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This study aims to analyze the comprehensive relationship between selection, placement, career development, and employee well-being within the perspective of organizational psychology. Human resources (HR) are the central driver of organizational success, yet many institutions, including Islamic educational institutions, still face challenges in professional HR management. This research employs a library research method with a descriptive-comparative analysis approach, reviewing relevant scientific literature and empirical reports. The findings indicate that these four aspects form an integrated unit; effective selection based on person-organization fit provides quality candidates, appropriate placement optimizes potential, structured career development maintains motivation, and holistic well-being ensures loyalty and productivity. The study concludes that organizational success is heavily dependent on the synergy of these four components managed through an organizational psychology approach, rather than being treated as separate administrative functions.

Marriage is a basic human need that involves an official agreement between husband and wife, regulating rights and obligations, including the ownership and management of joint property. Under Indonesian law, property acquired during marriage is considered joint property, which often becomes a source of conflict during divorce. To prevent this, Indonesian law recognizes the existence of a marital separation of property agreement, which regulates the separation of assets between spouses from the beginning, whether before or during marriage. A separation of property agreement provides legal protection for personal assets, protects one party from being liable for the partner’s debts, and reduces the potential for disputes during divorce. Therefore, it is important for the public to receive socialization and legal education about the separation of property agreement in marriage to increase understanding of its benefits and protect the rights of married couples in both marriage and divorce. Legal education on this matter can help reduce disputes over joint property and offer better protection for couples who wish to clearly and legally manage their assets.

This article investigates how Islamic Education teachers implement their professional competence in managing learning at a public Islamic senior secondary school in North Maluku, Indonesia. Teacher competence is understood as a multidimensional construct that includes pedagogical, professional, personal, social, and spiritual dimensions and is expressed through lesson planning, classroom instruction, and learning assessment. Using a qualitative naturalistic design, data were collected through participant observation, in depth interviews with teachers, school leaders, and students, and documentation of lesson plans and institutional records. The findings show that lesson planning is carried out consistently and aligned with the curriculum, but the depth and creativity of plans vary between teachers, with some documents remaining largely administrative. In classroom instruction, teachers demonstrate sincere efforts to create a conducive learning climate, connect Islamic teachings with students daily lives, and encourage participation, although limited use of educational technology, differences in student engagement, and classroom management challenges constrain the consistency of instructional quality. Assessment practices employ diverse techniques to evaluate cognitive, affective, and psychomotor domains, yet the systematic use of formative and authentic assessment is still uneven due to workload and time pressures. Supporting factors include institutional backing through workshops and subject teacher forums, supportive leadership, adequate facilities, and teacher experience, while inhibiting factors comprise internal limitations in instructional design, external constraints related to technology and student diversity, and structural administrative demands. Overall, the study offers an integrated and context specific picture of how competence in learning management contributes to students understanding, motivation, and religious character.

Ibnu Sina Yarsi Islamic Hospital Padang Panjang plays a crucial role in providing medical services to the community. However, challenges such as inadequate facilities, limited service space, and insufficient healthcare personnel have led to long queue times and schedule mismatches, adversely affecting patient satisfaction. This study analyzes strategies to improve service quality at the hospital using a qualitative descriptive approach with data collected through observation, interviews, and documentation involving management, medical staff, and patients. Data validity was ensured by triangulation, and analysis followed the Miles and Huberman interactive model. The findings reveal that strategies focusing on human resource development programs, performance-based budget management, and consistent application of standard operating procedures (SOP) have been implemented effectively. Despite this, limitations in human resources, budget, and physical infrastructure hinder optimal results. Strengthening internal capacity and resource optimization are necessary to achieve sustainable improvements in service quality.

