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In today’s date Artificial intelligence (AI) has substantially transformed marketing strategies and specifically Viral Marketing by enhancing the content personalization, targeting the audience and real time campaign optimization. The study explored the Artificial Intelligence impact on Viral marketing with a comprehensive review of 20 literatures that highlights the diverse applications of AI such as predictive analytics, natural language processing (NLP) and AI-driven visual content creation. This study employed meta analysis approach to evaluate how effectively AI could boost marketing reach, engagement and return on investment (ROI). The finding of the study indicates a positive correlation between the efficiency of Viral Marketing campaigns and the integration of AI, despite the fact highlighting ethical and transparency. The study concludes with practical suggestions for using AI in Viral marketing in a responsible and efficient manner to enhance its potential while mitigating related dangers. This study also highlights AI’s revolutionary role in changing market dynamics.

The purpose of this study is to evaluate the deficiencies in the learning of accounting software at STIE Ganesha. This study will concentrate on factors that potentially hinder the integration of accounting software into the college curriculum. This research started in October 2024. Accounting students at STIE Ganesha are the research subjects. Qualitative research was conducted and data was collected through in-depth interviews. The results showed that learning accounting software has several problems. One of them is the lack of supporting resources and lack of technological infrastructure. In addition, students face difficulties in understanding and accessing accounting software required to meet the needs of the working world. To produce more efficient accounting software learning, this research emphasizes increasing resource capacity and improving supporting infrastructure. This research is expected to help STIE Ganesha develop methods to improve software-based accounting learning.

This study aims to analyze the role of crowdfunding, impact investing, zakat, and waqf as alternative financing in supporting sustainable development in Indonesia. The research method used is qualitative descriptive with a case study approach based on secondary data from literature and empirical reports. The results show that crowdfunding mobilizes community funds for environmental projects such as mangrove conservation in Kalimantan, significantly reducing carbon emissions. Impact investing supports strategic sectors like Islamic fintech and affordable housing, creating both social and financial impact. Zakat contributes to improved welfare through skills training and healthcare services, while waqf supports the development of sustainable social infrastructure. However, the management of zakat and waqf faces challenges in transparency and public participation. This study bridges the literature gap with empirical evidence highlighting the effectiveness of alternative financing in sustainable development. The conclusion emphasizes the need for a strategic integration of alternative financing to accelerate the achievement of sustainable development goals in an inclusive manner.

Mount Merapi, Indonesia's most active volcano, poses significant threats to the Stabelan Hamlet situated nearby. This study delves into the community's indigenous knowledge, residing about 3 km from Mount Merapi's summit, in confronting volcanic eruption disasters. Employing qualitative methods, the research elucidates local customs and ancestral beliefs crucial for disaster readiness. Interviews provide primary data, complemented by secondary sources like journals and news. Employing purposive sampling, data analysis follows the Miles and Huberman model. Findings reveal the Stabelan Hamlet's adeptness in employing local wisdom like creating bonfires, maintaining calm during eruptions, and interpreting dreams as disaster coping mechanisms. This indigenous wisdom not only shapes preparedness but also preserves cultural heritage local wisdom, The community's receptiveness ensures the integration of traditional practices alongside contemporary disaster management strategies mandated by the government.

The implementation of digital technology in the judiciary system has become a cornerstone of public service improvement. This study examines the effectiveness of the E-Court application in optimizing public service quality at the Class 1A District Court of Batam City. The research employs a qualitative approach, utilizing data gathered through interviews, observations, and document analysis. Findings indicate that the E-Court application significantly enhances the accessibility, efficiency, and transparency of court services by reducing processing times, minimizing manual paperwork, and fostering accountability. However, challenges such as technical limitations, digital literacy gaps, and resource constraints impede its full potential. Recommendations include infrastructure enhancement, comprehensive user training, and policy support to maximize the benefits of digital integration in public service delivery. This study contributes to understanding the transformative role of technology in judicial administration and its impact on public satisfaction.

