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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.

This study aims to analyze the effect of employer branding on the job interest of Generation Z in digital companies. The background of this research is based on the increasing competition among companies in attracting young talents, especially Generation Z, who have unique characteristics such as being highly adaptive to technology, prioritizing work-life balance, and having high expectations toward the workplace environment. Employer branding has become an essential strategy for companies to build an attractive and competitive image as an employer. This study employs a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 100 respondents from Generation Z who are seeking jobs or interested in working in digital companies. The sampling technique used was purposive sampling. Data analysis techniques include validity testing, reliability testing, simple linear regression analysis, and t-test. The results indicate that employer branding has a positive and significant effect on Generation Z’s job interest. This implies that the better the company’s image as an employer, the higher the interest of Generation Z to work in the company. This study suggests that digital companies need to strengthen their employer branding strategies to attract and retain young talents.

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.

The Pious Children Festival is a collaborative work program implemented by students (KKN) of Batang Hari Islamic University in Jelutih Village, Batin XXIV District. This activity aims to instill religious values ​​and strengthen children's self-confidence from an early age. A pious child is defined as an individual who consistently behaves well, possesses strong faith, and is devout in practicing Islamic teachings. The objectives of the Pious Children Festival include: (1) increasing children's enthusiasm for studying Islamic teachings, (2) developing children's interests and talents in religious matters, and (3) fostering children's self-confidence in showcasing their abilities. This activity is packaged in the form of religious competitions that include the call to prayer (adhan), memorization of short surahs (chapters), daily prayers, Qur'an recitation, and an Islamic fashion show. Participants from the PAUD (Early Childhood Education), Kindergarten (TK), and RA (Islamic Elementary School) levels take part. The implementation method involves several stages: analyzing the needs of early childhood children, planning activities, implementing programs, and evaluating and following up on the results. The results of the Pious Children Festival demonstrated an increased enthusiasm among the children of Jelutih Village for learning about Islam. Furthermore, this activity also had a positive impact on increasing the children's courage and confidence in showcasing their religious talents. This was evident in the changes in the attitudes of several boys who previously lacked confidence in performing the call to prayer, but after participating in this activity, became more courageous and confident.

This paper aims to analyze the influence of Human Resource Reform and Transformational Leadership on Civil Servant Professionalism, with Resistance to Change as a mediating variable. The research focuses on civil servants at the Semarang City Personnel, Education and Training Agency (BKPP Semarang City), an institution at the forefront of bureaucratic reform and talent management. A quantitative approach was employed through a survey of 77 civil servants using a saturated sampling technique. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the direct and mediation relationships between the research variables. The results showed that Human Resources Reform of Civil Servants and Transformational Leadership had a positive and significant effect on ASN Professionalism. Transformational Leadership was also proven to reduce Resistance to Change, while Human Resources Reform had an indirect effect through reducing resistance. In addition, Resistance to Change had a significant negative effect on ASN Professionalism and mediated the relationship between Human Resources Reform of Civil Servants and ASN Professionalism. These findings confirm that merit system reform, competency development, and inspirational leadership are key factors in improving ASN professionalism, especially when psychological and structural barriers in the form of resistance to change can be minimized. This study provides theoretical contributions in the development of a model of ASN professionalism as well as practical recommendations for local governments in strengthening the implementation of bureaucratic reform.

The Pious Children Festival is a collaborative work program implemented by students (KKN) of Batang Hari Islamic University in Jelutih Village, Batin XXIV District. This activity aims to instill religious values ​​and strengthen children's self-confidence from an early age. A pious child is defined as an individual who consistently behaves well, possesses strong faith, and is devout in practicing Islamic teachings. The objectives of the Pious Children Festival include: (1) increasing children's enthusiasm for studying Islamic teachings, (2) developing children's interests and talents in religious matters, and (3) fostering children's self-confidence in showcasing their abilities. This activity is packaged in the form of religious competitions that include the call to prayer (adhan), memorization of short surahs (chapters), daily prayers, Qur'an recitation, and an Islamic fashion show. Participants from the PAUD (Early Childhood Education), Kindergarten (TK), and RA (Islamic Elementary School) levels take part. The implementation method involves several stages: analyzing the needs of early childhood children, planning activities, implementing programs, and evaluating and following up on the results. The results of the Pious Children Festival demonstrated an increased enthusiasm among the children of Jelutih Village for learning about Islam. Furthermore, this activity also had a positive impact on increasing the children's courage and confidence in showcasing their religious talents. This was evident in the changes in the attitudes of several boys who previously lacked confidence in performing the call to prayer, but after participating in this activity, became more courageous and confident.

