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Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments

This study aims to examine the role of teachers in developing emotional intelligence among adolescent students at SMP Kesatrian Surakarta. Emotional intelligence is an essential aspect that supports academic achievement, social relationships, and character development. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews with 15 teachers teaching grades VII to IX, participant observations in classroom settings, and analysis of relevant school documents. The findings reveal that teachers play a strategic role in fostering students’ emotional intelligence through three primary approaches: emotional modeling by demonstrating appropriate emotional management (45%), facilitating emotion-based learning activities (30%), and evaluating students’ emotional intelligence development (25%). These roles significantly contribute to improving students’ self-awareness, self-regulation, empathy, and social skills. Supporting factors include emotional intelligence training programs provided by the local education authority and the school’s commitment to creating a supportive learning environment. However, major challenges consist of high administrative workloads among teachers (70%) and limited counseling facilities (50%). This study recommends continuous teacher training, the integration of emotional intelligence modules into lesson plans, and collaboration with school psychologists to ensure long-term monitoring and development of students’ emotional competencies. The findings contribute to the enrichment of emotional intelligence literature within the context of Indonesian secondary education.

The development of artificial intelligence (AI) has fundamentally transformed digital marketing communication, while emerging as a strategic instrument in public relations practices of global corporations. This study aims to examine the construction of meaning around artificial intelligence as a financial solution within the cultural context of Lebaran, while analyzing the PR communication strategy employed by Google Indonesia in building persuasive messages for its public on digital platforms. The research object is a video advertisement posted on the official Instagram account @googleindonesia on March 7, 2025, promoting the Gemini Canvas feature for managing Tunjangan Hari Raya (THR) budgets. This study employs a descriptive qualitative approach with an interpretive paradigm, integrating two complementary analytical perspectives: first, Roland Barthes three-level semiotic analysis — denotation, connotation, and myth — to deconstruct meaning constructed through visual, verbal, and auditory signs in the advertisement; second, the PR communication strategy framework from Smith (2021) to identify how the choices of mascot, emotional message, and cultural appeal represent strategically planned communication decisions by Google Indonesia. The findings reveal that Google Indonesia constructs Gemini Canvas as an empathetic and culturally aware entity through three key elements: anthropomorphic symbolism in the form of a bespectacled cat functioning as brand mascot, local cultural markers of ketupat and THR, and Arabic-nuanced music that aurally reinforces the Lebaran atmosphere — all representing deliberate strategic PR decisions. From Smith’s (2021) perspective, the advertisement applies a proactive communication strategy combining negative emotional appeal — financial anxiety ahead of THR — immediately followed by positive emotional appeal as a concrete solution through Gemini Canvas, representing a structured form of public perception shaping. At the myth level, the advertisement normalizes reliance on digital platforms through systematic cultural localization. This study contributes to understanding AI-based digital marketing communication strategies and the shaping of public perception on AI technology by global corporations in the Indonesian market.  

For every child to receive an equal education, inclusive education at the early childhood education (PAUD) level is a strategic step. The purpose of this study is to thoroughly study the basic concepts of inclusive education in early childhood, identify various types of specific challenges for Children with Special Needs (ABK) in regular classes, and evaluate how effective the use of inclusive learning methods is in optimizing child development. This study uses a literature review with a descriptive qualitative approach. Secondary data were analyzed using content analysis. According to the study, teachers in regular classes face multidimensional characteristics of ABK. These obstacles include visual impairment, deafness, mental retardation, physical disability, emotional retardation/ADHD, autism, and exceptional intelligence. To overcome these problems, it has been proven that the use of assistive technology, a more flexible curriculum, individualized learning programs (IPC) based on initial assessment, varied teaching methods, and a friendly environment can be helpful. This study shows that teachers are not the only key to the success of inclusive education. This requires strong multi-stakeholder collaboration between the government, schools, special education teachers (GPK), professionals, and parents to address facility challenges and eliminate existing stigma in the field.

