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This study aims to analyze the influence of tridharma perguruan tinggi on the performance of millennial lecturers. A quantitative approach was employed using a survey method involving 385 millennial lecturers from 30 universities under LLDIKTI Region III Jakarta, selected through cluster random sampling. Data were collected using a structured questionnaire that had undergone validity and reliability testing. Data analysis was conducted using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The outer model test results indicate that all indicators have loading factor values above 0.70 and AVE values greater than 0.5, confirming convergent validity. The reliability test using Composite Reliability yielded values above 0.962, and Cronbach's Alpha exceeded 0.951, indicating strong internal consistency. The results show that tridharma perguruan tinggi have significant effects on lecturer performance. This research provides implications for human resource development in higher education institutions, particularly in nurturing adaptive and productive young lecturers.

This study examines the factors influencing customer retention at Surya Fresh MSMEs in Depok City, West Java. The primary issue identified is the instability of customer retention, which is mainly attributed to intense market competition, the rapid pace of digital marketing, and the evolving customer expectations in the modern business environment. This study aims to analyze the impact of product quality, e-service quality, and reward programs on customer retention, with relationship commitment as a mediating variable. A quantitative approach with an explanatory research design was employed to test the relationships among variables. Primary data were collected through a Likert-scale questionnaire from 224 Surya Fresh customers using a simple random sampling technique. Data analysis was conducted using the PLS-SEM method in SmartPLS, including validity, reliability, and structural model assessments. The findings indicate that product quality, e-service quality, and reward programs significantly influence relationship commitment and customer retention. Moreover, relationship commitment was found to mediate the effects of these three factors on customer retention, highlighting its importance in enhancing customer loyalty. High e-service quality, superior product quality, and attractive reward programs foster strong emotional connections with customers, which are crucial for sustaining long-term customer loyalty. The study concludes that product quality, e-service quality, and reward programs have a positive and significant impact on relationship commitment and customer retention at Surya Fresh. Relationship commitment is confirmed as a key mediator. To further improve retention, Surya Fresh should focus on enhancing product availability, administrative responsiveness, and offering diverse promotional programs. Future studies may apply this model in different industries and integrate qualitative methods for deeper insights.

Through a systematic review and meta-analysis, this research investigates the relationship between spirituality and psychological resilience in the Afghan population. Of the 1,247 identified studies, 47 (N=12,468) met the inclusion criteria. The results of the random-effects model analysis confirm a strong positive correlation between spirituality and psychological resilience (r = 0.64, 95% CI [0.58, 0.70], p < .001). Furthermore, there is significant heterogeneity among studies (I² = 76.3%, Q = 182.45, p < .001). Additionally, moderator analysis reveals that the effect of spirituality on resilience is significantly stronger in Afghan groups experiencing war trauma (β = 0.72) compared to non-traumatized groups (β = 0.51). Meta-regression results indicate that daily spiritual practice accounts for 43.2% of the total variance in psychological resilience among the Afghan community. In comparison to the findings of Salsman et al. (2015) and Schwalm et al. (2022), which reported a moderate correlation between the two variables (r = 0.45-0.52), this study has reinforced the presence of a stronger effect of spirituality on resilience in the context of prolonged conflict, presenting a novel contribution. Lastly, the mediation analysis indicates that the sense of meaning in life mediates the spirituality-resilience relationship in Afghanistan by 67.8% (95% CI [61.2, 74.5]). This research expands upon the findings of Meichenbaum (2008) by identifying specific mechanisms that explain the protective role of spirituality in the context of collective trauma in Afghanistan. Thus, these findings can universally serve as an empirical foundation for developing spirituality-based interventions for trauma recovery in communities affected by prolonged conflict.

