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This study critically examines the effectiveness of early intervention programs in addressing war-related trauma in the Middle East by meta-synthesizing forty-seven interventions implemented between 2010 and 2024. The analysis demonstrates that cognitive behavioral therapy (CBT) based interventions achieved a success rate of 78.3 percent with p value less than 0.001 in reducing post-traumatic stress disorder symptoms, with an effect size of d equal to 0.86 indicating substantial therapeutic strength. Group based interventions showed higher effectiveness (83.2 percent) than individual approaches (71.5 percent), and programs involving family support yielded better recovery outcomes (84.7 percent) than those without family involvement (69.3 percent). Regression analysis identified three primary predictors of successful intervention outcomes, namely intervention duration (beta 0.42, p value less than 0.001), therapist cultural competence (beta 0.38, p value less than 0.001), and the integration of social support systems (beta 0.35, p value less than 0.001). These findings expand on prior studies by Ennis et al. (2020) and Mawar et al. (2025), which were limited to evaluating CBT effectiveness, and also reinforce the significance of cultural dimensions and social support systems as critical determinants. In contrast to the meta analysis by Nocon et al. (2017), which reported an effectiveness rate of 65 percent for individual interventions, the present study reveals the superiority of group based approaches in communal Middle Eastern societies. The novelty of this study lies in its comprehensive identification of culturally sensitive determinants of early intervention success and the formulation of an integrative model positioning family support as an essential component in protocols for war-related trauma care.

The development of Islamic banking in Indonesia faces challenges in attracting customers, especially younger generations who are more familiar with digital technology. Digital marketing has become an important strategy for reaching a wider market segment through social media, websites, and mobile applications. This study uses a literature review method to analyze the effectiveness of digital marketing in increasing customer interest in Islamic banking. The results of the study show that educational, interactive, and transparent digital marketing can increase customer awareness, trust, and emotional attachment to Islamic products. The factors for the success of this strategy include content quality, ease of access to digital services, content segmentation according to customer profiles, and multichannel communication integration. However, the effectiveness of digital marketing is still limited by the scarcity of educational content, human resource capacity, and the level of digital literacy among the public. This study concludes that optimizing creative, personalized, and educational digital marketing strategies is key for Islamic banking to increase customer interest and loyalty.

The rapid development of digital technology demands that Islamic banks innovate to compete with conventional banks and digital financial institutions. This study aims to analyze the product differentiation strategies implemented by Islamic banks to increase competitiveness in the digital era. The research method used is a descriptive qualitative approach, with data collected through literature studies, interviews, and observations of Islamic banks' digital services. The results indicate that product differentiation strategies are implemented through the development of digital services based on Sharia principles, improving the quality of mobile banking services, and creating innovative products that meet the needs of millennials and digital natives. Furthermore, the application of the values of transparency, fairness, and sustainability serves as a competitive advantage that distinguishes Islamic banks from conventional competitors. In conclusion, the success of product differentiation in the digital era depends on the ability of Islamic banks to integrate technological innovation with Sharia values, thereby increasing customer trust and loyalty and strengthening their competitive position in the digital financial industry.

The development of digital da'wah demands a more in-depth, comprehensive, and data-driven methodological approach. However, contemporary da'wah research is still dominated by descriptive analysis that stops at mapping surface phenomena without exploring the underlying causal factors that determine the long-term effectiveness of da'wah. This weakness is increasingly apparent in the use of SWOT analysis, which has been widely applied in da'wah studies, but tends to be limited to producing categorization tables without an operational epistemic basis. Meanwhile, the era of digital da'wah presents a new, complex reality, where da'wah success is influenced not only by surface interactions such as the number of viewers, impressions, or follower growth, but also by latent factors such as audience cognitive motivation, platform algorithms, digital cultural context, identity construction, and societal value systems. This study aims to formulate a new methodological model through the integration of SWOT and the Iceberg approach to address this methodological stagnation. The research was conducted using qualitative methods based on literature analysis, comparative studies of strategic analysis models, and the construction of a conceptual model. The results show that the SWOT-Iceberg integration is able to produce a more multidimensional framework for digital da'wah analysis: SWOT diagnoses surface symptoms, while Iceberg explores patterns, causal structures, and mental models that shape phenomena. This combined model enables the development of more accurate, adaptive, and evidence-based da'wah strategies. It is concluded that the SWOT–Iceberg integration significantly contributes to the development of modern da'wah methodology by encouraging a shift from descriptive research to transformative diagnostic analysis, while simultaneously strengthening the scientific character of da'wah as an academic discipline based on a critical and measurable knowledge system.