Digital transformation has positioned artificial intelligence (AI) as a major driver of organizational change and innovation. This study aims to analyze the influence of AI implementation on transformational leadership dynamics and the shifting role of leaders in managing human resources through a Systematic Literature Review of reputable studies published within the last five years. The findings indicate that AI acts as a catalyst in strengthening the dimensions of intellectual stimulation and individualized consideration through predictive analytics and talent personalization. The automation of administrative and repetitive tasks enables leaders to focus more on strategic vision, organizational innovation, decision-making, and emotional engagement with employees. However, the effectiveness of AI implementation is highly dependent on leaders’ digital literacy, adaptive capabilities, and readiness to integrate technology into organizational processes. This study contributes by proposing a hybrid leadership framework that combines artificial intelligence with human emotional intelligence to support more effective leadership practices. The practical implications emphasize the importance of leadership development that prioritizes empathy, ethical awareness, and algorithmic transparency in order to maintain trust, encourage sustainable innovation, and strengthen organizational resilience in increasingly dynamic and volatile environments.

Pastoral care within the Voice of Truth Gospel Church throughout North Sumatra has experienced a decline in quality in fostering the maturity of faith and the spiritual life of the congregation. The purpose of this study is to determine the extent to which emotional intelligence influences the quality of pastoral care within the Voice of Truth Gospel Church throughout North Sumatra. This study uses a quantitative approach. The data obtained were analyzed using simple linear regression techniques. This study proves that: Based on data reduction, it is known that the emotional intelligence of pastors, administrators, and servants of the Voice of Truth Gospel Church in the North Sumatra region is in the high category; Based on the results of data reduction, it is also known that the majority of respondents assess that pastoral care within the Voice of Truth Gospel Church throughout North Sumatra has been running quite effectively; Emotional Intelligence has a positive and significant effect on the variable of Pastoral Care Quality. This can be seen from the calculated t (8.857) > t table (1.65437) and Sig. (0.000) < 0.05, and based on the results of the coefficient of determination test, it is known that the Quality of Herding is influenced by the Emotional Intelligence variable with a value of 61.2% and the remaining 39.8% is influenced by other variables outside this study.

The digital transformation driven by the acceleration of Artificial Intelligence (AI) has fundamentally transformed leadership paradigms and the structure of the modern workplace. This study aims to provide an in-depth analysis of the various strategic opportunities and systemic risks arising from the integration of AI into contemporary organizational leadership practices, where technology is no longer merely a tool but a collaborative partner in managerial processes. Using a Systematic Literature Review (SLR) method on 30 reputable scientific journals with publications spanning up to 2026, this article analyzes the transition of the leader’s role from a conventional hierarchical model toward the concept of Augmented Leadership. Data analysis results indicate that AI implementation offers significant opportunities through data-driven decision-making systems with high precision, intelligent resource allocation optimization, and enhanced leadership intervention effectiveness, which has been documented to reach up to 35%. However, this transformation also brings a series of complex multidimensional risks, including algorithmic biases that could trigger inequality cascades, ethical dilemmas related to operational transparency (black box), and the potential erosion of the meaning of work for employees. The discussion in this article emphasizes that the success of this transformation depends not only on technical expertise, but also on redefining leadership competencies to prioritize emotional intelligence and ethical governance frameworks such as the CARE Framework (Control, Awareness, Responsibility, and Evaluation).

Leadership in educational management has a strategic role in determining the success of educational implementation. This study aims to examine the integrative paradigm between psychology and leadership in educational management, focusing on the psychological dimensions of educational leadership. This research employs a qualitative approach using a systematic literature review method. Data were collected from scientific articles published between 2020 and 2026 through Google Scholar using Publish or Perish. The findings indicate that the integration of psychological perspectives into leadership significantly enhances organizational effectiveness, particularly in fostering work motivation, strengthening interpersonal communication, and improving adaptive decision-making. Furthermore, psychological approaches contribute to conflict management and the development of a positive organizational climate. The study also highlights that leadership effectiveness is strongly influenced by psychological characteristics such as personality, emotional intelligence, and empathy. Therefore, integrating psychology into leadership serves as a strategic foundation for advancing educational management and improving human resource performance sustainably.