This paper aims to describe the implementation and development of the Merdeka Curriculum at SD IT Permata Hati Entrop, an Integrated Islamic Elementary School. As an educational institution with a vision of integrating general knowledge with Islamic values, SD IT Permata Hati adapts the national curriculum to create learning that is more flexible, focused on essential content, and character-based. This curriculum is developed to optimize students’ potential holistically, encompassing cognitive, affective, and psychomotor aspects through the strengthening of the Pancasila Student Profile.The main focus of curriculum development at this school consists of three pillars: innovative intracurricular learning, the Project for Strengthening the Pancasila Student Profile (P5), and extracurricular activities that support students’ interests and talents. In its implementation, the school applies active learning methods such as Problem-Based Learning (PBL) and contextual learning linked to daily life and Islamic principles. The evaluation process is conducted through formative and summative assessments that are humanistic and reflective in nature. The outcomes of this development are expected to equip students with 21st-century skills and strong religious character in accordance with the demands of the times.

The rapid development of the digital era requires human resources to not only master software, but also understand hardware infrastructure. This community service program aims to improve the technical competence and digital literacy of the people of Pati Regency through a PC assembly and optimization workshop. The method used is the Participatory Action Learning Sistem (PALS), in collaboration with "Pati Tech" as an industry partner, and utilizing the campus computer laboratory as a training center. Activities consisted of orientation, planning, and hands-on practice in PC assembly. The results of the community service program showed a significant increase in the technical skills of participants, as reflected in the average pre-test score of 52.5 which increased to 86.4 in the post-test. Participants are now able to assemble and optimize sistem independently. The implication of this activity is the formation of independent digital talents who can manage digital infrastructure, which is expected to support the development of the local creative economy in Pati Regency. This program contributes to improving technological skills relevant to the needs of the digital market.

This research aims to analyze the adaptive role of a dance teacher in teaching the subject of music art at SMK Asta Mitra Purwodadi, as well as identifying the patterns of collaborative approaches and the implementation of the Deep Learning strategy in the learning process. This phenomenon attracts researchers due to the case of a teacher teaching cross-disciplinary subjects, although still within the domain of the arts. This study employs a qualitative method using observation, semi-structured interviews, and documentation techniques. The main subject of this research is Bu Evi, a dance teacher who also serves as the music art instructor. The research results indicate that the non-specialist teacher (with a dance background) successfully overcomes limitations in teaching music by performing a role transformation into a facilitator focusing on expression, rhythm, and performance. The implementation of Deep Learning is realized effectively through a kinesthetic approach, where abstract music concepts (such as tempo and dynamics) are translated through body movement exploration, which is proven to increase student enthusiasm and understanding. Furthermore, the teacher implements a strategic collaborative pattern with the music extracurricular teacher, where responsibilities are divided between aspects of expression/movement and the deepening of theory/vocal technique, ensuring talented students still receive adequate technical development. Assessment focuses on performative aspects (expression, tempo, teamwork, and self-confidence). This research concludes that the teacher's professionalism and pedagogical creativity are the main keys to bridging competency gaps, while simultaneously ensuring the achievement of the goals of the Merdeka Curriculum in shaping student character and 21st-century skills.

This study examines the dynamics of Data Driven Policy implementation in Indonesia, which faces a disconnect between the ambitions of digital regulation and the reality of execution on the ground. Using a qualitative approach with the Three Lenses of Evidence-Based Policy analysis framework (Head, 2008), this study examines the interaction between scientific evidence, political considerations, and professional practices in government data governance. The results show that although legal infrastructure such as Satu Data Indonesia (SDI) has been established, its effectiveness is hampered by structural barriers: the dominance of sectoral egos and a culture of intuitive decision-making (political lens), as well as a mix of digital talent and resistance from a paternalistic bureaucratic culture (practical lens). These findings confirm that data fragmentation and cybersecurity incidents are not simply technical failures, but rather systemic governance failures. Therefore, this study recommends a “soft reform” strategy that integrates the enforcement of technical standards, budget incentive mechanisms, and digital leadership transformation to align data validity with the political realities of the bureaucracy.

Physical education in schools is still dominated by the introduction of popular sports, thus limiting students' sports literacy and opportunities for early childhood sports development and development. This condition results in less than optimal development of students' overall potential. This community service activity aims to encourage increased sports literacy, the formation of active lifestyle habits, and the emergence of the embryo of woodball athlete development at the school level. The method used is a library-based community service with data collection techniques through book reviews, scientific journals, research reports, and various relevant literature related to student development, sports development, and the introduction of woodball. The data obtained were analyzed using content analysis techniques to identify patterns, concepts, and relationships between variables. The results of the community service indicate that the introduction of woodball as an alternative sport has significant potential to increase sports literacy, support character development, develop motor skills, and encourage more inclusive and sustainable sports development in the school environment.

