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The development of digital technology and artificial intelligence (AI) has increased youth interaction in cyberspace, while also elevating the risk of digital crimes, both as perpetrators and victims. This community service program AIms to strengthen legal awareness and AI-based self-protection skills among students of SMKN 1 Kaligondang, \Purbalingga Regency. The implementation methods include interactive workshops, digital security trAIning, case simulations, and the use of a mini AI assistant as a preventive educational tool. Evaluation was conducted through pre-test and post-test assessments, participatory observation, and participant reflection. The results indicate an improvement in participants’ understanding of digital law, particularly regarding the provisions of the Law on Electronic Information and Transactions and its relevance to the Indonesian Criminal Code. In addition, participants’ technical skills in securing digital accounts, identifying phishing attempts, and responding to cyber risks have also improved. The use of AI has proven to enhance participation and contextual understanding. Overall, the program is effective in fostering legal awareness, improving digital protection capabilities, and shaping responsible behavior in cyberspace.

This study aims to examine the implementation of the Village Financial System (SISKEUDES) information technology by applying the Committee of Sponsoring Organizations of the Treadway Commission (COSO) framework and the Technology Acceptance Model (TAM) in Daleman Village, Lawu Village, and Baran Village, Sukoharjo Regency. By adopting a qualitative descriptive approach and triangulation methods, the research establishes that internal control mechanisms under the COSO guidelines are being applied productively. Such compliance is demonstrated through the mandatory cross-verification process conducted by the Financial Officer and Village Secretary, supported by the analytical capabilities of the system’s built-in audit trail. From the TAM perspective, village officials show a high level of technology acceptance, since the system is perceived to provide considerable ease of use and significant benefits in improving the efficiency of financial reporting. Nevertheless, several technical challenges remain, particularly server congestion during peak reporting periods. In addition, there is still a limitation in external transparency, as the dissemination of financial information through digital platforms such as village websites has not been optimally socialized to the community. As a result, many residents continue to rely on conventional information channels such as information boards and village meetings. Therefore, although internal accountability has been well established, improvements in digital infrastructure and communication strategies are necessary to strengthen transparency in village financial management

The development of Artificial Intelligence (AI) has transformed how business organizations manage operations, process information, and make strategic decisions, thereby creating a need for leadership patterns that are more adaptive, visionary, and responsive to digital transformation. This study aims to explain the concept of AI Leadership in the business context, identify why modern leadership must adapt to the advancement of AI, and analyze the leadership strategies that are relevant for navigating the era of AI-driven business. The study employs a Systematic Literature Review (SLR) approach with a narrative-thematic synthesis of relevant open-access scholarly literature on AI Leadership, digital leadership, human–AI collaboration, business transformation, and AI ethics. The findings show that AI Leadership represents a modern form of leadership that emphasizes not only technological understanding but also the ability of leaders to direct organizational change, foster data-driven decision making, manage collaboration between humans and technology, and implement responsible AI governance. The study also finds that the main strategies required by leaders in the AI era include strengthening digital literacy, developing adaptive managerial capabilities, enhancing human–AI collaboration, and integrating ethical principles into technology implementation. This article contributes conceptually by reinforcing AI Leadership as a leadership framework that is highly relevant to modern organizations and offers practical implications for the development of business leadership in the era of digital transformation.

This research investigates the effectiveness of container cargo information management systems at Indonesian ports, examining the critical roles of competency training, shore-based personnel capabilities, and technology adoption in determining system performance and operational outcomes. Container terminals increasingly rely on sophisticated information systems including Terminal Operating Systems (TOS), Port Community Systems (PCS), and Electronic Data Interchange (EDI) for coordinating complex cargo operations, yet system effectiveness depends not solely on technology sophistication but critically on personnel competency, training adequacy, and human-technology integration. Through qualitative analysis involving terminal operators, port information system managers, shore-based operational personnel, training coordinators, and technology providers, this study examines how the interplay between human capabilities and technological capabilities determines information system effectiveness. Results demonstrate that comprehensive competency training programs can improve system utilization effectiveness by 45-65%, reduce operational errors by 50-70%, and enhance productivity by 25-40% through better human-technology integration. Key challenges include inadequate training investment, high personnel turnover, technology complexity exceeding user capabilities, and organizational resistance to systematic training programs. Findings reveal that container terminal information system effectiveness depends fundamentally on sociotechnical system optimization addressing both technological infrastructure and human capability development through sustained competency building programs. This research contributes to port operations literature by providing evidence-based frameworks for human factors integration in port technology implementation.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

Durian Bhineka Bawor is one of the leading local commodities of Alasmalang Village with high economic potential. However, product promotion and marketing activities are still dominated by conventional methods and limited local networks, resulting in restricted market access, low competitiveness, and the absence of structured product information documentation. This community service program aims to address these challenges through the implementation of an interactive website integrated with an AI Agent, serving as a centralized information platform as well as a digital product ordering service. The main objectives of this program are to strengthen local durian branding through the utilization of modern digital technology, expand market reach, and enhance community digital literacy. The implementation method was carried out in several stages, including program coordination and socialization, content needs assessment, website design and development, AI Agent and WhatsApp server integration, system testing, manager training, official deployment, and continuous assistance. The AI Agent provides interactive services in the form of product information delivery, personalized recommendations, and order facilitation directly connected to the admin dashboard and social media platforms, thereby accelerating transaction processes and improving consumer experience. The expected outcomes of this program include the establishment of a more professional, transparent, and efficient promotion and ordering system for Durian Bhineka Bawor products. The developed platform is expected to expand market access, increase product sales, and create new digital-based business opportunities. Furthermore, this program contributes to community empowerment by improving digital skills and technology management capabilities to support local economic independence and competitiveness.

The utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.

This study investigates the role of Enterprise Information Systems (EIS) in driving innovation within organizations. The research employs a mixed-method approach, combining survey-based structural analysis and in-depth organizational case studies to explore how different EIS capabilities influence organizational innovation. The study focuses on four key EIS capabilities: functional capabilities such as workforce management and customer value creation; technological capabilities including ERP systems and real-time analytics; dynamic capabilities, especially organizational learning; and collaborative innovation through external partnerships. The survey results reveal that EIS capabilities, particularly data analytics and integration, significantly enhance organizational agility, decision-making, and innovation outcomes. In-depth case studies provide detailed insights into how these capabilities are applied in real-world organizational settings, illustrating their impact on process and service innovation. The findings indicate that the effective integration of EIS across organizational functions, along with improved access to data, contributes to operational efficiency and innovation success. However, challenges such as integration issues, resistance to change, and lack of skilled personnel were also identified as barriers to successful EIS adoption. The study contributes to the literature by offering a comprehensive understanding of how EIS capabilities drive innovation and highlighting the importance of organizational culture and leadership in the adoption process. The research provides practical recommendations for organizations to leverage EIS for fostering innovation, such as focusing on EIS integration, overcoming organizational barriers, and ensuring leadership engagement. Finally, the study suggests future research directions, including the refinement of multi-method approaches and the need for longitudinal studies to better understand the long-term impact of EIS on innovation outcomes.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.