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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.

This study aims to analyze the utilization of Community Forestry, the role of farmers group, and the perceptions of livestock farmers who are members of “HKm Ulusena” Farmers Group regarding the utilization of the Ulusena Community Forest. This study was conducted from November 2024 to July 2025 in Ulusena Village, Moramo District, South Konawe Regency, Southeast Sulawesi Province. This study was conducted using a qualitative approach. The determination of informants was carried out using a non-probability sampling method with purposive sampling and snowball sampling techniques. Data sources in this study used primary and secondary data. Data collection was obtained through observation, interviews, and documentation. The data analysis process used the Miles and Huberman method, namely data reduction, data presentation, and drawing conclusions. The utilization of the Ulusena Community Forest is divided into three categories: land use, utilization and collection of non-timber forest products (NTFPs), and utilization of environmental services. Livestock serves as a secondary source of income for livestock farmers, members of the Ulusena Community Forest Farmer Group. Utilization in livestock involves the use of forest areas as land for growing green fodder. “HKm Ulusena” Farmers Group has not been actively operating, so a new group management structure was formed. The new management structure periodically carries out a process of increasing the capacity of regional, institutional, and business management to foster group synergy by reactivating group activities. Farmers' perceptions of the use of the Ulusena Community Forest tend to be positive. Positive impacts of the Ulusena Community Forest utilization include obtaining permits for non-timber forest product (NTFP) management, obtaining economic resources from NTFPs, and obtaining resources to support the livestock sector.

Pragmatics not only highlights language structure, but also the speaker's purpose and intention in a communication event. This study on representative and directive speech acts in the “Belajar Jadi MC” playlist on Maya Rachma's YouTube channel is important because social media, especially YouTube, has developed into an influential public space that shapes people's perspectives. This scientific article uses a theoretical approach in the form of a pragmatic approach and a methodological approach, namely a qualitative descriptive approach.  The techniques used by the researcher were the Simak Bebas Libat Cakap (SBLC) technique and the note-taking technique. These two techniques were used because the author did not interact directly but only listened and took notes from existing data. The results of the study found 8 types of representative speech acts and 4 types of directive speech acts. There were 65 representative speech acts, including 9 informative speech acts, 12 suggestive speech acts, 13 mentioning speech acts, 9 stating speech acts, 6 exemplifying speech acts, 9 explaining speech acts, 4 showing speech acts, and 3 speculating speech acts. Meanwhile, there were 33 instances of directive speech acts, including 9 requests, 7 invitations, 8 commands, and 9 orders. The author hopes that this research can be used as a reference for further studies on representative and directive speech acts and increase knowledge and insight in the field of pragmatics, especially in the study of representative and directive speech acts.  

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.

This study examines the evolving landscape of racket sports and its implications for injury patterns among diverse athlete populations. Over the past decade, traditional sports such as tennis and badminton have remained popular, while emerging sports like padel, pickleball, and beach tennis have experienced rapid growth, attracting participants across a wide age spectrum. However, the high-speed, repetitive, and multidirectional demands of these sports increase the risk of musculoskeletal injuries, making it essential to understand their epidemiology for effective prevention. This systematic literature review followed PRISMA 2020 guidelines, analyzing peer-reviewed studies published between January 2020 and early 2025 from databases including PubMed, ScienceDirect, Europe PMC, and Open Alex. A total of 22 studies met the inclusion criteria, comprising randomized controlled trials, cohort studies, and cross-sectional surveys. Methodological quality was assessed using the Cochrane Risk of Bias Tool (RoB 2) and the Newcastle-Ottawa Scale (NOS). The findings reveal significant variation in injury prevalence across sports, ranging from 34.2% in recreational pickleball to 92% in competitive padel. Badminton injuries were predominantly acute and affected the lower limbs, while tennis showed a higher incidence of overuse injuries in the upper limbs and trunk. Padel players frequently experienced elbow overuse injuries, with higher rates reported among females. In contrast, pickleball injuries were largely associated with falls among older adults. Preventive interventions involving supervised, sport-specific functional training and structured warm-up programs were found to be most effective. In conclusion, injury burden in racket sports is substantial and influenced by both intrinsic and extrinsic factors, highlighting the need for targeted, sport-specific prevention strategies.

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 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.

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.

Bureaucracies worldwide face increasing pressure to innovate due to rising citizen expectations, technological disruption, and fiscal constraints. The digital era offers significant opportunities to transform public service delivery by overcoming traditional administrative barriers. This study employs a multiple case study design, analyzing 18 innovative public service initiatives in Indonesia recognized for service innovation. Data were collected through document analysis, semi-structured interviews, and direct observations. Using Innovation Diffusion Theory and Institutional Theory, the study examines innovation adoption, implementation, and sustainability. The findings show that successful bureaucratic innovations share six key characteristics: strong leadership, citizen-centric design, effective use of digital technologies, incremental implementation, institutionalization through regulations, and external partnerships. However, major barriers include rigid regulations, risk-averse organizational culture, fragmented authority, limited resources, inadequate digital infrastructure, and political influences. Digital technology plays a crucial enabling role, yet it must be supported by organizational change, capacity building, and cultural transformation. This study provides policy recommendations to support regulatory reform, strengthen innovation systems, and foster innovation-friendly public sector environments.