The purpose of this study was to analyze the significance of the influence of work motivation, workload and work discipline on the performance of inpatient room nurses at Karanganyar Regency Hospital. This research is a quantitative study at Karanganyar Regency Hospital with a population of 239 inpatient room nurses. The sample was 71 people with proportional cluster random sampling technique. Data collection techniques using questionnaires and observation. Data analysis techniques using multiple linear regression analysis, t test, F test, and coefficient of determination (R2) test. The t test results show that work motivation, workload, work discipline have a significant partial effect on the performance of inpatient room nurses at Karanganyar Regency Hospital. The results of the F test obtained the right model in predicting the effect of work motivation (X1), workload (X2) and work discipline (X3) on nurse performance (Y) in the hospital room of Karanganyar Regency Hospital.  Based on the results of the study, it is hoped that the Director will provide opportunities for nurses to participate in education and training and provide rewards proportional to workload, namely medical services according to the number of patients served.

This review analyzes 47 studies (N=12,487 refugees) published between 2010-2024 to compare the effectiveness of adaptive and maladaptive coping strategies in addressing trauma and stress among Middle Eastern refugees. The results of the analysis, utilizing a random effects model, affirm that adaptive coping strategies are positively correlated with psychological well-being (r = 0.62, p < 0.001) and social adjustment (r = 0.58, p < 0.001) of Middle Eastern refugees. Conversely, maladaptive strategies are associated with an increase in symptoms of depression (r = 0.45, p < 0.001) and anxiety (r = 0.52, p < 0.001). Furthermore, the moderator analysis reveals that social support enhances the positive effects of adaptive strategies (β = 0.34, p < 0.01). At the same time, trauma conditions exacerbate the negative impact of maladaptive strategies among refugees (β = 0.41, p < 0.001). Thus, these findings extend prior research by Alzoubi et al. (2019) and Paudyal et al. (2021), which focused solely on a single type of coping strategy, by providing insights into the complex interactions between various strategies and contextual factors affecting the coping mechanisms of Middle Eastern refugees as a novel contribution. Additionally, this research uniquely emphasizes, lacking in previous literature, that a combination of problem-focused and emotion-focused coping strategies can result in better adaptation outcomes for trauma-affected Middle Eastern refugees compared to the use of a singular strategy (d = 0.76, p < 0.001).

Low student collaboration skills are often found in learning activities at school. This will certainly impact the low level of student learning outcomes. This study aims to examine the effect of the Learning Cycle 7E model assisted by PhET Simulation on students' collaboration skills and physics learning outcomes. This research is a true experimental study using a posttest-only control group design. The population in this study was class X students of SMK Negeri 2 Jember, while the research sample was determined using the cluster random sampling technique. Data collection methods included observation, interviews, tests, and documentation. The data obtained were analyzed using a normality test, followed by statistical tests using the Independent Sample T-test for collaboration skills and the Mann Whitney U-Test for physics learning outcomes. The results showed that the analysis of collaboration skills data using the Independent Sample T-test obtained a Sig. (2-tailed) of 0.000 ≤ 0.05, indicating a significant difference between the experimental and control groups. Meanwhile, the analysis of physics learning outcomes using the Mann Whitney U-Test obtained a Sig. (2-tailed) of 0.000 ≤ 0.05, also indicating a significant difference. Therefore, it can be concluded that the application of the Learning Cycle 7E model assisted by PhET Simulation has a significant positive effect on improving students' collaboration skills and physics learning outcomes.

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

This study examines the influence of servant leadership and organizational citizenship behavior on the performance of the Inter-Village Cooperation Agency (BKAD) in East Java through a quantitative approach with a cross-sectional design. Using a sample of 100 BKAD selected by cluster proportional random sampling, the study collected data from multiple informants through structured questionnaires and semi-structured interviews, and analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The results showed that servant leadership had a significant positive effect on organizational performance (β = 0.366, p < 0.001), with organizational citizenship behavior partially mediating the relationship. Servant leadership was proven to have a positive effect on organizational citizenship behavior (β = 0.293, p = 0.021), which in turn had a positive effect on performance (β = 0.216, p = 0.001). The research findings affirm the importance of servant leadership and organizational citizenship behavior in enhancing the performance of empowerment institutions, which encourages the development of innovative empowerment methods, adaptive training curriculum design, and facilitation of public service-oriented leadership, with recommendations for further research using longitudinal designs and broader geographic coverage.