The development of information and communication technology in the digital era has increased access to and productivity of scholarly publications, while also creating challenges in managing academic literature and references. Final-year students, particularly those from non–Information Technology programs, often experience difficulties in organizing references systematically, maintaining citation consistency, and avoiding unintentional plagiarism. This article aims to describe the implementation and outcomes of a community service program that provided training on the use of Mendeley as a personal digital library for managing scholarly literature. The program was conducted over two days using a participatory and hands-on approach involving students from Universitas Tamansiswa in Padang. The training methods included conceptual lectures, live demonstrations, and practical sessions covering Mendeley installation, reference management, automatic citation, and bibliography generation. The results indicate improvements in participants’ understanding and skills in reference management, as well as increased awareness of academic integrity. Overall, the training proved effective in enhancing efficiency and writing quality in the preparation of theses or final projects.

Learning and teaching from the perspective of the Qur'an are not only understood as intellectual activities, but also as spiritual, emotional, and moral processes that shape the whole human personality. Learning is an obligation for every individual to develop their human potential and get closer to Allah SWT, while teaching is seen as worship and a social responsibility in spreading knowledge and good values. This study aims to examine the interpretation of the verses of the Qur'an related to the obligation of learning and teaching, namely QS. At-Taubah: 122, QS. Al-Ghasiyah: 17–20, QS. Al-'Ankabut: 19–20, QS. Al-Qalam: 1–4, and QS. Al-'Alaq: 1–5. The method used is a literature study with a thematic interpretation approach (maudhu'i). The results of the study indicate that the obligation of learning and teaching is lifelong (long life education) and is an important foundation in building an Islamic civilization that is moral, knowledgeable, and competitive.  

The development of modern education demands that teachers play a broader role beyond merely delivering subject matter, including building professional reputation, credibility, and positive influence on students, colleagues, parents, and society. For Christian Religious Education teachers, personal branding has a deeper dimension because they also serve as role models and ambassadors of Christian values. This study aims to describe the formation of personal branding among Christian Religious Education teachers based on spiritual and theological values, as well as its impact on teaching and student character development. The method used is descriptive qualitative through a literature study of books, journals, notes, and relevant reports, with narrative analysis to illustrate the practices and values that shape teachers’ personal branding. The findings indicate that the personal branding of Christian Religious Education teachers is an integration of professional competence, personal integrity, and Christian values, encompassing authenticity, consistency, professionalism, spiritual and moral role modeling, inspirational and communicative abilities, adaptation to technology, and positive relationships with students and the community. Spiritual and theological values such as Christian love, integrity, humility, patience, justice, service, and commitment to God’s Word form the main foundation that strengthens teachers’ credibility, motivates students, and establishes them as living examples of Christian life. Personal branding for Christian Religious Education teachers is not merely an image or popularity, but a real reflection of faith, character, and daily behavior consistent with Christian teachings, thus supporting effective learning, student character formation, and the teacher’s reputation as an authentic, inspiring, and professional educator.  

Information security incidents within government institutions have become a critical issue due to their potential impact on public trust and socio-economic stability. This study examines the social and economic impacts of information security incidents at the General Election Commission (KPU) of Jambi Province. The research aims to identify the types of security incidents that occurred, analyze their social and economic consequences, and evaluate mitigation efforts implemented by the institution. This study employs a qualitative case study approach, using data collection techniques including document analysis, media reports, and interviews with relevant stakeholders. The findings indicate that information security incidents significantly affect public trust in electoral institutions, increase public anxiety regarding personal data protection, and generate additional economic costs related to system recovery, security enhancement, and administrative delays. Furthermore, the incidents also indirectly affect voter participation and institutional reputation. The study highlights the importance of strengthening information security governance, improving human resource awareness, and implementing comprehensive risk management strategies. The results of this research are expected to contribute to the development of more resilient information security policies in public sector institutions, particularly in electoral management bodies.