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.

Stroke is one of the leading causes of death and long-term disability worldwide. Early detection and prompt first aid during the golden period are essential to improve patient outcomes, yet family knowledge regarding stroke management is often limited. This study aimed to analyze the effect of health education media, specifically audio-visual and leaflet, on family knowledge of early detection and first aid for stroke patients in the working area of Tamamaung Public Health Center, Makassar. This study used a quasi-experimental design with a two-group pre-test post-test approach. A total of 64 respondents were selected using purposive sampling and divided into audio-visual and leaflet groups. Data were collected using a structured questionnaire and analyzed using the Wilcoxon and Mann-Whitney tests. The results showed a significant increase in knowledge in both groups after the intervention (p = 0.000), with a significant difference between groups (p = 0.016), where audio-visual media was more effective than leaflets. These findings indicate that both media improve family knowledge, but audio-visual media is more effective and can be recommended as a primary educational tool to improve family preparedness in stroke emergencies.

Digital transformation in healthcare services is a strategic approach to improve access, efficiency, and service quality, particularly within Indonesia’s National Health Insurance (JKN) system. BPJS Kesehatan has introduced an online queue feature through the Mobile JKN application to minimize manual queuing and reduce waiting times in outpatient services. However, despite the widespread ownership of the application, its actual utilization for online queuing remains relatively low, including in a regional public hospital (RSUD) in West Bandung. This condition reflects a gap between the availability of digital health technology and patients’ actual usage behavior, highlighting the need to examine factors influencing adoption.This study aims to analyze the effects of perceived ease of use, social influence, and facilitating conditions on the actual use of the Mobile JKN online queue, with behavioral intention as an intervening variable among outpatients. A quantitative cross-sectional design was applied, involving 255 JKN outpatient participants selected through purposive sampling. Data were collected using structured questionnaires and analyzed using Structural Equation Modeling (SEM) with AMOS version 24, based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Data analysis included descriptive statistics, validity and reliability testing, normality assessment, goodness-of-fit evaluation, Three Box Method, and hypothesis testing.

This study aims to develop a web-based Electronic Medical Record (EMR) application to improve the efficiency and accuracy of patient data recording at Elopada Community Health Center. The research adopts a system development approach using the waterfall model, including requirements analysis, system design, implementation, and testing. Data were collected through observation, interviews, and documentation. The developed system was evaluated using Black Box Testing to verify the conformity between input and output without considering internal program structures. The results indicate that the EMR system enhances data processing speed, improves recording accuracy, and facilitates access to patient information. These findings are consistent with prior studies showing that EMR implementation improves the quality and efficiency of clinical documentation . Therefore, the proposed system is considered feasible to support the advancement of digital healthcare services.

This study aims to describe the event management of Kartini Humas Indonesia 2024 organized by Media Humas Indonesia as a form of appreciation for outstanding female public relations practitioners and as a strategy to build the reputation of Media Humas Indonesia. This research uses a descriptive qualitative method with a case study approach. Data were collected through in-depth interviews with four informants, non-participant observation, and documentation. The results show that the Kartini Humas Indonesia 2024 event was managed using Goldblatt’s five-stage event management approach: research, design, planning, coordination, and evaluation. The research stage involved identifying the needs and expectations of participants and target audiences. In the design stage, the committee developed creative ideas and defined the event’s characteristics. Planning focused on selecting the theme, location, and timing. In the coordination stage, communication and teamwork were key to the event’s successful execution. Evaluation was conducted through internal reflection and participant feedback. Furthermore, the event had a positive impact on the reputation of Media Humas Indonesia as the organizer, particularly in terms of reliability, credibility, and social responsibility. The study concludes that structured event management plays a crucial role in enhancing the reputation of the media as an event organizer in the public eye.

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 how social media–driven green marketing shapes sustainable consumer behavior through a systematic literature review. As concerns about sustainability intensify alongside rapid digital engagement, social media has emerged as a crucial platform for communicating environmental initiatives and influencing consumer responses. Despite this relevance, existing studies remain fragmented across theoretical, contextual, and methodological perspectives, limiting a holistic understanding of the topic. Using the PRISMA approach, this research reviews 42 empirical articles sourced from the Scopus database and analyzes them through the TCCM (Theory–Context–Characteristics–Method) framework. The findings show that most studies rely on intention-based theories, particularly the Theory of Planned Behavior, although there is a growing shift toward integrating social, psychological, and technology-oriented approaches. From a contextual standpoint, the literature is largely concentrated in Asian regions and younger demographics, which restricts broader generalization. Furthermore, results indicate that social media–driven green marketing does not directly affect sustainable behavior but works through important psychological mediators such as trust, engagement, and perceived value. These factors significantly influence how consumers interpret and respond to environmental messages online. The effectiveness of such marketing strategies is also shaped by cultural and demographic differences, making context a critical factor. Methodologically, most studies employ cross-sectional surveys and structural equation modeling, limiting the ability to capture causal and dynamic relationships. Overall, this study provides a structured synthesis, highlights research gaps, and suggests future directions, including cross-cultural analysis, stronger theoretical integration, and more rigorous research designs.

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.

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.