials, regional regulation enforcement officers, and livestock owners, as well as through documentation and literature studies. The collected data were analyzed qualitatively using Lawrence M. Friedman’s legal system theory and Soerjono Soekanto’s theory on factors influencing law enforcement. The results indicate that the implementation of the regional regulation has not been optimal. The influencing factors include legal substance, legal structure (law enforcement officers), facilities and infrastructure, community factors, and legal culture. Normatively, the regulation contains clear provisions; however, its implementation is hindered by inconsistent enforcement, limited supporting facilities, and low levels of public legal awareness. Legal culture and the lack of consistency among law enforcement officers are the most dominant factors affecting the effectiveness of the regulation’s implementation. Therefore, it is necessary to strengthen consistent law enforcement, improve supporting facilities, and undertake continuous efforts to build public legal awareness in a participatory manner.

Anemia during pregnancy remains a major public health concern with significant implications for maternal and fetal health. One contributing factor to its high prevalence is the limited knowledge among pregnant women regarding early detection. Health education serves as a crucial promotive-preventive strategy to enhance awareness of anemia’s signs, symptoms, and risks. This study aimed to analyze the effectiveness of health education in improving knowledge of early detection of anemia among pregnant women in the Galala Community Health Center working area. A pre-experimental one-group pretest–posttest design with a quantitative approach was employed. The sample consisted of 30 pregnant women selected using total sampling. Respondents received structured health education on early detection of anemia, and their knowledge levels were assessed before and after the intervention using a questionnaire. Data were analyzed using univariate and bivariate methods, with the Wilcoxon signed-rank test applied due to non-normal distribution. Results indicated a significant improvement in knowledge after education (p = 0.000), with most respondents shifting from poor or moderate knowledge to good knowledge. The study concludes that health education effectively increases pregnant women’s knowledge of anemia detection and should be systematically integrated into antenatal care to prevent anemia and improve maternal health outcomes.

This study examines the predictive influence of religious habituation and teacher role modeling on students’ emotional intelligence in an Islamic elementary school context. A quantitative approach with an ex post facto design was employed, involving 78 students selected through total sampling. Data were collected using Likert-scale questionnaires and analyzed using multiple linear regression. The findings indicate that religious habituation has a positive and significant effect on students’ emotional intelligence, while teacher role modeling demonstrates a relatively stronger contribution. Simultaneously, both variables significantly predict emotional intelligence, explaining 74.9% of its variance. These results suggest that students’ socio-emotional development is shaped by the integration of structured religious practices and pedagogical modeling within the school environment. The study contributes to the ecological-religious perspective on character education by emphasizing the importance of consistent spiritual habituation and teachers’ personal competence in fostering emotional regulation and social skills. Practically, Islamic elementary schools are encouraged to strengthen religious culture programs and support teachers’ emotional and moral development to enhance students’ emotional intelligence.

This study explores student agency in Artificial Intelligence (AI)-supported STEM learning environments, addressing a critical gap in existing literature that predominantly focuses on learning outcomes rather than learner-centered processes. Drawing on an interpretive qualitative approach, this research investigates how students experience autonomy, self-regulation, and decision-making when interacting with AI technologies in STEM education. Data were collected from 15 participants engaged in AI-supported learning through in-depth semi-structured interviews, supported by observations and document analysis. The data were analyzed using thematic analysis to identify recurring patterns and meanings related to student agency. The findings reveal that student agency is a dynamic and multidimensional construct shaped by the interplay between technological affordances and learner engagement. Four major themes emerged: enhanced autonomy, development of self-regulated learning, negotiated decision-making, and ambivalent dependency on AI. While AI technologies provide adaptive support that empowers students to take control of their learning, they also introduce the risk of over-reliance, which may reduce cognitive engagement. This study contributes to the theoretical advancement of student agency by conceptualizing it as a spectrum rather than a fixed attribute, highlighting the dual role of AI as both an enabler and a constraint. The findings offer important pedagogical implications for designing AI-supported STEM learning environments that promote active, reflective, and responsible learning. Future research is recommended to explore this phenomenon across diverse contexts and through longitudinal designs.

This study analyzes the dynamics of "Early Marriage and Shattered School Hopes" regarding eroded psychological well-being and pawned adolescent ideals in Brebes Regency. Using a qualitative case study design, data were gathered via in-depth interviews, participatory observation, and document analysis from eight informants, processed using Miles and Huberman's interactive model. Findings reveal early marriage is not merely a social event but systemic trauma damaging psychological structures through three aspects: first, victims' psychological conditions marked by identity loss, prolonged anxiety, and "fatalistic resignation"; second, lost educational access due to interactions of "normative-cultural coercion," "institutional structural barriers," and "economic-domestic double burdens"; third, manifestations of buried ideals comprising "hindered academic grief," "identity cognitive conflict," and "internalized existential despair." The research proves education loss from early marriage destroys human potential, altering character, leaving spiritual voids, and perpetuating intergenerational poverty cycles, thus urgently demanding holistic interventions including psychosocial rehabilitation and alternative education pathways. This study's main contribution is introducing the "systemic trauma" concept that actively extinguishes adolescents' existential hopes, filling literature gaps by providing a detailed psychological map to formulate recovery policies previously neglected in early marriage prevention discussions.