Human personality is diverse and influences the way people act, think, and interact in daily life. These differences also appear in literature, especially in drama, where characters reveal their traits through dialogue, actions, and conflicts. This study aims to analyze the personality of Othello in William Shakespeare’s Othello using the Big Five Personality Traits (OCEAN). This research employs a qualitative descriptive method with data taken from selected dialogues and monologues that reflect Othello’s personality. The data were categorized into five dimensions: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. The findings show that Neuroticism (30.77%) is the most dominant trait in Othello’s character, followed by Extraversion (23.08%), Agreeableness (15.38%), Conscientiousness (15.38%), and Openness (15.38%). These traits influence his decisions, relationships, and eventual downfall, indicating that emotional instability and insecurity play a crucial role in the tragic development of the play. This study demonstrates how universal personality traits shape human behavior and conflict in Shakespeare’s drama and shows that modern psychological frameworks can be effectively applied to classical literature.

Employee retention is a crucial aspect in maintaining smooth operations and the quality of human resources within an organization. This study aims to analyze the influence of organizational support, career development, job satisfaction, organizational culture, and work-life balance on production employee retention at PT. Lucky Textile Semarang. The study employed a quantitative approach with a survey method, distributing questionnaires to 307 respondents, selected using the Slovin formula, from a population of 1,325 production employees. Data analysis was performed using multiple linear regression using IBM SPSS Statistics 27. The results indicate that organizational support has no effect on employee retention, career development has a positive and significant effect on employee retention, job satisfaction has a positive and significant effect on employee retention, organizational culture has a positive and significant effect on employee retention, and work-life balance has a positive and significant effect on employee retention. These findings confirm that internal factors related to personal development, job satisfaction, and a healthy work culture are the most important factors in employee retention decisions. Therefore, companies need to prioritize career advancement strategies, improve working conditions, and strengthen organizational culture to maintain a competent workforce in the long term.

The growing interest in learning the Japanese language in Indonesia, driven by popular culture such as anime, creates a need to understand the effectiveness of different learning media. The non-uniform effectiveness of media for each individual poses a major challenge. Therefore, this study aims to analyze the effectiveness of both anime and textbooks by segmenting learner profiles and identifying key determinants of success using an artificial intelligence approach. This research employed a quantitative method through a questionnaire survey of 120 respondents. The data were analyzed in two stages: the K-Means Clustering algorithm was used to group respondents into learner profiles, and the Decision Tree algorithm was used to identify the most significant factors that differentiate these profiles. The analysis successfully identified three distinct learner profiles: "Intensive & Adaptive Learner," "Flexible Learner," and "Passive Learner." The decision tree revealed that the perception of textbook effectiveness and the frequency of anime use are the strongest predictors in determining a learner's profile, more so than theoretical learning style preferences. It is concluded that media effectiveness is highly dependent on the learner's behavioral and perceptual profile, which underscores the importance of a personalized approach in language education technology.

Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy and RADAR-IoT support personalized medical recommendations and cross-platform interoperability. However, key challenges persist, including patient data privacy and security, system interoperability issues, data fragmentation, and barriers to user acceptance due to cost, digital literacy, and device comfort. Proposed solutions include blockchain for secure data sharing, adaptive congestion control for network performance, and user training to improve technology adoption. Therefore, successful IoT deployment in healthcare requires a comprehensive approach that addresses technological, social, ethical, and sustainability aspects to achieve an effective and inclusive transformation of health services.

Arabic grammar (nahwu) instruction has long been dominated by rule-based approaches that emphasize memorization and formal analysis, often resulting in rigid learning structures and limited responsiveness to learners’ cognitive diversity. While such approaches play an important role in preserving grammatical accuracy, they frequently overlook individual learning trajectories, cognitive readiness, and adaptive instructional needs. In the era of artificial intelligence (AI), language education is increasingly shaped by adaptive learning systems that personalize content, pacing, and instructional strategies based on learners’ profiles. This study aims to reconceptualize Arabic grammar instruction by proposing a conceptual framework that integrates traditional nahwu principles with adaptive learning systems informed by AI. Using a qualitative conceptual analysis, this paper synthesizes classical Arabic grammar pedagogy, contemporary theories of adaptive learning, and recent developments in AI-supported language instruction. The proposed framework highlights key components, including learner profiling, cognitive-level alignment, hierarchical nahwu content structuring, and AI-assisted scaffolding mechanisms. The findings suggest that adaptive learning systems offer significant pedagogical potential to transform nahwu instruction from a static, rule-centered model into a flexible, learner-centered process. This reconceptualization is expected to enhance grammatical comprehension, reduce cognitive overload, and promote learner autonomy in Arabic language education, particularly in Islamic higher education contexts. The study concludes by discussing pedagogical implications and directions for future empirical research on AI-assisted Arabic grammar learning.