This research examines the strategies implemented by the Batam City Government in improving illegal urban settlements, with a focus on informal housing areas. The rapid urbanization and migration to Batam have led to the development of informal settlements, which often lack proper infrastructure, housing quality, and access to basic services. This study aims to assess the effectiveness of government programs aimed at improving these areas, particularly through initiatives focused on housing quality enhancement and urban planning. Through a case study approach, the research explores policy frameworks, stakeholder involvement, and community participation in the improvement process. The findings highlight key challenges and opportunities in addressing informal settlements, providing recommendations for better integration of these areas into the formal urban fabric. Ultimately, the research seeks to contribute to the understanding of sustainable urban development strategies for cities facing similar issues of informal settlement growth.

Crimes of sexual intercourse committed by children are one type of crime that requires special attention, especially as the incidence of such crimes committed by children has been increasing year by year. The significant impact resulting from this crime should certainly be a matter of our collective concern. Therefore, this research aims to identify the factors underlying why children commit sexual offenses and the rehabilitation efforts undertaken by the Special Child Development Institution Class II Lombok Tengah for children who commit sexual offenses. This research is empirical in nature. Data in this research were obtained using observation methods, interviews, documentation, and literature study. The data were then analyzed using a sociological approach, a case study approach, and a legislative approach. The data was then presented using a descriptive qualitative method. The research results show that the factors causing children to commit sexual offenses are poor environmental factors, social media factors, and lack of parental supervision. Meanwhile, the efforts made by the Special Child Development Institution Class II Lombok Tengah for children who commit sexual offenses are personality development, including spiritual development, national and state awareness, reintegration, and intellectual development, and independence development, including horticulture, agriculture, basic welding techniques, and barbershop skills.

The use of Generative Artificial Intelligence (GenAI) in higher education in Indonesia offers great opportunities, but faces significant challenges related to copyright. The technology is capable of generating new content that supports more adaptive learning, but raises questions regarding the ownership of intellectual works, especially in the context of “fair use” and copyright protection. This research aims to examine the legal challenges in the integration of GenAI in Indonesian higher education learning as well as opportunities for its development. The method used is juridical-normative research, by analyzing secondary data from relevant regulations, books, and journals. The results show that the lack of clarity in copyright regulations in Indonesia can hinder the optimal utilization of GenAI. Nevertheless, this technology offers significant potential to improve the personalization of learning and the quality of higher education in Indonesia, provided that comprehensive and specific regulations are developed soon.

This study examines the impact of green talent management practices on HR performance quality in eco-friendly hotels in Central Java, Indonesia, using a phenomenological approach. Through in-depth interviews with 24 participants across six star-rated hotels, direct observation, document analysis, and focus group discussions, the research explores how green HRM practices influence employee performance and career development opportunities for young talent. The findings reveal that eco-friendly hotels have implemented various green talent management practices including environmentally-conscious recruitment, sustainability training, green performance management, and employee involvement in environmental initiatives. These practices positively impact multiple dimensions of employee performance: task performance through improved resource efficiency; contextual performance through enhanced teamwork; adaptive performance through increased innovation capability; and environmental performance through strengthened pro-environmental behaviors. The effectiveness of these practices is influenced by top management commitment, integration with business strategy, training quality, organizational culture, and resource availability. Young employees perceive involvement in green initiatives as valuable for developing leadership skills, expanding professional networks, and enhancing market competitiveness, although they identify the need for clearer sustainability-focused career paths. The study contributes to GHRM and talent management literature by explicating the mechanisms linking green talent management with performance outcomes in the hospitality industry context, while providing practical implications for hotel managers seeking to enhance both environmental sustainability and human resource performance. The research underscores the importance of a holistic approach to green talent management that aligns environmental priorities with employee development and organizational strategy.