This study aims to examine the impact of academic burnout on students’ mental health in the context of hybrid learning through a literature review approach. The rapid transformation of learning systems in higher education, particularly the integration of online and offline methods, has increased academic demands and adaptation challenges for students. This condition potentially triggers academic burnout, which is characterized by emotional exhaustion, depersonalization, and decreased academic achievement. This research employs a literature review method by analyzing relevant scientific articles published between 2019-2025 obtained from indexed national journals and open-access sources. The findings indicate that academic burnout is still commonly experienced by students, generally at a moderate level, and has a significant impact on mental health, including increased stress, emotional fatigue, and decreased academic performance. The study also identifies several influencing factors, including internal factors such as self-efficacy and hardiness, as well as external factors such as social support, learning environment, and academic workload. Furthermore, technological developments, particularly Artificial Intelligence, have the potential to be utilized as an early detection and prevention tool for academic burnout. This study implies the importance of developing adaptive learning strategies and psychological interventions to support students’ well-being in hybrid learning environments.

This research is based on the reality that classroom management often tests teachers' emotional stability, especially when dealing with highly active students. This study focuses on how teachers use emotional intelligence to control themselves when facing challenging learning situations. The purpose of this study is to describe the forms of emotional regulation carried out by teachers and their influence on the effectiveness of classroom management. The research was conducted using a qualitative descriptive approach through observations and interviews with teachers. The results show that effective emotional management is carried out through several methods, such as increasing self-awareness to recognize stress triggers, pausing before responding to student behavior, and trying to understand the background of student activity through empathy. Teachers with good emotional intelligence tend to be able to direct student activity into more positive learning participation, rather than responding to it with reactive or authoritarian responses. This study emphasizes the importance of strengthening psychological aspects and emotional management skills in teacher professional development programs. Emotional maturity not only helps create a more harmonious classroom atmosphere but also forms the basis for inclusive learning interactions and supports the continuous development of student character.

The development of Artificial Intelligence (AI) integrated with biometric technology has opened new opportunities in leadership development, particularly in enhancing emotional regulation capabilities within high-stakes environments. This study aims to analyze the role of AI-driven biometric feedback in improving self-awareness, emotional regulation, and decision-making quality among leaders. The study employs a systematic literature review approach by examining recent reputable scientific publications related to AI, biometrics, and leadership. The findings indicate that physiological data such as heart rate variability (HRV) and galvanic skin response (GSR), when processed through AI systems, can provide real-time feedback that enhances individuals’ ability to recognize and regulate emotions adaptively. Furthermore, the integration of this technology contributes to improved accuracy and consistency in decision-making under pressure. The results also reveal that the effectiveness of implementation is influenced by both technical and non-technical factors, including data quality, algorithm accuracy, and user acceptance. This study contributes to strengthening the integration of psychological and technological approaches in modern leadership research and offers practical implications for developing data-driven leadership training programs in the digital era.

This study aims to analyze the influence of intellectual intelligence, emotional intelligence, and love of money on the ethical behavior of accounting students. The research method used is a quantitative approach. The population in this study were accounting students from the 2021 and 2022 intakes of Padang State Polytechnic. This study used primary data collected by distributing questionnaires via Google Forms using a purposive sampling technique, resulting in 119 respondents. The data analysis method used multiple linear regression with IBM SPSS Statistics 25 software. The results show that intellectual intelligence and emotional intelligence partially influence the ethical behavior of accounting students, while love of money does not. Simultaneously, intellectual intelligence, emotional intelligence, and love of money influence the ethical behavior of accounting students.

Psychological well-being in the workplace and educational environment is influenced not only by policies and facilities but also by psychological approaches that touch on individuals' mental, emotional, and spiritual aspects. This study aims to explain how psychological approaches can enhance well-being and motivation. The results of the study show that integrating Islamic educational values, mindfulness, and emotional intelligence can help individuals manage stress, increase self-confidence, and strengthen the meaning of life. In addition, adjusting learning materials to the needs of students also plays a role in supporting mental health. Individual motivation can be increased through approaches that align with psychological needs, such as fulfilling basic needs, providing rewards, and supporting autonomy and social relationships. The implementation of strategies such as open communication, good leadership, and a comfortable work environment also contributes to increasing motivation and performance. Thus, the psychological approach has an important role in creating a healthy, productive, and sustainable educational and organizational environment.

