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The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

The rapid advancement of digital financial technology has increased the adoption of e-wallets among university students and may influence tax awareness through greater transparency in digital transactions. This study examines the effects of financial literacy and risk perception on tax awareness through e-wallet usage among higher education students in Batam City, with culture included as a control variable. A quantitative survey was conducted involving 247 students who regularly use e-wallet services. Data were analyzed using multiple linear regression with robust standard error estimation in Google Colaboratory. The results indicate that financial literacy has a positive but insignificant effect on e-wallet usage (β = 0.0411, p > 0.05), whereas risk perception has a positive and significant effect (β = 0.5572, p < 0.01). E-wallet usage also positively and significantly affects tax awareness (β = 0.4613, p < 0.01). Furthermore, e-wallet usage significantly mediates the relationship between risk perception and tax awareness but does not mediate the relationship between financial literacy and tax awareness. These findings suggest that e-wallet adoption is driven more by digital lifestyle demands than financial literacy and that improving digital risk literacy may help strengthen students’ tax awareness and responsible use of financial technology.

Entrepreneurship Study Programme students at Universitas Negeri Makassar's Faculty of Economics and Business had their digital literacy and relationship-building skills examined to see how they affected their entrepreneurial decision-making. Additionally, it determines if entrepreneurial drive is a factor in the relationship between these variables. Data for the study is collected quantitatively via questionnaires. The 427 students who completed the programme between 2019 and 2024 are the ones included in the study. With a 5% margin of error, 207 students were selected by proportional random sampling using the Slovin algorithm. A Google Form questionnaire was used to gather the data. After that, SmartPLS version 4 was used to analyse the data using the PLS-SEM approach. According to the findings, digital literacy significantly impacts entrepreneurial decision-making for the better. Entrepreneurial decision-making is positively and significantly impacted by the capacity to develop connections. There was a positive and statistically significant association between digital literacy and the capacity to form relationships, which in turn influenced entrepreneurial drive. There was a positive and statistically significant relationship between entrepreneurial motivation and entrepreneurial decision-making. Students' entrepreneurial decision-making is influenced by their entrepreneurial drive, which in turn is influenced by their digital literacy and relationship-building abilities.

Indonesia’s multicultural diversity poses serious challenges in maintaining social harmony, marked by increasing cases of intolerance driven by differences in ethnicity, religion, and culture. Education, particularly civics (PPKn), plays a strategic role in instilling tolerance values from an early age. This study aims to analyze the strategies used by elementary school teachers in cultivating tolerance attitudes through PPKn  learning, identify the implementation of tolerance values in classroom activities and student social interactions, and reveal the challenges faced by teachers along with effective and contextual learning strategies. This study employed a qualitative descriptive approach based on library research, collecting data from accredited scientific journals published between 2021 and 2025, sourced from databases including google scholar, DOAJ, and sinta- indexed journals. Data were analyzed using descriptive qualitative analysis through stages of data reduction, data presentation, and conclusion drawing, with source triangulation appliet to ensure validity. The findings reveal that affective teachers employ a holistic approach encompassing cognitive, affective, and psychomotor domains, consistent with Bloom’s revised taxonomy. Teachers serve not only as knowledge transmitters but also as moral role models, as supported by Bandura’s Social Learning Theory. Implementation is carried out through three channels: intracurricular, co-curricular, and extracurricular activities. Key challenges include dominance of cognitive approaches, limited understanding of multicultural education, and negative influencesof social media. This study implies the urgent need for continuous professional training for PPKn teachers, differentiated and inclusive learning design, and active collaboration between schools and families to strengthen the internalization of tolerance values in elementary school students.

This study examines land-use transformation in Hamadi Rawa I, Jayapura City, focusing on the shift from water catchment to built-up land during 2015–2025. The research employs a mixed-methods approach, combining analysis of Google Earth imagery with interviews with community, government, and academic stakeholders. Findings show the catchment area shrank by 48% (from 17% to 8% of the total area), decreasing from 21.36 ha to 11.20 ha. The built-up area increased by 28.1%, from 70.78 ha to 90.67 ha, with residential development driving most of this growth (51.1%). Three spatial transformation patterns emerged: ecological fragmentation, linear service sector development, and concentric settlement patterns. Idle land was also identified as a phenomenon that damages ecological functions without providing a productive benefit. The conversion was driven by physical-natural factors (basin topography), economic factors (market proximity), socio-demographic factors (urbanization), and especially institutional factors. Customary land transactions outside state control created a governance dilemma between humanity and public order. The study recommends a proactive-collaborative approach with three key instruments: (1) Zero-Reclamation with Adaptive Permitting for stilt structures; (2) fiscal intervention using Idle Land Tax and Payment for Ecosystem Services; and (3) a Participatory Spatial Control Task Force integrating government and customary authorities (Ondoafi).