This study evaluates the effectiveness of a hybrid citizen–AI legal monitoring system in enhancing urban environmental governance. The hybrid system integrates citizen-driven reporting platforms with AI-powered legal monitoring tools to address the challenges of weak public oversight in urban environmental management. By implementing the system in three metropolitan areas, the study explores how real-time data collection through citizen reports, combined with AI-driven analysis, can improve the accuracy, speed, and responsiveness of identifying environmental violations. The results showed a 45% improvement in oversight effectiveness, demonstrating the potential of hybrid systems to enhance monitoring capabilities beyond traditional methods. The AI system, capable of analyzing large datasets and providing timely insights, enabled quicker identification and categorization of violations such as pollution and waste management issues. The integration of citizen involvement through digital platforms allowed for more inclusive data collection, enhancing the quality and volume of information available for decision-making. This synergy between human participation and AI-driven analysis improved the speed of response to urban environmental challenges, making the system more adaptive and efficient. However, challenges such as data reliability and variable citizen participation rates were identified, suggesting the need for strategies to encourage consistent engagement and ensure the accuracy of reported data. The study concludes that hybrid citizen–AI systems can significantly improve urban governance by enhancing transparency, accountability, and responsiveness, offering a promising solution for cities seeking to address environmental issues more effectively.

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

The fusion of cultural heritage and digital technology has opened up new opportunities in the art of motifs and pottery making. This article explores design innovations that utilize digital technology to recreate traditional motifs in ceramic crafts. The research examines how techniques such as parametric design, 3D printing, and virtual reality can be used to preserve, adapt, and introduce cultural motifs to a wider audience. Case studies from several traditional artisan communities are analyzed to understand the impact of technology on the creative process, production efficiency, and preservation of cultural values. The results show that the integration of digital technology not only increases design flexibility but also strengthens the connection between tradition and modern innovation. This article provides important insights into the role of digital technology in fostering the sustainability of traditional crafts, while motivating future cross-disciplinary collaborations.

Bullying among students is a serious issue that impacts their mental, physical, and social well-being and disrupts learning activities at school. This study aims to explore the role of teachers in preventing bullying in schools through collaborative art education, utilizing a case study approach at an elementary school. Collaborative art was chosen as a method due to its potential to encourage positive interactions and empathy development among students. Data were collected through classroom observations, in-depth interviews with teachers, and focus group discussions with participating students. The results indicate that teacher-facilitated collaborative art effectively reduces bullying behaviors, fosters harmonious relationships among students, and enhances social skills and empathy. In conclusion, collaborative art education shows promise as a preventive method against bullying, and it is recommended for broader integration as part of character education strategies in schools.

Higher education institutions play a critical role in advancing the Sustainable Development Goals (SDGs) by integrating global citizenship into the curriculum. This study examines the implementation of SDG-focused education, highlighting strategies for embedding global citizenship principles in higher education programs. Using a qualitative approach, data were collected through literature analysis and case studies from various universities. The findings indicate that interdisciplinary collaboration, experiential learning, and digital technology integration enhance students' awareness and engagement with global challenges. The study underscores the importance of institutional policies and educator training in fostering SDG-oriented education. These insights contribute to the development of comprehensive frameworks for embedding global citizenship in higher education curricula, promoting responsible and ethical leadership for sustainable development.

In the era of digital transformation, online learning has become a dominant mode of education, emphasizing the need for intercultural competence to ensure inclusivity and equity. This study explores strategies for fostering intercultural competence in online learning environments by examining best practices in curriculum design, communication, and technological integration. Utilizing a qualitative research approach, data were collected through interviews with educators and students from diverse cultural backgrounds. The findings reveal that interactive learning activities, culturally responsive pedagogy, and adaptive learning technologies significantly enhance students’ intercultural competence. The study highlights the importance of fostering a supportive online community, encouraging cross-cultural collaboration, and implementing inclusive instructional strategies. These insights contribute to the development of equitable education policies that address cultural diversity in virtual classrooms.

The integration of Artificial Intelligence (AI) in personalized and adaptive learning environments has revolutionized the education sector by offering customized learning experiences tailored to individual student needs. This study explores the role of AI in enhancing adaptive learning through data-driven insights, intelligent tutoring systems, and real-time feedback mechanisms. By employing machine learning algorithms and natural language processing, AI-driven platforms can analyze student performance, predict learning patterns, and deliver personalized content. The study highlights the effectiveness of AI in addressing diverse learning styles, improving engagement, and optimizing educational outcomes. Furthermore, it discusses the implications of AI in fostering inclusive education and lifelong learning. The findings suggest that AI-powered learning environments significantly enhance student-centered education, promoting efficiency and accessibility.