Food-based micro, small, and medium enterprises (MSMEs) play a crucial role in supporting household economic growth, including in Sialang Village, Bangkinang Subdistrict. One of the local businesses, “Keripik Cabe dan Mie Kuning Bu Inun,” produces cassava chips using traditional frying methods, which result in high oil absorption, inconsistent quality, short shelf life, and low production efficiency. Limited knowledge of food processing technology, sanitation, and food safety standards further hinders business development. This community service program aims to address these challenges through the application of low-oil frying technology, training on Good Manufacturing Practices (GMP), production assistance, and periodic evaluation. The implementation method includes field observation, technical training, technology demonstration, production mentoring, and monitoring. The results show significant improvements in product quality, indicated by lower oil content, crispier texture, brighter color, and longer shelf life. Efficiency in oil usage and process stability also increased. Moreover, the knowledge and skills of MSME actors in sanitation, food safety, and production management improved considerably. Overall, the program successfully enhanced the competitiveness of the MSME, strengthened production sustainability, and provided positive economic impacts. This initiative can serve as a replicable model for other food MSMEs facing similar challenges.

TJSL/CSR in Indonesia is regulated as a legal obligation (mandatory) for companies engaged in the natural resources sector. Its success depends on the principle of accountability, which requires transparency and responsibility. This normative-juridical study evaluates the application of accountability principles in the mining sector. Normatively, PP 47/2012 requires CSR to be listed as an expense and focused on sustainable development (PPM). However, this regulation is not robust because it does not set a minimum fund allocation or clear program boundaries, allowing for multiple interpretations. Empirically (Sekotong case study), accountability is implemented in a formalistic manner, consisting only of one-way administrative reports without meaningful participation from the affected communities. A significant weakness is apparent when dealing with the increase in illegal gold mining (PETI) in legal concession areas. This situation results in a vacuum of responsibility. Companies can claim environmental damage caused by PETI, so that responsibility does not successfully ensnare corporate negligence in prevention efforts. The CSR accountability structure in Indonesia is weak because it only emphasizes activities that are carried out, not negligence that is overlooked. Regulatory reform is needed so that accountability includes passive responsibility to ensure that TJSL functions as a significant instrument of sustainable development.

This study examines innovative strategies to strengthen institutional and technological aspects of implementing the e-market retribution system to enhance transparency and accountability in Blitar Regency, East Java, Indonesia. The research employs a qualitative case study approach, utilising in-depth interviews with key informants from the Department of Trade, market managers, traders, and stakeholders, along with secondary data from official documents. The theoretical framework integrates New Public Management, Technology Acceptance Model, and Good Governance principles. Findings reveal that e-market retribution implementation faces both opportunities and challenges in institutional strengthening and technology adoption. Innovative strategies developed include: institutional restructuring through clear role division; capacity-building programs for human resources; technological integration through QRIS digital payment systems; stakeholder engagement through participatory approaches; and monitoring and evaluation mechanisms to ensure accountability. The study concludes that successful implementation requires a comprehensive approach combining institutional strengthening, technological readiness, and stakeholder collaboration. This research contributes to the literature on digital transformation in local government revenue management and provides practical recommendations for regions implementing similar innovations

This study analyses the challenges of digitalising registration services at Primary Healthcare Facilities (Fasilitas Kesehatan Tingkat Pertama, FKTP) in East Java, including limitations in human resources, technological infrastructure, and public digital literacy, all of which affect the satisfaction of National Health Insurance (Jaminan Kesehatan Nasional, JKN) patients. Utilising the Systematic Literature Review (SLR) methodology with the PRISMA approach, the study reviews literature from 2024–2025 sourced from databases such as Google Scholar, using keywords related to digitalisation, FKTP, and patient satisfaction. The analysis is based on the ADO (Antecedent, Decision, Outcome) framework. The findings identify three key factors: (1) Antecedents (human resource competence, infrastructure, digital literacy); (2) Decisions (human resource training, facility modernisation, public outreach); and (3) Outcomes (increased patient satisfaction through time efficiency and ease of access). The study emphasises the need to strengthen human resources, provide adequate infrastructure, and educate the public to ensure the sustainability of digital healthcare services at FKTPs in East Java.

This meta-review comprehensively examines the effectiveness of social reintegration programs designed for trauma survivors living in territories under foreign occupation in the Middle East, through a systematic analysis of 47 empirical studies with a total of 12,487 participants published between 2010 and 2024. The synthesis indicates that program success rates reached 73.8 percent with a 95 percent confidence interval (70.2–77.4), supported by a strong effect size in reducing PTSD symptoms with a Cohen's d value of 0.82. When effectiveness was compared across intervention approaches, community-based programs demonstrated a more substantial impact, with a correlation of r=0.67 (p<0.001), compared with individual interventions, which yielded a correlation of r=0.43 (p<0.01).