The integration of educational technology has become increasingly important in supporting effective learning processes. Google Drive is one of the widely used cloud platforms for online storage, access, and collaboration in educational activities. This study aims to examine the factors influencing vocational school students’ perceived ease of use (PEoU) of Google Drive as a learning support tool. The research model was adapted from the Technology Acceptance Model (TAM) by incorporating external variables, including Computer Self-Efficacy (CSE), Perceived Enjoyment (PE), Perceptions of External Control (PEC), Technological Complexity (TC), and Facilitating Conditions (FC). Data were collected from 274 students at a public vocational school in Central Java using an online questionnaire. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS. The findings reveal that Computer Self-Efficacy, Perceived Enjoyment, and Perceptions of External Control significantly influence students’ perceived ease of use of Google Drive. In contrast, Technological Complexity and Facilitating Conditions do not significantly affect perceived ease of use. These findings highlight the importance of internal user perceptions in supporting educational technology adoption among vocational school students.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This research critically investigates the circulation of disinformation concerning the instability of fuel prices on the digital platform X and its subsequent implications for the polarization of modern society. In an era where unverified economic news frequently dictates public reaction, fake news often acts as a potent catalyst for mass anxiety. By implementing a quantitative framework driven by lexicon-based computational sentiment analysis, this study effectively processed a dataset of 500 public opinion samples extracted via Google Colab spanning from April 2024 to April 2026. To ensure computational accuracy and eliminate textual noise, the data underwent a rigorous preprocessing phase encompassing case folding, alongside the systematic removal of URLs, account mentions, numbers, hashtags, and punctuation marks. The statistical outcomes revealed a highly disproportionate emotional landscape, overwhelmingly dominated by 451 negative reviews. In stark contrast, neutral observations and positive affirmations were nearly absent, recording only 40 and 9 instances, respectively. The data compellingly illustrates that the relentless influx of pessimistic narratives regarding economic instability directly induces financial panic, undermines rational discourse, and severely fragments cyberspace into deeply polarized factions.

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

This community service program aimed to improve students digital marketing competencies through training on the use of Google Trends at SMKN 1 Bawen. This program aims to address the limited ability of students to utilize data-based tools for market analysis, and was attended by 90 students. A participatory training approach was implemented, consisting of interactive lectures, demonstrations, hands-on practice, and evaluation activities. The results, based on observational assessments and participant feedback, indicate improvements in students’ digital skills, particularly in trend analysis, data interpretation, and the application of insights to academic projects. Most participants demonstrated increased engagement during training sessions and reported higher confidence in using data analysis tools. In addition, students showed emerging abilities to connect trend data with market opportunities and develop project ideas accordingly. Overall, the program contributed to enhancing students’ data literacy and promoting more effective use of digital tools in learning. These findings suggest that practice-based training can support the development of data-driven competencies in vocational education.

Along with the rapid growth of digital media, various forms of digital transactions have also developed.1 This development has driven changes in the payment system in Indonesia, one of which is through the implementation of QRIS (Quick Response Code Indonesian Standard). Despite its increasingly widespread use, there are still few studies that systematically examine user perceptions and the effectiveness of QRIS in improving transaction efficiency and strengthening the digital financial system. The purpose of this study is to identify and comprehensively analyze the results of previous studies related to QRIS use through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar and Garuda using the keywords "QRIS use", "QRIS payment system", and "QRIS transaction tool". The results show that QRIS can improve the efficiency and convenience of digital transactions, both for consumers and businesses, and facilitate the integration of financial services in a single platform. This study also aims to analyze the use of QRIS in public services. Using a descriptive qualitative research method, research data was taken from the results of searches of reliable sources including official websites, academic literature, theses, and national scientific journals relevant to the research topic. Thus, this may indicate that the success of QRIS is influenced by effective socialization, public awareness of transaction security, and equitable access to technology. The implications of this research provide a useful literature map for policy development and further studies in the field of digital finance.

