This research aims to develop and implement a project-based civic education model integrated with local wisdom to improve elementary students’ social participation. The background of this study stems from the lack of student engagement in Civic Education (PKn), which is often taught in a theoretical and non-contextual manner. This study employs a mixed-method approach using classroom action research in a fourth-grade class at a public elementary school. Data were collected through observation, interviews, questionnaires, documentation, and learning outcome tests. The findings indicate that project-based learning activities rooted in local values such as cooperation, mutual respect, and environmental care significantly enhanced students' social awareness and active participation in school and community life. Students were more engaged, collaborative, and empathetic. The results suggest that integrating local cultural values within project-based learning provides meaningful experiences that support the goals of Civic Education. This model can serve as an alternative instructional strategy aligned with the Merdeka Curriculum and the Profile of Pancasila Students framework.
 

Study This analyze the role of Waqf Bank Micro (BWM) in increase performance of MSMEs in Surabaya, with capitalization as variable mediation . Focus main covers access financing , human resource development, and literacy finance, using approach quantitative through survey against 90 MSME actors fostered by BWM Al- Fithrah Wava Mandiri . Analysis using SEM with SmartPLS 4.0 shows that third variable influential significant to performance of MSMEs, both in a way direct and through capitalization . Capitalization become the most dominant mediator ( coefficient 0.581; p-value 0.000). Findings This confirm role BWM doubles as institution financing and empowerment . In theoretical , results This support theory Resource-Based View (RBV) and its importance financing accompanied by strengthening capacity business in a way holistic.

Public service advertisement (PSA) is one of the mass communication strategies used to convey social messages to the public. The purpose of this study was to analyze the influence of PSA on changes in people's social behavior, especially in environmental and health issues. The results of the study showed that PSA has a significant influence on increasing awareness and changing people's behavior, especially in terms of disposing of waste in its place and reducing the use of single-use plastic.

Social problems in elementary schools are an important aspect in children's social development. However, social problems can arise and affect students' emotional well-being and academic achievement. This study aims to identify social problems that commonly occur in elementary schools and analyze their impact on students. This research method uses literature studies and case analysis to understand the dynamics of social problems in elementary schools. The results of the study indicate that social problems in elementary schools are often related to bullying, difficulty interacting with peers, and the influence of the school environment. The impact of these problems can be emotional stress, decreased academic achievement, and difficulty in building healthy social relationships. This study recommends the importance of early intervention and support from teachers and parents to overcome social problems in elementary schools and create a safe and supportive school environment. Thus, students can develop optimally and achieve their academic and social potential.

This study uses a descriptive qualitative approach to understand managerial practices through in-depth interviews, participant observation, and documentation of KopJel One coffee business actors. This study aims to analyze the master strategy applied in long-term planning in coffee businesses in Bangka Belitung. The results of this study indicate that business owners apply a differentiation strategy to increase sales of coffee products, such as through product innovation, quality improvement, and local supplier support. In addition, a key component of their long-term strategy is the implementation of an intense growth strategy through market penetration and product development. This study highlights the importance of a strategy that is in line with the state of the business environment and the company's internal capabilities. The implications of this phenomenon can be a guide for MSME actors in the agricultural sector when they consider business strategies.

Pendapatan negara sebagian besar berasal dari pajak, yang berperan penting dalam stabilitas ekonomi dan pembangunan nasional. Meskipun rasio kepatuhan formal dalam penyampaian Surat Pemberitahuan (SPT) Tahunan terus meningkat, masih banyak Wajib Pajak yang mengalami kendala dalam pengisian dan pelaporannya, terutama melalui e-Filing. Salah satu penyebab utama adalah keterbatasan pengetahuan perpajakan serta minimnya pendampingan dalam proses pelaporan pajak. Untuk mengatasi permasalahan ini, PKN STAN bekerja sama dengan KPP Pratama Pondok Aren mengadakan program pengabdian masyarakat bertajuk “Optimalisasi Kepatuhan Pajak dan Peningkatan Pengetahuan Masyarakat Melalui Pendampingan Penyampaian SPT Tahunan Orang Pribadi Tahun 2024.” Kegiatan ini dilaksanakan dari Februari hingga Juni 2024 dengan metode sosialisasi dan pendampingan langsung kepada Wajib Pajak Orang Pribadi. Hasil kegiatan menunjukkan bahwa program ini berkontribusi dalam meningkatkan pemahaman dan kepatuhan Wajib Pajak dalam memenuhi kewajiban perpajakannya. Keberhasilan ini menegaskan bahwa kolaborasi antara akademisi dan instansi perpajakan efektif dalam meningkatkan literasi pajak masyarakat. Oleh karena itu, program serupa direkomendasikan untuk diterapkan secara berkelanjutan guna mendukung optimalisasi penerimaan negara melalui pajak.