This study examines the video content production process at Digital Hub Sinar Mas Land as a visual communication strategy to support branding for a digital innovation area. The background of this research stems from the increasing need for organizations to produce creative and informative content as social media becomes a primary channel for information distribution. The study aims to describe the stages of pre-production, production, and post-production, and to identify challenges that affect the effectiveness of video content creation. A qualitative descriptive method was used through active participation, observation, interviews, and literature review. The findings show that concept planning, scriptwriting, and storyboard development form the foundation of successful production. The production stage emphasizes camera techniques, talent coordination, and visual consistency aligned with communication goals. The post-production stage focuses on technical editing to strengthen the audiovisual message structure and prepare content for publication. Key challenges were found in storyboard development, talent performance during filming, and audio processing that required detailed adjustments. The results highlight the importance of thorough planning and coordinated teamwork to ensure that video content effectively supports branding strategies.

The dynamics of student organization structure have significant implications for talent retention and student career development. This study aims to comparatively analyze the influence of centralization and decentralization structures in the Information Technology Study Program Student Association on the effectiveness of talent retention strategies and career development capacity. The research method uses a quantitative approach with a comparative design involving 120 respondents selected through purposive sampling technique with criteria of at least one period of organizational experience. Data collection instruments use structured Likert scale questionnaires that have been tested for validity and reliability with Cronbach's Alpha values above 0.80. Data analysis uses Structural Equation Modeling and independent sample t-test to compare both structural models. The results show that the decentralization structure has a strong significant effect on talent retention with a path coefficient of 0.628 compared to centralization of 0.312. Comparative analysis identifies substantial differentiation in all dimensions of career development with the decentralization structure consistently outperforming centralization, especially in the aspect of decision-making autonomy. The findings confirm that the distribution of authority in decentralization creates a learning ecosystem that facilitates diversification of leadership experiences and strengthens students' organizational commitment through participatory empowerment mechanisms.

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is accelerating and reshaping how organizations attract, develop, manage, and retain talent. Despite abundant case examples and growing practitioner interest, academic findings remain fragmented regarding the antecedents (drivers), impediments (barriers), and organizational effects (outcomes) of AI-based HR transformation. This paper presents a PRISMA-guided systematic literature review of 112 peer-reviewed articles (2015–2025) to synthesize empirical and conceptual evidence on AI in HRM. Results identify three primary drivers: technological capability, strategic alignment, and a data-driven culture; three critical barriers: ethical concerns (bias, privacy, and transparency), skill and capability gaps, and resistance to change; and three outcome clusters: operational efficiency, enhanced employee experience, and elevated strategic HR contribution. We propose a socio-technical conceptual framework that models drivers moderated by barriers to outcomes, and we advance a research agenda focused on ethical governance, human–AI collaboration, capability measurement, and longitudinal evaluation. The review contributes to theory by integrating socio-technical and dynamic capability  perspectives and provides actionable guidance for HR leaders on responsible AI adoption.

Village entrepreneurship is an initiative designed to stimulate regional economic growth by accelerating the development of rural areas, which have long been perceived as slow, less productive, and lagging behind urban centers. The creation of entrepreneurial villages offers a concrete strategy to enhance community productivity because it encourages all components of the village government, residents, and local institutions to participate in structured and collaborative entrepreneurial activities. Such villages are expected to generate new economic opportunities, strengthen local industries, and increase community independence. However, initial observations from this Community Service program show that partner villages still face significant barriers, including limited land area, geographical remoteness, and inadequate human and natural resources. Many peripheral villages have not yet utilized digital technology effectively, making it difficult to expand markets or access broader economic networks. In addition, challenges related to financial access, limited talent development, socio-cultural constraints, and weak market infrastructure continue to hinder economic progress. These conditions demonstrate the urgent need for strategic assistance, capacity-building programs, and stronger support systems to help villages transform into sustainable entrepreneurial ecosystems capable of contributing to long-term regional development.

This study conducts a systematic literature review (SLR) and bibliometric analysis to map and synthesize research on digital transformation in talent management and its impact on employee retention in Micro, Small, and Medium Enterprises (MSMEs). Against the backdrop of high turnover rates and intense competition for talent, this research aims to identify the key interconnections between digital technologies, talent management practices, and retention outcomes within the MSME context. The methodology involved a comprehensive analysis of reputable databases using VOSviewer software for bibliometric mapping, focusing on co-authorship, co-occurrence, and citation networks. The findings reveal a robust, interconnected model centered on three core pillars: the adoption of digital technologies (e.g., AI, cloud-based HR systems), the implementation of strategic talent practices (notably digital employer branding and work flexibility), and the critical mediating role of employee psychological factors (job satisfaction and organizational commitment). The analysis demonstrates that successful retention in MSMEs is not merely a function of technological adoption but is achieved through a synergistic integration where technology enables effective talent management, which in turn fosters commitment and reduces turnover intention. This review contributes a comprehensive conceptual model that clarifies these dynamic relationships. The practical implication for MSME managers is the necessity of a holistic strategy that simultaneously develops digital infrastructure, refines talent management, and cultivates a supportive organizational culture to secure a sustainable competitive advantage through enhanced employee retention.

