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Employee engagement is critical to organizational performance, employee well-being, and long-term sustainability. In hybrid work contexts, generational differences have become increasingly evident, particularly between Generation Y and Generation Z employees. Generation Y tends to emphasize work–life balance, career development, and meaningful collaboration, while Generation Z prioritizes flexibility, job security, digital integration, and the use of technology in the workplace. This study adopts a systematic literature review (SLR) approach by synthesizing findings from various peer-reviewed studies related to employee engagement and hybrid work practices across generations. The review focuses on identifying key factors that influence employee engagement in modern work environments. The results indicate that hybrid work can significantly enhance employee engagement when organizations provide flexibility, autonomy, adequate technological support, professional development opportunities, and fair reward systems. In addition, supportive organizational culture and effective leadership are important in maintaining employee motivation and commitment. However, differences in generational expectations require organizations to implement adaptive managerial strategies, including flexible work policies, personalized communication approaches, and inclusive leadership practices to strengthen employee engagement across different generations in hybrid work settings.

Management psychology is an important approach in managing educational organizations, as it emphasizes understanding individual behavior, motivation, and patterns of interaction within an institution. In practice, educational management requires not only managerial skills but also insight into psychological factors that influence teachers’ performance, the learning process, and overall organizational dynamics. Therefore, studying management psychology is relevant to examine how these concepts are applied in educational settings. This study aims to explore the development of research on management psychology in the field of education and to identify its role and contribution to improving the effectiveness of educational organizations. The research questions addressed in this study are: (1) how has management psychology been developed in educational research, and (2) how does it contribute to enhancing the effectiveness of organizational management in education? This research employs a qualitative literature review method. The literature search was conducted using the Google Scholar database with the assistance of the Publish or Perish application, using the keyword “management psychology.” From the initial 30 articles identified, a screening and selection process was carried out, resulting in 5 articles that were analyzed in depth. The findings reveal three main themes in the literature: classroom and learning management, leadership in educational organizations, and the development of work environment and human resource performance. These results indicate that management psychology plays a significant role in improving the effectiveness of educational institutions. Therefore, future research is recommended to examine the empirical application of management psychology across various educational organizational contexts in order to gain a more comprehensive understanding.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

This final project was an audiovisual feature video that explored the issue of uncertainty among informal sector workers, particularly porters at train stations. The work was motivated by the limited representation of porters, despite their important role in supporting transportation services. This report aimed to explain the application of the three-act structure in scriptwriting, consisting of Act I (Set Up), Act II (Confrontation), and Act III (Resolution). The production process included pre-production, production, and post-production stages, with scriptwriting as the main focus in constructing a structured narrative. In Act I, the work introduced the station environment and the porter profession to build audience understanding. Act II developed the conflict through the portrayal of job uncertainty, income instability, and the daily life of the main subject. Act III presented a reflective conclusion through multiple perspectives and symbolic visuals. The result showed that the three-act structure effectively created a systematic narrative flow and strengthened message delivery. In conclusion, the human-interest approach combined with observational visuals effectively conveyed social realities and fostered audience empathy toward informal workers.

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

The results of the study show that pricing strategy contributes dominantly to increasing sales, but the lack of digital promotion causes limited market reach. Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving national economic development and providing employment. However, in facing an increasingly competitive market, MSMEs need to implement efficient marketing strategies to ensure sustainability and sustainable growth. This community service activity aims to provide knowledge and assistance to Indonesian Es Teh MSMEs regarding the implementation of flexible marketing strategies, both through digital and traditional channels. The activity took place at the Es Teh Kampung Solo outlet in Kramatwatu Square. The methods used included counseling, training, and assessment of marketing strategy implementation, with a primary focus on optimizing social media as an interactive and competitive digital promotional tool. The results of this activity demonstrated a significant increase in MSMEs' understanding of strategic marketing planning, promotional innovation, and the use of digital platforms to expand market reach. Thus, it is hoped that digital-based marketing strategies can strengthen the competitiveness and sustainability of MSMEs. This activity is expected to contribute to increasing the competitiveness and sales volume of the Kampung Solo Es Teh MSME in a sustainable manner through the implementation of a modern marketing approach that is responsive to technological changes.