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

This study aims to comprehensively describe the psychological dynamics of Natta's character in the novel Rumah Tanpa Cahaya through the framework of Sigmund Freud's psychoanalytic theory. The main focus of the study is to analyze the structural interactions of personality including the Id, Ego, and Superego, and to identify various self defense mechanisms activated by the character due to the internal conflict he experiences. The method used is descriptive qualitative with a literary psychology approach as the main analytical basis for dissecting the hidden inner character. The results of the study indicate that Natta's character's behavior is a form of integrative struggle that demands immediate gratification (Id), rational consideration of painful reality (Ego), and strong moral pressure from the internalization of social norms (Superego). Natta's Id demands the fulfillment of basic needs for security and affection. Meanwhile, the Superego provides moral pressure that triggers disproportionate anxiety. Natta's Ego operates as a mediator that works hard to balance the drives of the Id and the demands of the Superego, which forces the Ego to activate self-defense mechanisms such as repression, rationalization, and especially sublimation. This mechanism serves as a psychic barrier to maintain her mental stability and prevent her from experiencing total collapse due to the accumulation of past trauma. Overall, this novel depicts the complexity of the human psyche in the face of existential crises and unresolved past wounds.

The emergence of ChatGPT and other large language models has introduced unprecedented opportunities and challenges in educational settings. This study examines the dual nature of ChatGPT's integration into classroom environments, analyzing both its potential as an educational tool and the ethical concerns it raises regarding academic integrity. Through a mixed-methods approach combining surveys, interviews, and content analysis, this research investigates how educators and students perceive and utilize ChatGPT, the implications for learning outcomes, and the effectiveness of current academic integrity policies. Results indicate that while ChatGPT offers significant pedagogical benefits including personalized learning support and enhanced accessibility, it simultaneously poses risks to traditional assessment methods and raises questions about authorship and original thought. The study proposes a framework for responsible AI integration in education that balances innovation with academic integrity, emphasizing the need for updated policies, enhanced digital literacy, and redesigned assessment strategies. These findings contribute to the ongoing discourse on AI in education and provide practical recommendations for educators, administrators, and policymakers navigating this transformative technology.

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 integration of Artificial Intelligence (AI) into educational settings, particularly in formative assessments, offers significant benefits in terms of personalized learning, real time feedback, and increased efficiency. However, the successful implementation of AI driven formative assessments depends not only on technological capabilities but also on socio cultural and organizational factors that shape its adoption. This study explores the socio technical factors influencing the use of AI in formative assessments, emphasizing the importance of considering cultural diversity, institutional culture, and educators' beliefs. AI technologies, while powerful in automating grading and providing personalized assessments, often face limitations in addressing complex student responses that require human judgment. Furthermore, cultural factors, such as students' prior exposure to technology and different cultural attitudes towards AI, play a critical role in the acceptance and effectiveness of these tools. Organizational factors, including leadership support, digital literacy, and the readiness of institutions to adopt AI, are also key determinants in the successful implementation of AI systems in education. Teachers’ beliefs about assessment influence their acceptance and use of AI tools, highlighting the need for professional development and training to ensure that AI enhances pedagogical goals rather than replacing human expertise. The study concludes that the alignment of technology, culture, and assessment beliefs is essential for the effective use of AI driven formative assessments in educational settings. Recommendations for educational institutions include adopting a socio technical approach to AI integration, with a focus on providing resources, training, and fostering a culture of innovation. Future research directions should focus on expanding studies to diverse educational contexts, conducting longitudinal research on AI’s impact on learning outcomes, and exploring additional socio technical frameworks to guide AI adoption in education.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

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.