This study aims to analyze the influence of effective communication on the emotional intelligence of early childhood. Effective communication is the process of conveying clear, empathetic, and responsive messages between educators or parents and children, which plays a crucial role in shaping children's abilities to recognize, understand, and manage emotions. Emotional intelligence is an essential aspect of child development because it supports social adaptation, self-regulation, and positive interpersonal relationships. The research method used was a quantitative approach with a correlational design. The subjects were early childhood education institutions attending early childhood education institutions, with data collection techniques through observation, questionnaires, and documentation. Data were analyzed using statistical procedures to determine the relationship between the variables studied. The results showed a significant influence between effective communication and children's emotional intelligence. Children who receive good communication tend to have higher empathy skills, are able to control their emotions, and establish positive social relationships. In addition, effective communication helps children express their feelings appropriately and develop self-confidence. Thus, effective communication is an important factor in the development of emotional intelligence in early childhood. This research is expected to serve as a reference for educators and parents in improving the quality of interactions with children and supporting optimal child development.

This study aims to examine the influence of emotional intelligence on the academic achievement of public high school students through a systematic literature review approach. Emotional intelligence is defined as an individual's ability to recognize, understand, manage, and express emotions adaptively, which includes five main dimensions: self-awareness, self-regulation, self-motivation, empathy, and social skills. This study uses a systematic literature review method guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). A literature search was conducted through the Google Scholar, Sinta, and DOAJ databases using the keywords "emotional intelligence", "learning achievement", "emotional intelligence", and "academic achievement" with a publication period of 2014–2024. Of the total 87 articles identified, screening based on title and abstract resulted in 43 articles, then selection based on inclusion and exclusion criteria resulted in 18 articles that met the requirements for in-depth analysis. The inclusion criteria included articles discussing the relationship between emotional intelligence and academic achievement, written in Indonesian or English, having gone through a peer-reviewed process, and published in accredited journals. The synthesis results show that emotional intelligence has a positive and significant influence on the academic achievement of public high school students, with contributions ranging from 21% to 34% (R² = 0.21–0.34; p < 0.05). The dimensions of self-regulation and self-motivation were shown to be the most dominant components in influencing student academic achievement. In addition, this relationship was moderated by factors of self-confidence, parental support, and a conducive school climate. The conclusion of this study confirms that the development of emotional intelligence needs to be systematically integrated into educational programs in schools to produce students who excel academically as well as emotionally and socially mature.

Mental health among university students has become a critical concern in higher education, particulary as students are required to cope with increasing academic demands, social pressures,and the growing complexity of campus life. At this stage, students are in an early transitional period that requires them to adapt to various changes, both academically and psychosocially. Under thes circumstances, psychological factor play a significant role in helping student maintain mental balance, one of which is emotional intelligence. This study aims to explore and understand the relationship between emotional intelligence and students’ mental health through a literature review approach. The method employed in this study is a qualitative descriptive literature review of 18 national and international scholarly articles published between 2021 and 2025, focusing on topics related to emotional intelligence, academic stress, emotion regulation, and student mental health. The findings indicate that emotional intelligence demonstrates a strong and consistent association with various aspects of students’ mental health, including levels of academic stress, anxiety, depression, academic, burnout, resilience, adjustment abilities, and psychological well being. Students with higher levels of emotional intelligence tend to be more capable of recognizing and understanding their emotions,as well as managing them adaptively when facing academic and social pressures. These abilities contribute to reducing the risk of excessive psychological distress. Furthermore, emotional intelligence functions as a protective factor that support the development of effective coping strategies and healty interpersonal relationship. Therefore, fostering emotional intelligence, through promotive and preventive programs within higher education instituions has the potential to become a strategic effort in enhacing and sustaining students’mental health over the long term.