The development of Indonesia’s traditional cuisine faces significant hurdles as shifting consumer preferences increasingly favor modern food options. This trend necessitates innovative approaches to ensure local culinary heritage remains competitive. This study examines the role of sociopreneurship as an innovation strategy at Ingkung Djawa Waroeng Ndesso. Utilizing a descriptive qualitative design, the research gathered insights from the business owner and employees selected via purposive sampling. Data collection involved interviews, observations, and documentation, with validity ensured through source triangulation. The analysis followed the Miles and Huberman model, encompassing data reduction, presentation, and conclusion drawing. Findings reveal that implementing sociopreneurship effectively integrates economic and social objectives by preserving authentic recipes, empowering local communities, and generating employment. Key innovations include diversifying product offerings while maintaining authenticity and leveraging social media for strategic marketing. These results demonstrate that social entrepreneurship serves as a powerful mechanism for enhancing business competitiveness while safeguarding cultural sustainability. The study implies that traditional culinary development can be successfully managed through a sociopreneurial framework, allowing for modern innovation without compromising core cultural values. Consequently, this model offers a sustainable pathway for traditional businesses to thrive amidst the challenges of contemporary market globalization.

The purpose of this study was to determine the direct effect of personality characteristics and intellectual abilities on employee performance in the digital era and competence, the effect of competence on performance, and the indirect effect of personality variables and intellectual abilities on employee performance in the digital era through competence as an intervening variable in BPSDM Jambi Province. The type of research used is quantitative research with primary and secondary data. Sampling used a simple random sampling technique so that 65 employees were selected as respondents. Data collection used a questionnaire and data analysis used Smart PLS. The results of the analysis showed that personality characteristics directly affect performance and competence with a significance value of P <0.05, intellectual abilities do not affect performance and competence with a significance value of P>0.05, and competence does not affect the performance of BPSDM Jambi Province employees in the digital era with a significance value of P>0.05. Furthermore, the direct effect shows that employee competence does not mediate the influence of personality characteristics and intellectual abilities on employee performance. This shows that personality characteristics and intellectual abilities do not affect performance through employee competence as an intervening variable.

Laparotomy is a major surgical procedure associated with a high risk of acute postoperative pain. According to Gan (2017), if pain is not properly managed, it can progress to chronic pain. (Toro et al., 2018) reported that severe pain on the first postoperative day is still commonly found in laparotomy patients, while (Small & Laycock, 2020) indicated that moderate to severe pain within the first 24 hours following major surgery remains a significant clinical issue. This study aims to evaluate the effectiveness of pharmacological pain management following laparotomy under general anesthesia, specifically to identify the types of opioid analgesics used, analyze their effectiveness in reducing pain intensity, identify side effects, and examine administration techniques and routes. This study employed a Systematic Literature Review (SLR) method following the PRISMA guidelines. Literature searches were conducted in the PubMed, ScienceDirect, and SpringerLink databases covering the years 2015–2026. The included studies comprised randomized controlled trials (RCTs), cohort studies, and retrospective studies addressing opioid pharmacological pain management in adult patients following laparotomy under general anesthesia. Study quality assessment was performed using the Joanna Briggs Institute (JBI) instrument. A total of 11 studies met the inclusion criteria. The results of the systematic literature review indicate that opioids are effective in reducing postoperative pain following laparotomy under general anesthesia. The most commonly used opioids are morphine, fentanyl, and oxycodone. Of all the opioids reviewed, oxycodone provided the best pain control, while intrathecal morphine was most effective in reducing the need for supplemental opioids during the early postoperative period. Other opioids, such as extended-release dinalbuphine sebacate and tegileridine, are also effective, but the number of studies is still limited. The most common side effects are nausea, vomiting, pruritus, sedation, and dizziness. Pharmacological pain management using opioids is effective in reducing the intensity of postoperative pain following laparotomy under general anesthesia. Morphine, fentanyl, and oxycodone are the most commonly used opioids. Oxycodone and intrathecal morphine have shown good results in improving pain control and reducing the need for supplemental opioids. The selection of opioid type, dosage, and administration technique must be tailored to the patient’s clinical condition to achieve optimal analgesia with minimal side effects.