The development of digital technology has driven significant changes in modern learning methods by integrating various multimedia media. However, multimedia's ability to facilitate learning depends largely on the extent to which its presentation aligns with the principles of learning psychology, particularly those outlined in the Cognitive Theory of Multimedia Learning (CTML). This study aims to examine the role and effectiveness of multimedia in transforming modern learning methods by combining the results of recent empirical research from 2020 to 2024. This study used the Systematic Literature Review (SLR) method by analyzing 22 journal articles obtained from several databases such as Scopus, Web of Science, ScienceDirect, Google Scholar, and Sinta. Research shows that the use of interactive multimedia helps increase student enthusiasm for learning, participation, understanding of concepts, and the ability to remember course material. However, disorganized multimedia design can add unnecessary mental burden, thereby reducing learning effectiveness. These findings suggest that the successful use of multimedia depends not only on the level of technological advancement but also on the quality of learning design that applies cognitive theory. This study provides a comprehensive summary of the latest research and provides tangible benefits for educators in creating effective digital learning content.

The healthcare sector is increasingly confronted with a VUCA environment (Volatility, Uncertainty, Complexity, and Ambiguity), requiring hospitals to adopt adaptive, resilient, and innovative strategies. This study aims to systematically review the evidence on smart hospital strategies in responding to uncertainty, particularly in improving service quality, operational efficiency, and patient satisfaction. A systematic literature review was conducted using major academic databases, including Scopus-indexed sources, Google Scholar, and Semantic Scholar, covering publications from 2020 to 2026. Articles were selected based on predefined inclusion criteria focusing on hospital management strategies in dynamic and uncertain environments. A total of 10–15 relevant studies were included and analyzed using thematic synthesis. The findings indicate that key strategies in addressing VUCA challenges include digital transformation (e.g., electronic medical records and telemedicine), adaptive and transformational leadership, agile management approaches, and patient-centered care. Digital technologies significantly improve efficiency and decision-making processes, while agile and adaptive leadership enhances organizational responsiveness and resilience. However, several studies highlight that technological advancement alone is insufficient without integrating humanistic values such as empathy, communication, and trust. In conclusion, the most effective hospital strategies in a VUCA world are those that integrate technological innovation with human-centered care. Hospitals must develop flexible, data-driven, and patient-oriented systems to ensure sustainability and competitiveness in uncertain environments. Future research should focus on longitudinal and experimental designs to strengthen causal evidence and explore the integration of digital systems with humanistic healthcare values.

The development of technology in the era of globalization has brought significant changes in society, particularly through the emergence of the internet and social media such as WhatsApp, X (Twitter), Facebook, Instagram, Telegram, and TikTok, which facilitate rapid information dissemination. This development has also given rise to a new profession, namely content creators, who produce and share content in the form of images, videos, or text for branding, professional purposes, or self-expression, often resorting to sensationalism to attract audience attention. On the other hand, the ease of access to social media has also triggered the spread of negative content, including pornography, as evidenced by Komdigi/Kominfo data showing millions of blocked negative content, with X being one of the dominant platforms. In Islamic perspective, anything that leads to adultery is prohibited as stated in QS. Al-Isra verse 32. A prominent case is Dea OnlyFans (Gusti Ayu Dewanti) who was arrested for distributing pornographic content through OnlyFans and Google Drive, charged under the Pornography Law and ITE Law, and found guilty in the Supreme Court Decision Number 2086 K/Pid.Sus/2023. This study discusses 1) How are the differences in judges' considerations at the District Court, High Court, and Cassation? 2) Can the Supreme Court judges' considerations provide a deterrent effect? This research uses a descriptive method with normative legal research based on literature study, using primary, secondary, and tertiary legal materials.

Leadership training has become a key instrument in public sector reform, driven by expectations that public managers act as strategic leaders to improve organizational performance and public service delivery. However, despite substantial investments, public administration research consistently highlights a gap between leadership training participation and tangible service improvements, particularly in resource-constrained local governments. Existing studies often examine leadership training effectiveness, training transfer, organizational change, and administrative capacity separately, resulting in limited integration across these interconnected processes. This fragmentation restricts understanding of how leadership competencies gained through training are transferred into practice, institutionalized through post-training change initiatives (Aksi Perubahan), and translated into sustainable administrative capacity and service outcomes. To address this gap, this integrative literature review synthesizes and critically analyzes peer-reviewed research on public sector leadership training, focusing on training transfer mechanisms, action-based change initiatives, and administrative capacity development in local governments, using the Tambrauw Regency Government as an illustrative context. The review draws on articles indexed in Scopus, Web of Science, and Google Scholar published between 2016 and 2025, selected based on public sector relevance and theoretical rigor. Using thematic synthesis and conceptual mapping, the findings show that leadership training contributes to service improvement only when supported by a conducive transfer climate, strong organizational commitment, and structured change projects. These change initiatives mediate the transformation of individual competencies into organizational routines, while administrative capacity determines the sustainability of outcomes. The study contributes to administrative capacity theory and provides practical insights for designing effective leadership training policies in peripheral local government contexts.