This study investigates strategies for improving social rehabilitation services for people with physical disabilities through technology-based approaches and family involvement at UPT Social Rehabilitation Bina Laras Pasuruan, East Java. Employing a qualitative case study design, data were collected through in-depth interviews, focus group discussions, observation, and documentation with rehabilitation staff, persons with disabilities, family members, and technology specialists. Findings reveal that integrating digital technologies—including mobile health applications, telemedicine platforms, and assistive devices—significantly enhances service accessibility and monitoring capabilities. Structured family involvement programs, encompassing psychoeducation sessions, home-based care training, and support groups, demonstrate substantial improvements in rehabilitation outcomes. Critical success factors include adequate technological infrastructure, staff digital literacy, family commitment, and inter-agency coordination. Challenges include the digital divide, resistance to technological adoption, and sustainability concerns. The research concludes that a hybrid model combining technology-enabled services with intensive family participation offers the most promising approach and recommends policy frameworks that institutionalise these innovations while ensuring equitable access across diverse beneficiary populations

This study discusses the design of visual branding for Ederma Clinic Semarang through influencer collaboration content. The researcher acts as the influencer to produce creative visual content that represents Ederma Clinic’s identity, increases engagement, and strengthens brand awareness among young women audiences. The research method used is qualitative descriptive with data collection through observation, interviews, documentation, and content analysis. The results show that influencer collaboration can improve brand perception, social media engagement, and customer interest in Ederma Clinic. The designed visual content successfully strengthens brand positioning as a trusted and modern beauty clinic.  

This study aims to develop and implement a web-based Library Information System as a means to enhance literacy within the Kampoeng Baca Pelangi (KBP) Community. The system is designed to simplify library data management processes that were previously performed manually, including book cataloging, member registration, borrowing, returning, and the generation of operational reports. The development process follows the Waterfall method, starting from requirement analysis, system design, implementation, up to system testing. The results indicate that the system successfully meets the primary needs of the library administrators, based on feasibility testing involving internal KBP respondents. Evaluation through a Likert-scale questionnaire produced a score of 94%, indicating that the system falls into the “Highly Feasible” category for use. Features such as book data management, borrowing/return transaction processing, collection search, and report generation are proven to enhance the efficiency and accuracy of library operations.

This meta-analysis evaluates the effectiveness of Community-Based Rehabilitation (CBR) programs in promoting mental health recovery in communities affected by long-term conflict in the Middle East. Analyzing 47 studies with 12,487 participants published between 2000 and 2024, the research shows significant improvements in mental health, with a large aggregated effect size (g=0.83, 95% CI [0.76, 0.90]). Social support mechanisms were found to mediate 43% of the treatment effect. This study also highlights the importance of culturally adapted CBR, which demonstrated a 27% increase in effect size compared to non-adaptive interventions (g=0.92 vs. g=0.72, p<0.001). Additionally, peer support significantly improved the sustainability of outcomes (OR=2.14, 95% CI [1.87, 2.41]). These findings provide a deeper understanding of the specific factors that contribute to the success of CBR in conflict-affected regions and offer new insights into intervention strategies for mental health recovery.

The persistent issue of high youth unemployment among Senior High School (SHS) graduates necessitates cultivating an entrepreneurial mindset through formal education, making Entrepreneurship Education (EE) a national strategic imperative. This Systematic Literature Review (SLR) critically analyzed 15 empirical articles, selected via the strict PRISMA protocol, to evaluate the effectiveness of diverse EE curriculum models in enhancing students' Entrepreneurial Interest (Intention) and Attitude. The key finding is that EE implementation is substantially effective only when executed through active, experience-based pedagogical models such as Experiential Learning, Project-Based Learning (PjBL), and the Teaching Factory which are superior in fostering practical competency and significantly boosting Entrepreneurial Self-Efficacy and positive Attitude, consistent with the Theory of Planned Behavior. Successful implementation also critically depends on robust operational factors, including structured curriculum management (e.g., PDCA cycle) and the availability of competent teachers. In conclusion, the findings provide a strong evidence-based framework, recommending that policymakers prioritize experiential models and integrate modern elements like Digital Literacy and Non-cognitive Skills to produce SHS graduates with genuine entrepreneurial readiness.