This study aims to analyze the influence of emotional intelligence on job satisfaction and job performance, with employee adaptability as a mediator. The subjects were employees of Kospin Jasa Regional Office (Kospin Jasa) in Yogyakarta and Central Java. A sample of 178 respondents was selected using a census technique and a questionnaire was distributed using Google Forms. The analysis tool used was Structural Equation Modeling (SEM) based on Partial Least Square (PLS) software. The results of this study indicate that employee adaptability has a positive and significant effect on job satisfaction, employee adaptability has a positive and significant effect on job performance, emotional intelligence has a positive and significant effect on employee performance, emotional intelligence has a positive and significant effect on job satisfaction, and the influence of emotional intelligence on job performance has a positive and significant effect. Employee adaptability acts as a positive mediator in the influence of emotional intelligence on job satisfaction. Employee adaptability can be interpreted as a positive mediator in the influence of emotional intelligence on job performance.

The architecture of consumer decision-making has completely changed due to the quick development of recommendation systems based on artificial intelligence (AI). The majority of earlier studies saw algorithms as instruments for forecasting and maximizing preexisting preferences. This study, however, makes a different claim: algorithmic curation actively shapes preferences rather than just reflecting them. This study creates and evaluates a structural model that examines the impact of algorithmic curation intensity on perceived search autonomy, identity resonance, affective evaluation, and the development of initial preferences. The model is based on identity-based consumption theory and the literature on human-AI interaction. The study's findings, which are based on survey data from Generation Z consumers and Structural Equation Modeling (SEM) analysis, demonstrate a contradictory dynamic: algorithmic curation improves identity resonance and directly influences initial preferences while simultaneously decreasing feelings of autonomy. The primary mediating mechanism that links algorithmic exposure to emotional assessment and preference creation is identified as identity resonance. In addition to introducing the concept of algorithmic consumer formation as a new conceptual framework for comprehending consumer behavior in the AI-based digital era, our findings expand the notion of bounded rationality toward algorithmically bounded agency.

Pastoral care within the Voice of Truth Gospel Church throughout North Sumatra has experienced a decline in quality in fostering the maturity of faith and the spiritual life of the congregation. The purpose of this study is to determine the extent to which emotional intelligence influences the quality of pastoral care within the Voice of Truth Gospel Church throughout North Sumatra. This study uses a quantitative approach. The data obtained were analyzed using simple linear regression techniques. This study proves that: Based on data reduction, it is known that the emotional intelligence of pastors, administrators, and servants of the Voice of Truth Gospel Church in the North Sumatra region is in the high category; Based on the results of data reduction, it is also known that the majority of respondents assess that pastoral care within the Voice of Truth Gospel Church throughout North Sumatra has been running quite effectively; Emotional Intelligence has a positive and significant effect on the variable of Pastoral Care Quality. This can be seen from the calculated t (8.857) > t table (1.65437) and Sig. (0.000) < 0.05, and based on the results of the coefficient of determination test, it is known that the Quality of Herding is influenced by the Emotional Intelligence variable with a value of 61.2% and the remaining 39.8% is influenced by other variables outside this study.

This study examines the predictive influence of religious habituation and teacher role modeling on students’ emotional intelligence in an Islamic elementary school context. A quantitative approach with an ex post facto design was employed, involving 78 students selected through total sampling. Data were collected using Likert-scale questionnaires and analyzed using multiple linear regression. The findings indicate that religious habituation has a positive and significant effect on students’ emotional intelligence, while teacher role modeling demonstrates a relatively stronger contribution. Simultaneously, both variables significantly predict emotional intelligence, explaining 74.9% of its variance. These results suggest that students’ socio-emotional development is shaped by the integration of structured religious practices and pedagogical modeling within the school environment. The study contributes to the ecological-religious perspective on character education by emphasizing the importance of consistent spiritual habituation and teachers’ personal competence in fostering emotional regulation and social skills. Practically, Islamic elementary schools are encouraged to strengthen religious culture programs and support teachers’ emotional and moral development to enhance students’ emotional intelligence.