Kabupaten Semarang merupakan destinasi pariwisata yang kaya akan keindahan alam, keberagaman budaya, dan warisan sejarah yang memukau. Untuk mengoptimalkan potensi pariwisata ini, diperlukan inovasi dalam memberikan informasi kepada wisatawan. Penelitian ini menerapkan metode Goal Directed Design (GDD) untuk merancang aplikasi Kabupaten Semarang Virtual Tourism Destination yang bernama "Tourism Gemspace", yang bertujuan untuk memudahkan wisatawan dalam mencari destinasi dan memperkenalkan potensi pariwisata. Fokus pada perancangan UI/UX aplikasi penelitian ini melibatkan enam tahapan GDD, yaitu Research, Modelling, Requirement, Framework, Refinement, dan Support. Hasil evaluasi diuji dengan System Usability Scale (SUS) dan diperoleh rata-rata skor 76,10 yang menunjukkan kepuasan pengguna dan kualitas yang memuaskan dari UI/UX aplikasi yang dirancang. Secara keseluruhan, UI/UX aplikasi dinilai baik oleh responden dengan Grade B, yang menunjukkan bahwa kualitas sistem yang dirancang telah memenuhi harapan pengguna. Dengan demikian, penelitian ini memberikan kontribusi dalam menghadirkan aplikasi yang memenuhi kebutuhan wisatawan modern untuk menjelajahi potensi pariwisata Kabupaten Semarang, dan mendukung pertumbuhan ekonomi lokal serta promosi pariwisata Kabupaten Semarang.

Penggunaan gas LPG sebagai sumber energi utama pada mesin setrika uap di Putra Laundry Ungaran menghadirkan risiko kebocoran gas yang dapatmenyebabkan kebakaran. Untuk mengatasi masalah ini, penelitian ini bertujuanmerancang dan mengimplementasikan sistem pendeteksi kebocoran gas LPG berbasis Internet of Things (IoT). Sistem ini menggunakan mikrokontroler NodeMCU ESP8266 sebagai pusat pengolahan data, sensor gas MQ-6 untuk mendeteksi kebocoran LPG, dan flame sensor untuk mendeteksi keberadaan api. Alarm buzzer dan notifikasi melalui Telegram Bot digunakan sebagai media peringatan dini.. Metode penelitian yang digunakan adalah Research and Development (R&D),  dengan sistem yang mencakup integrasi perangkat keras dan perangkat lunak untuk mendeteksi kebocoran secara real-time. sistem yang dirancang ini dapat mendeteksi kebocoran gas LPG dengan tingkat akurasi yang tinggi dan memberikan peringatan dini secara cepat. Sistem ini Dengan implementasi sistem ini, risiko kebakaran akibat kebocoran gas LPG dapat diminimalkan, sehingga memberikan perlindungan bagi karyawan dan aset bisnis di lingkungan kerja Putra Laundry.

As digital transformation accelerates across industries, cybersecurity faces escalating challenges due to increasingly sophisticated cyber threats. This study explores the integration of artificial intelligence (AI) algorithms and big data analytics to enhance cybersecurity systems, focusing on addressing data integration and interpretability issues. Employing a descriptive-qualitative methodology, the research analyzes literature, case studies, and secondary data to evaluate the effectiveness of AI and big data in detecting and mitigating cyber threats. Key findings reveal that deep learning algorithms, such as artificial neural networks, achieved an accuracy of 93% in anomaly detection, outperforming traditional rule-based approaches by 18%. Additionally, big data platforms like Spark demonstrated superior efficiency, processing 500 GB of data in 35 seconds compared to Hadoop’s 60 seconds. However, the study identifies challenges related to the interpretability of AI models and the complexity of integrating diverse datasets, which impede real-time threat detection. Periodic updates to AI training datasets were found to improve detection accuracy by up to 15%, emphasizing the importance of adaptive learning models. This research contributes to the field by proposing strategies to enhance system resilience, including adopting Explainable AI (XAI) for transparency and advanced data integration techniques. The findings underscore the potential of AI and big data to revolutionize cybersecurity, offering organizations a proactive approach to combating evolving cyber threats. Future studies should focus on sector-specific implementations and optimizing response mechanisms for comprehensive security frameworks.

In today's digital era, Learning Management Systems (LMS) play a crucial role in education. Despite the availability of numerous LMS platforms, challenges in designing effective and efficient systems persist, particularly in integrating comprehensive frameworks like the Zachman Framework. This study aims to explore the application of the Zachman Framework in LMS design to enhance system effectiveness and user satisfaction. The research employs a mixed-methods approach, combining qualitative and quantitative methods. Data is collected through a survey involving 100 respondents, including instructors, LMS developers, and students. The study analyzes qualitative data using thematic analysis and quantitative data through descriptive statistical techniques. The findings reveal that 85% of respondents believe that applying the Zachman Framework in LMS design significantly improves system effectiveness. Additionally, the average user satisfaction score for LMS designed using this framework is 4.2 on a 5-point scale, indicating a high level of satisfaction. This research concludes that implementing the Zachman Framework not only aids in identifying user needs and designing essential system functions but also ensures that all elements are well-integrated. These findings provide valuable insights for LMS developers and educational institutions in creating more effective and responsive systems that meet user needs..