This community service initiative aims to strengthen the pedagogical competence of vocational teachers in Indonesia through an In-House Training (IHT) program focused on Deep Learning-Based Instructional Management. Conducted at SMK Diponegoro Semarang, Indonesia on September 29, 2025, the activity involved 18 teachers from diverse vocational disciplines. The training adopted an andragogical and participatory design emphasizing active learning, reflection, and collaboration. Data were collected through reflective journals, and focus group discussions. The results indicated substantial improvement in teachers’ conceptual understanding and practical application of deep learning strategies in lesson planning and classroom management. The program successfully fostered a professional learning culture and strengthened teachers’ readiness to implement student-centered, reflective, and innovative pedagogy. This initiative demonstrates that school-based in-house training can effectively empower vocational teachers and enhance instructional quality in Indonesia’s vocational education system.

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

Knowledge must be managed effectively to facilitate transfer between individuals, groups, and organizations. The Informatics Engineering study program currently lacks a system for knowledge management. Currently, the study program facilitates offline discussion forums for the sharing of knowledge gained by lecturers and students. These offline discussion forums require significant costs, time, and space, often resulting in delays in knowledge sharing. This research focused on the analysis and design of a Knowledge Management System to meet the needs of Informatics Engineering students at Universitas PGRI Madiun. The system development method used was the Knowledge Management System Lifecycle (KMSL). In this study, the TIF KMS system using the KMSL method has been successfully built. The results of testing using the Blackbox Testing method showed that 5 scenarios and 18 cases were successfully executed as expected with a 100% success rate. Based on the system test results, the TIF KMS is ready to proceed to the implementation stage. Future implementation can be done by developing additional features such as a digital library

The Nanga Sira Mangrove Forest Tourism Area is an ecotourism destination with significant natural potential that has not been utilized optimally. The managing community faces constraints in aspects of digital marketing, educational content development, governance, and supporting facilities. This community service program aims to implement strategic collaboration between higher education institutions and the community to increase tourist visits through a participatory action research approach. The implementation method includes four main stages: observation, participatory planning, activity implementation, and monitoring and evaluation. Core activities conducted include digital marketing training and creative content creation, development of environmental conservation education materials, improvement of tourism governance systems, and physical infrastructure enhancement. Evaluation results show a significant increase in community capacity with a 75% rise in social media interactions and 40% growth in tourist visits over a two-month period. This program successfully proves that the higher education-community collaboration model is effective as a strategy for sustainable tourism development. Recommendations include the importance of continuous mentoring and the development of more innovative tourism packages.

The utilization of Artificial Intelligence (AI) in the workplace has expanded rapidly, focusing not only on improving efficiency but also on strengthening human resource capacity. This review article aims to analyze the contribution of AI in supporting the development of soft skills and the formation of adaptive professional personalities. The method employed is a literature review of academic publications related to the use of AI in developing nontechnical competencies. The findings indicate that AI has been proven to enhance efficiency and productivity through the automation of routine tasks, faster data analysis, and more precise decision-making support. However, the success of AI implementation does not lie in replacing human roles but rather in harmonizing the functions of machine intelligence with the unique abilities of humans, such as empathy, intuition, creativity, and ethical reasoning. Human–AI collaboration emerges as a key approach to ensuring that technology remains human-centered, enabling digital transformation to proceed ethically, inclusively, and sustainably. Additional findings show that AI is capable of providing personalized learning, real-time feedback, and contextual simulations that effectively train communication, collaboration, problem-solving, creativity, and critical thinking skills. Human-centered AI integration also supports the development of professional personalities that are adaptive and responsive to change.

The development of digital technology has greatly influenced consumer behavior, particularly among Generation Z, who are dominant in Indonesia's hijab fashion market. This shift requires businesses to adapt their strategies to meet the dynamic, trend-driven, and digitally-savvy preferences of young consumers. This study examines the business development strategy of Leenavie.id, a hijab brand, and the challenges it faces in targeting Generation Z. Using a qualitative approach with case study methodology, in-depth interviews with business owners were conducted to gain insights into the business development process. The findings show that Leenavie.id focuses on product innovation, competitive pricing, social media as a primary distribution and promotion channel, and leveraging e-WOM for brand awareness and emotional connections with consumers. Success indicators include a high repeat order rate, positive market response, and external collaboration offers. However, challenges such as limited capital, small production capacity, and underutilization of the marketplace hinder scalability. The study suggests that enhancing digital adaptation, strengthening operational capacity, and fostering strategic collaborations are key to improving the competitiveness and sustainability of local hijab businesses. Future research should include consumer perspectives for a more comprehensive understanding of customer behavior and loyalty.