This research investigated how using Articulate Storyline 3 within a Self-Directed Learning (SDL) model affected vocational students' motivation and physics learning achievements. The study employed a true experimental design, specifically a Post-test Only Control Group Design and was carried out at SMK Negeri 2 Jember. Sample determination is done by conducting a homogeneity test, then randomly selected for the control class and the experimental class through a lottery. Data was collected using observation, interview, questionnaire, test and documentation methods. The data analysis technique used was normality test and T test with the help of IBM SPSS 25 software. Questionnaire results indicated that students in the experimental group, who used the Self-Directed Learning model with Articulate Storyline 3, showed higher average learning motivation compared to the control group.  The results of data analysis of student learning motivation with the Independent Sample T-test test obtained a significance value of 0.010 ≤ 0.05, which means H0 is rejected and Ha is accepted. The post-test results revealed that students in the experimental group, who learned physics using the Self-Directed Learning model with Articulate Storyline 3, achieved higher average scores than those in the control group. The results of data analysis of student physics learning outcomes tested with the Mann-Whitney U-test get a significance value of 0.004 ≤ 0.05 which means H0 is rejected and Ha is accepted. So it can be concluded that there is a significant effect of the application of the SDL model accompanied by Articulate Storyline 3 media on student motivation and physics learning outcomes.

Background: Teenagers' lack of knowledge about puberty will have a negative impact both physically and socially on teenagers. Teenagers will feel anxious and afraid when physical changes occur. Data shows that the rate of early marriage in West Kalimantan is 25%. Researchers are interested in conducting research on the effect of educational videos on increasing teenagers' knowledge about puberty. Research Methods: This research design is a pre-experiment with a one group design model. The sample amounted to 61 female students using simple random sampling technique. The research location was at SMP N 06 One Roof Sintang, Sintang Regency. This research instrument uses a knowledge questionnaire with 30 questions. Statistical tests using the wilcoxom. Research Results: The level of knowledge before being done students who have less knowledge 73.8%, students who have sufficient knowledge 24.6% and who have knowledge 1.6%. have good knowledge or 98.4% and 1 student has sufficient knowledge or 1.6%. With a p-value test result of 0.001 <0.05. The mean difference between pretest and posstest knowledge is 36.18, which means that there is an effect of educational videos on adolescents' knowledge about puberty at SMP N 06 One Roof Sintang. Conclusion: There is an influence of educational video media about puberty on adolescents in SMP N 06 One Roof Sintang, Sintang Regency.

This research was conducted with the aim of determining the impact of Electronic Word of Mouth on demand for food purchases using Go-Food with brand trust as an intervening variable. The sample in this study was 100 respondents obtained through a sampling technique using the simple random sampling method. The data collection method uses a questionnaire which is announced to respondents after which the data results are processed using SEM (Structural Equation Modeling) which is used in the SmartPLS V.4 analysis test. The results of this study show that the impact of electronic word of mouth has a positive effect on purchase intention, while brand trust has no effect on electronic word of mouth and interest in purchasing food using Go-Food among Uin Walisongo Semarang students.

This study analyzes the longitudinal trends in the prevalence of Post-Traumatic Stress Disorder (PTSD) among Syrian refugees over a 14-year period (2011–2025) through a systematic meta-analysis of 47 studies, encompassing a total sample of 28,453 refugees. Using a random-effects model, the analysis confirms fluctuating PTSD prevalence, peaking at 83.4% in 2013 (95% CI: 78.2–88.6%) before gradually declining to 42.7% in 2025 (95% CI: 37.3–48.1%). Furthermore, multilevel regression analysis identifies significant predictors, including displacement duration (β = -0.34, p < .001), access to mental health services (β = -0.28, p < .001), and social integration (β = -0.31, p < .001). These findings extend the work of Hassan et al. (2019) on the short-term impact of war trauma and support the resilience model proposed by Mahmoud et al. (2021), highlighting a more complex recovery trajectory. Unlike the previous meta-analysis by Silove et al. (2017), which focused on the first five years of displacement, this study reveals that 37.8% of refugees continue to exhibit chronic PTSD symptoms after 14 years. Notably, key risk factors such as family loss (OR = 2.84, 95% CI: 2.31–3.37) and legal status uncertainty (OR = 2.16, 95% CI: 1.78–2.54) emerge as novel contributions. These findings provide new insights into the long-term trajectory of PTSD among refugee populations and its implications for sustainable mental health interventions.