This study investigates how the perception of corporations acts as a mediator connecting employer branding with applicants’ intentions to apply for jobs from the Gen Z demographic in Indonesia’s private banking sector. While the broader context refers to the Indonesian private banking industry, the empirical support identified in this study was drawn from Semarang, involving 120 Generation Z respondents who were either final-year students or recent graduates residing in the city. A quantitative design was conducted through a survey approach with purposive sampling, and data were acquired through web-based questionnaires. The evaluation was carried out employing the PLS-SEM method with SmartPLS version 4. 0. The findings indicate that employer branding significantly influences both the reputation of the company and the likelihood of application in a positive manner. Additionally, a company's reputation is strongly and positively linked to the intention to apply, serving as a bridge between employer branding and the desire to seek employment opportunities. The study highlights that employer branding, when managed effectively, enhances Generation Z’s application intention, operating both as a direct driver and via the mediating influence of corporate reputation. Practically, this implies private banks in Indonesia particularly those operating in Semarang should concentrate on advancing employer branding practices while upholding a strong corporate reputation to draw and involve talented candidates from Generation Z. This study provides a contribution to the academic field by highlighting empirical evidence collected in Semarang reflect the interaction between employer branding and corporate reputation in influencing job application behavior of Generation Z within the private banking sector.

An organization's inability to build employee loyalty amidst competitive business pressures can have a direct impact on productivity, operational efficiency, and the retention of key talent. This study aims to analyze the role of job satisfaction as a key mediator in increasing employee loyalty at PT. Dua Kelinci. This study used a quantitative approach with a survey method by distributing questionnaires to a total of 190 active employees of PT. Dua Kelinci. Data were analyzed using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that Motivation, job stress, and job satisfaction were proven to have a significant effect on employee loyalty, while the work environment, workload, and work rewards did not have a significant direct effect. However, the job satisfaction variable was able to significantly mediate the relationship between Motivation, job stress, work environment, and workload on employee loyalty, but did not significantly influence employee loyalty through job satisfaction. These findings confirm that job satisfaction is not only the result of good working conditions, but also a key factor in building and strengthening employee loyalty indirectly. Practically, this study provides an important contribution to companies in designing strategies to increase employee loyalty. Theoretically, this study enriches the literature on mediation mechanisms in employee behavior models, particularly in the context of the manufacturing industry.

Selecting a faculty that aligns with students’ interests and talents is a strategic step in determining the success of higher education and future career paths. However, most vocational high school (SMK) students still face difficulties in identifying the most suitable faculty due to the lack of data-driven analysis. This study implements the C4.5 classification algorithm within data mining techniques to build an automatic and measurable faculty recommendation system. The dataset consists of attributes such as SMK major, interest level, aptitude test results, academic grade average, and gender, with the output being the recommended faculty. The C4.5 algorithm was chosen for its ability to generate a transparent and interpretable decision tree, which helps both guidance counselors and students understand the rationale behind the recommendations. The experimental results show that the constructed classification model achieved an accuracy rate of 88%, based on cross-validation testing using data from 12th-grade students. The implementation of this system is expected to serve as an objective tool in the faculty selection process and to promote a data-driven decision-making approach in secondary education environments.

This study analyzes the optimization of creative content production on the TikTok platform of Garuda Systrain Interindo, a company engaged in occupational safety and health (K3) certification services. The research aims to (1) identify how the content production process is optimized and (2) examine how such optimization improves the effectiveness of creative content based on the principles of Integrated Marketing Communication (IMC). Using a qualitative descriptive approach, data were collected through observation of the company’s TikTok content, documentation, and analysis of content performance indicators. The results show that the optimization process includes structured planning through content planning sheets, determination of content pillars, talent briefing, consistency in editing style, and template standardization. These efforts are supported by post-production activities such as scheduling, performance monitoring, and evaluation through TikTok Analytics. Furthermore, the optimization significantly enhances content effectiveness, as indicated by increased engagement, reach, and stable performance of educational content. The implementation of IMC particularly in terms of message consistency, visual uniformity, and brand identity integration strengthens brand awareness and improves the clarity of K3 educational messages delivered to audiences. Overall, optimized and IMC-based content production contributes to more effective digital communication and strengthens the company’s professional image on social media.