The 21st century has witnessed a rapid digital transformation in global education, reshaping traditional learning paradigms and creating new opportunities and challenges. This study explores the impact of digitalization on educational accessibility, teaching methodologies, and student engagement. The research employs a qualitative approach, analyzing current trends, technological advancements, and policy implementations in various educational systems. The findings highlight the benefits of digital transformation, such as increased accessibility, personalized learning experiences, and the integration of artificial intelligence in education. However, challenges such as the digital divide, cybersecurity concerns, and the need for teacher training persist. The study underscores the importance of strategic policies and investment in digital infrastructure to ensure equitable and effective educational transformation worldwide.

This research aims to optimize the use of interactive flipbooks as a literacy learning media in elementary schools. Interactive flipbook media offers an innovative approach in the learning process, combining engaging visualization, interactivity, and digital accessibility that meets the needs of 21st-century students. The method used in this research is a literature review involving the collection, analysis, and synthesis of various literature related to the use of interactive flipbooks in the context of primary education. The results indicate that interactive flipbooks can enhance reading interest, literacy skills, and student comprehension through a combination of text, images, audio, and animation. This media also allows students to learn independently and collaboratively by utilizing interactive features. In addition, interactive flipbooks have proven effective in supporting thematic and integrative learning, which is often implemented in elementary schools. This study recommends the development of curriculum-based interactive flipbooks, teacher training in their use, and the integration of this media into teaching strategies. With proper optimization, interactive flipbooks can become an innovative solution to improve the literacy quality of elementary school students.

The integration of video games into education has garnered attention for its potential to enhance learning experiences, particularly in fostering engagement and autonomous skill development. This qualitative study investigates EFL (English as a Foreign Language) learners' perceptions of using Disco Elysium, a narrative-driven role-playing game, as a supplementary tool for language learning. Data were collected through semi-structured interviews and thematic analysis, focusing on the experiences of EFL learners who engaged with the game's complex linguistic and narrative content. The findings reveal that participants perceive Disco Elysium as a unique and immersive learning medium, aiding in vocabulary acquisition, reading comprehension, and critical thinking. However, challenges such as the game's advanced vocabulary, cultural references, and morally complex themes were also identified. By centering on learner perspectives, this study contributes to the limited research on the role of narrative-driven games in language learning. The results provide insights into how such games can be integrated into educational contexts to complement traditional EFL learning methods.

This study evaluates the effectiveness of AI-powered tutoring systems in enhancing personalized English language learning among students in Colleges of Education in Lagos State, Nigeria. The primary objectives include assessing the impact of these systems on students' English proficiency and evaluating their perceptions of usability and effectiveness. Guided by four research questions, the study aims to provide insights into the integration of AI in educational contexts. Employing a survey research design, the study targeted a population of approximately 50,000 final-year students across several Colleges of Education. A sample of 400 students was selected using a combination of convenience and stratified random sampling techniques, ensuring representation from two institutions: the Federal College of Education (Technical) Akoka (FCET) and the Adeniran Ogunsanya College of Education (AOCOED). A structured questionnaire with 30 items was developed and validated, achieving a reliability coefficient of 0.81. Data collection methods included both in-person and online approaches, yielding a response rate of 74.5% (298 completed questionnaires). Data were analyzed using descriptive statistics and t-test for hypothesis testing. The findings revealed a significant difference in English language proficiency between students using AI tutoring systems and those using traditional methods, with the AI group reporting better outcomes. Additionally, students expressed mixed perceptions regarding the usability of AI systems. Major recommendations include enhancing AI system functionalities, providing comprehensive training for users, and addressing technological barriers to ensure effective implementation. This study underscores the potential of AI in education while highlighting the need for ongoing improvements and support mechanisms.