Low back pain (LBP) is one of the most common musculoskeletal complaints globally and is the main cause of decreased work productivity. One of the risk factors that has been widely studied in the literature is prolonged sitting duration. Prolonged sitting activities cause increased static pressure on the lumbar spine, fatigue of the supporting muscles, as well as a decrease in local blood flow that can trigger chronic pain. This study is a literature review with a meta-analytical approach that aims to analyze the relationship between long-term sitting and the incidence of LBP. The review process was carried out following PRISMA guidelines through searches on PubMed, Scopus, ScienceDirect, and Google Scholar databases for publication in 2020–2025. Of the 20 previous studies analyzed, most showed a positive association between sitting time and an increased risk of LBP, both in adults, adolescents, and children. Sitting for more than 6 hours per day increases the risk of LBP by 33%, especially in individuals with low physical activity. In addition, longer sitting durations with poor posture and minimal active rest were found in the group of office workers and professional drivers who had a high prevalence of LBP. Physical activity has been shown to play a protective role against the risk of LBP, while ergonomic interventions such as lumbar support can reduce pain complaints. Although most studies were observational, the consistency of results supports the importance of prevention through reduced sitting time, increased physical activity, and ergonomic work environment settings. These findings provide a scientific basis for multidimensional interventions to effectively reduce the incidence of LBP.  

This study aims to describe users' experiences and perceptions regarding the presence of malicious comments on social media, particularly on TikTok and Instagram. Data were collected through an online questionnaire using Google Forms containing eight open-ended questions, then analyzed using a descriptive qualitative approach through thematic analysis. The results showed that all respondents had and frequently encountered malicious comments, especially on viral content or creator accounts with large followings. The most common forms of malicious comments included body shaming, insults, defamation, and belittling and demeaning comments. Respondents expressed various emotional reactions such as discomfort, sadness, anger, and pity, although a small number felt normal due to their familiarity with the phenomenon. Factors that drive someone to make malicious comments include following the crowd (FOMO), envy, personal dislike, and the ease of expressing negative opinions on social media. Malicious comments also impact user comfort, with most feeling disturbed and uncomfortable. Respondents' responses to malicious comments included ignoring, responding positively to reprimands, blocking accounts, or reporting the comments. Respondents also proposed several efforts to reduce malicious comments, such as limiting or closing the comment section and increasing education regarding social media ethics. Overall, this study confirms that malicious comments are a common phenomenon on social media and need to be addressed through better personal awareness and digital literacy.

This paper reviews the role of Artificial Intelligence (AI) in Islamic education within secondary schools, emphasizing both its practical uses and the ethical challenges it presents. The review looks into the current trends, tools, and the impact of AI on the learning experience, as well as its ethical implications from an Islamic perspective. The study follows a systematic literature review (SLR) approach based on the PRISMA guidelines and includes research from 2022 to 2025, sourced from platforms like Google Scholar. After a thorough selection process, 15 articles were included in the review, offering valuable insights into the technological and ethical aspects of AI in Islamic secondary education. The use of AI has notably enhanced learning outcomes in Islamic education by allowing personalized learning, boosting student engagement, and streamlining feedback mechanisms. Tools like intelligent tutoring systems and educational chatbots have been widely adopted. However, challenges around data privacy, algorithmic bias, and technology access persist. Additionally, incorporating Islamic ethical values into AI-driven educational platforms presents both opportunities and challenges. Addressing these ethical implications is vital, requiring frameworks that align with Islamic principles such as maṣlaḥa (public welfare), justice, and human dignity. Education policies and teacher training programs should concentrate on promoting the responsible use of AI, ensuring it improves educational experiences while preserving ethical and cultural integrity.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

The rapid development of information technology has encouraged organizations to implement computerized systems to improve document management efficiency and security. At PT Petrokimia Gresik, import document archiving was previously conducted using Google Drive and physical storage, which caused issues such as limited access control, risk of data loss, and slow document retrieval during audits. This study aims to design and develop a web-based Import Document Archiving Information System using the waterfall development method. The system was built using HTML, CSS, JavaScript, PHP, and MySQL. The results indicate that the system improves archiving efficiency, enhances data security, accelerates document search, and supports structured monitoring and validation processes.