Background: Nallaswamy Class III alveolar ridge refers to an edentulous alveolar bone that has undergone resorption, resulting in a moderate ridge height with a knife-edge ridge form. This condition is relatively common and has been reported to reach a prevalence of approximately 89% in edentulous mandibles. Objective: To describe the prosthodontic treatment implications in patients with Nallaswamy Class III alveolar ridge using an acrylic resin removable partial denture (RPD). Case Report: A 22-year-old female patient presented to RSGM Soelastri with complaints of discomfort while chewing due to the loss of several posterior teeth in the mandible. The teeth had been extracted three years earlier due to caries and retained roots. Intraoral examination revealed healthy dentition in the maxillary arch and edentulous areas at teeth 35, 36, 45, and 46 in the mandibular arch. The alveolar ridge in the edentulous area showed a knife-edge form with moderate height, consistent with Nallaswamy Class III. Discussion: The condition was classified as Applegate-Kennedy Class III modification 1P with bilateral bounded saddle areas, which may affect mastication, aesthetics, and speech. Conclusion: Partial edentulism with a knife-edge alveolar ridge can be effectively managed using an acrylic resin removable partial denture.

The use of social media can have both positive and negative impacts on children. Proper use can enhance insight, knowledge, and increase learning motivation. However, excessive use can disrupt study time, reduce awareness of the importance of learning, and result in low learning motivation. To determine the relationship between the duration of social media use and the learning motivation of school-aged children at SDN Gisikdrono 03, Semarang City. This study uses a quantitative method with probability sampling technique, specifically stratified random sampling. The sample in this study consisted of 122 respondents. The instrument in the study used a questionnaire on the duration of social media use and learning motivation. Data analysis used the Spearman rank test. There is a relationship between the duration of social media use and the learning motivation of school-aged children at SDN Gisikdrono 03 Semarang City, with a p-value of 0.000 < 0.05, leading to the rejection of H0 and acceptance of Ha, with a correlation value of -0.636, which falls into the strong category with a negative duration, indicating an inverse relationship. This means that the longer the duration of social media use, the lower the learning motivation. Conclusion: There is a significant relationship between the duration of social media use and learning motivation, where the longer the duration of social media use, the lower the learning motivation.

Diarrhea remains a leading cause of mortality among toddlers in Indonesia, with a prevalence reaching 4,9%. In addition to pharmacological management through LINTAS DIARE, non-pharmacological therapies such as baby massage are increasingly being implemented as supportive interventions that families can perform to accelerate recovery. This study aims to examine the effectiveness of baby massage as a complementary therapy in reducing the frequency and intensity of diarrhea in toddlers. The method used involved identifying relevant articles from Google Scholar and Semantic Scholar databases using appropriate keywords. Based on the 6 articles obtained, baby massage significantly (p = 0,000) reduces the frequency and intensity of diarrhea through vagus nerve stimulation, which optimizes intestinal peristalsis and nutrient absorption. Beyond improving defecation patterns, this therapy is proven to significantly increase infant weight, accelerate motor development through central nervous system stimulation, and enhance sleep quality and comfort.

This study aims to know the decision-making strategies in individuals with pragmatic personality. The approach used was qualitative with a case study method. The subjects of the study consisted of three individuals who were selected using purposive sampling techniques based on pragmatic personality characteristics, i.e. oriented to results, efficiency, and practical considerations in decision making. Data were collected through semi-structured interviews and observations, then analyzed using thematic analysis. The results of the study showed that all three respondents had relatively similar decision-making patterns, namely starting with understanding the problem, followed by identification and evaluation of multiple alternatives, as well as considering the advantages and disadvantages of each option. In determining the final decision, pragmatic individuals tend to choose solutions that are realistic, simple, effective, and have the lowest risk yet provide the optimal benefit. Additionally, in the face of important decisions, respondents showed a cautious attitude by calming themselves, not rushing, as well as partially considering the opinions of others as additional evaluation material. Overall, the findings of this study suggest that pragmatic personality plays a role in forming logical, adaptive, and real outcome-oriented decision-making strategies in daily life.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

Divorce has become an increasingly common reality in Christian family life and poses serious challenges for the church in carrying out pastoral family ministry. Theologically, divorce stands in tension with Christian ethics, which views marriage as a sacred and covenantal institution established by God. This article aims to analyze Christian ethics regarding divorce from a biblical theological perspective and to examine its implications for family ministry within the context of Ketapang, West Kalimantan. This study employs a qualitative research method with a theological-normative and contextual approach through a literature review of biblical texts, theological books, and scholarly journals. The findings indicate that Scripture affirms marriage as God’s ideal will, while divorce is understood as a consequence of human sinfulness and relational brokenness. In the context of Ketapang, social, economic, and cultural factors contribute significantly to the vulnerability of families to divorce. Therefore, the church is called to develop a contextual family ministry that not only upholds Christian ethical norms but also embodies love, justice, forgiveness, and restoration for broken families. This article emphasizes that Christian ethics concerning divorce must be practiced pastorally and transformatively within the life of the local church.