This research is motivated by the existence of a capital market that has experienced very good growth and development. The capital market has an important role in a country's economy so that the capital market has a significant impact on the country and the capital market has become a financial center. The purpose of this study is to test whether cash flow, accounting profit and systematic risk affect stock returns in food and beverage sub-sector companies. The data collection technique is a documentation technique. The research sample is a food and beverage sub-sector company listed in 2019-2023. The sampling technique uses purposive sampling, which is based on certain criteria so that 24 companies are obtained as research samples. The data used in this study are secondary data in the form of financial reports. Data analysis uses multiple regression analysis processed using the Econometric Views (EViews) program. The data analysis technique used in this study is panel data regression with a random effect model. The results of this research test indicate that cash flow, accounting profit and systematic risk simultaneously affect stock returns in food and beverage sub-sector companies. Partially, accounting profit has a significant effect on stock returns, while cash flow and systematic risk do not affect stock returns in food and beverage sub-sector companies.    

This study explores the application of machine learning algorithms, specifically Linear Regression and Decision Tree Regressor, for predicting student academic performance using academic grade data from Kaggle. The analyzed factors include attendance, assignment grades, midterm exam grades, and final exam grades. The research methodology encompasses data collection, preprocessing, model development, training, and validation. This study contributes to the field of educational data analytics by demonstrating how machine learning can provide actionable insights into students' learning patterns and academic outcomes. The findings emphasize the effectiveness of Linear Regression for linearly distributed data and Decision Tree Regressor for capturing complex, non-linear relationships. The implications of this research suggest that machine learning models can assist educators in identifying key factors influencing student performance, enabling targeted interventions to enhance learning outcomes. Future research should explore larger, more diverse datasets and incorporate ensemble methods, such as Random Forest or Gradient Boosting, to improve model generalization and prediction accuracy. Additionally, integrating socio-economic and psychological factors could provide a more holistic perspective on academic achievement.

This study aims to examine the influence of corporate risk, cost shifting, and company size on tax avoidance. The population in this study is manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2022. The sampling technique used purposive sampling and obtained 91 companies. This research is a quantitative study using secondary data from the Annual Reports of manufacturing companies. The model used in this research is panel data regression with the selected model being the Random Effect testing model. (RE). The research results show that Corporate Risk has a significantly negative impact on tax avoidance, Cost Shifting has a significant negative impact on tax avoidance, and Company Size has no impact on tax avoidance.