 This research addresses the growing tendency of contemporary education to prioritize cognitive achievement while marginalizing character formation and spiritual development, resulting in an imbalanced educational paradigm that affects the holistic growth of learners in various educational contexts. In response, the research critically examines the concept and principles of Christian education as articulated by Ignatius Loyola, particularly in relation to contemporary educational challenges and the need for meaningful transformation in learning processes today. The study employs a qualitative approach using a literature review method, drawing on relevant academic sources such as books, peer-reviewed journal articles, and theological writings to support systematic and critical analysis. The findings indicate that Ignatian educational thought emphasizes holistic human formation through the integration of intellectual, moral, and spiritual dimensions, grounded in the principles of Ad Majorem Dei Gloriam, Cura Personalis, and Find God in All Things, which together foster reflective, value-oriented learning. The study contributes to contemporary educational discourse by offering an alternative framework that promotes holistic development, strengthens character formation, and addresses the limitations of cognitively oriented educational models in diverse educational practices.

The development of artificial intelligence (AI) has transformed organizational landscapes and driven fundamental changes in leadership practices and strategic management. This article aims to critically examine AI-based leadership by highlighting its opportunities, risks, and implications for strategic management. The study employs a qualitative literature-based approach using an integrative literature review strategy. The data consist of secondary scholarly literature relevant to AI, leadership, governance, innovation, and strategic management, which were analyzed through qualitative thematic analysis and conceptual content analysis. The findings show that AI-based leadership creates opportunities in the form of improved decision quality, faster strategic analysis, operational efficiency, stronger innovation, and enhanced organizational agility. However, AI integration also presents risks, including algorithmic bias, limited decision transparency, technological dependency, accountability challenges, and ethical concerns. This study confirms that AI does not fully replace human leaders; rather, it fosters a hybrid leadership model that requires technical, adaptive, transformational, and ethical capabilities. The study implies that the effectiveness of AI-based leadership depends on responsible governance, organizational cultural readiness, and balanced human–machine collaboration in supporting strategic management.

The advancement of digital technology has encouraged e-commerce platforms to adopt interactive features such as Virtual Try-On to enhance a more visual and personalized shopping experience. This feature allows consumers to virtually try products, thereby assisting in product evaluation prior to purchase decisions. This study aims to analyze the effect of experiential value on customer engagement behavior, with customer satisfaction as a mediating variable. The research employs a quantitative approach through a survey of 150 respondents in Indonesia who have used Virtual Try-On, using a purposive sampling technique. Data were collected through questionnaires and analyzed using Partial Least Squares (PLS). The results indicate that experiential value has a positive and significant effect on both customer satisfaction and customer engagement behavior. Furthermore, customer satisfaction also has a positive effect on customer engagement behavior and partially mediates the relationship between experiential value and customer engagement behavior. These findings suggest that valuable technology-driven experiences can enhance customer satisfaction and encourage more active consumer engagement. This study contributes theoretically to the literature on digital consumer behavior and offers practical implications for e-commerce platforms in optimizing Virtual Try-On features.

This study aims to analyze the influence of work environment and work motivation on the performance of outsourced employees at PT Kinarya Selaras Piranti. Phenomena in the field show the challenges of supervisory dualism and operational constraints, such as a difficult reimbursement system, which is suspected to affect productivity. The research method used was a quantitative approach with a saturated sampling technique (census) of 87 respondents. Data were collected through a digital questionnaire and analyzed using multiple linear regression through SPSS software. The results of the study showed that partially, the work environment had a positive and significant effect on employee performance (Sig. < 0.001). Similarly, work motivation has a positive and partially significant influence (Sig. < 0.001). Simultaneously, these two variables have a significant effect on performance with a determination coefficient value (R2) of 92.7%. This indicates that optimizing physical and non-physical conditions and meeting the psychological needs of employees are crucial factors in increasing work effectiveness in the outsourcing services sector.