This study examines the effective role played by corporate governance in promoting e-marketing strategies, through an applied study conducted on Al-Rasheed Bank - Palestine Street Branch. In light of the rapid developments in the digital field, organizations are increasingly relying on e-marketing tools to improve their performance, making it necessary to apply governance principles to ensure the highest levels of efficiency, transparency, and credibility. The study aims to illustrate how governance can contribute to improving the performance of e-marketing in financial institutions, With a focus on Al-Rasheed Bank as an applied model. The study seeks to achieve several objectives, including analyzing the impact of governance mechanisms on e-marketing strategies, and knowing the extent to which the application of governance is related to achieving institutional goals and improving marketing efficiency. It also aims to study how governance contributes to building a transparent and secure relationship between the organization and its customers, which enhances loyalty and expands the customer base. In addition, the study highlights the challenges that organizations may face in applying governance to e-marketing and proposes solutions to address them. The study showed that there is a strong relationship between corporate governance and e-marketing, as governance helps in defining the goals and vision of the organization, which ensures that e-marketing strategies are compatible with the general directions of the organization. Enhancing transparency and accountability also contributes to building customers' trust in the organization, which increases their positive interaction with its marketing strategies. Moreover, governance helps ensure compliance with legal and ethical standards, which enhances the organization's reputation in the market and reduces the legal risks it may face. The study relied on the descriptive and analytical approach to analyze the relationship between governance and e-marketing, with a focus on data related to Al-Rasheed Bank - Palestine Street Branch. A simple random sample of 50 employees from different departments within the bank was selected. Statistical analysis was also used to measure the impact of governance on the efficiency of e-marketing within the organization. The results of the study showed that 84% of employees believe that corporate governance plays a key role in the success of digital marketing campaigns, reflecting a broad awareness of the importance of regulatory frameworks and corporate policies in guiding digital marketing operations. 73% of employees also confirmed that there are clear governance policies within the bank, which enhances confidence in the corporate system. With regard to customer trust, 79% of employees indicated that governance contributes to improving the level of trust in the electronic services provided by the bank, while 73% of them believe that governance positively affects the process of strategic decision-making in e-marketing. Also, 71% of employees reported that there is an effective system to monitor the performance of digital marketing campaigns, which helps to evaluate performance and improve strategies based on the results achieved. However, the study noted that there are some challenges facing the implementation of governance in the field of e-marketing. 33% of employees indicated that there is a lack of regular training programs on governance practices, which may negatively affect the effectiveness of their implementation. 38% of respondents also showed weakness in the mechanisms for evaluating the effectiveness of governance in improving e-marketing. In addition, 45% of employees indicated that there are gaps in communication between the governance department and the e-marketing department, which calls for improving channels Communication to ensure the integration of efforts between different departments. Based on these results, the study provided a set of recommendations aimed at improving the application of governance in e-marketing. Among these recommendations is the need to organize training workshops to familiarize employees with governance practices and their importance in improving marketing performance. The study also recommended the use of key performance indicators (KPIs) to conduct periodic evaluations and improve marketing strategies based on the results of these evaluations. In addition, the study stressed the importance of strengthening coordination between governance and e-marketing departments to ensure the integration of efforts and achieve Better results. It also recommended updating governance policies to keep pace with developments in the field of e-marketing, in order to contribute to supporting innovation and creativity in digital marketing strategies. In conclusion, the study confirmed that corporate governance plays a vital role in improving the efficiency of e-marketing, which contributes to enhancing customer confidence, achieving regulatory compliance, and increasing the effectiveness of marketing campaigns in financial institutions, especially in Rasheed Bank. She also stressed the importance of developing periodic training and evaluation strategies to ensure the optimal application of governance principles, in a way that enhances the performance of institutions in the changing digital environment.

Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to is in differentiating credit worthiness. Random Forest achieved an accuracy of 37.5% and an AUC of 0.493, while Naïve Bayes had the lowest accuracy with an accuracy of 27.5% and an AUC of 0.425. SVM gives better results than Naïve Bayes but is still inferior to Decision Tree. This research recommends implementing a Decision Tree as the main model with optimization through hyperparameter tuning, adding relevant features, and handling data accounting. These results are expected to support banking decision making more effectively and efficiently.

The research aims to study the effect of a combination of the trellis model and the direction of plant propagation on the growth and yield of long beans. The environmental design used a randomized block design with six treatments, repeated 5 times. The treatment are the trellis models (fence, triangle and para-para) and plant propagation directions (vertical and mixed). Growth variables include plant length, number of leaves, leaf area, and net assimilation rate. Yield variables include pod length, number of pods, pod weight, and yield per hectare. The results of the research showed that the treatment of different models of trellis and the direction of propagation of long bean plants in the mixed propagation direction resulted in higher plant length, leaf area, net assimilation rate, pod length per plant, pod weight per plant and yield per hectare compared to the vertical propagation direction with the model. the same trellis. The para-para trellis model treatment with mixed propagation directions produced a pod length and number of pods per plant of 60.76 cm and 57.59 pods per plant, 19.30% and 14.31% higher than the para-para trellis model with vertical propagation direction. 58.29 cm and 56.05 pods. The treatment of para-para trellis model with mixed creeping directions produced pod weight per plant and yield per hectare of 1.64 kg per plant and 7.3 ton.ha-1, which was 15.49% and 15.37% higher than the para-para trellis model with vertical propagation direction, which produces 1.42 kg per plant and 6.70 tons ha-1.

Integrating modern leadership approaches with local wisdom remains a challenge in enhancing the quality of education in Indonesian higher education institutions. This study examines the impact of integrating instructional leadership with ethnopedagogy based on the Dalihan Na Tolu philosophy on learning quality at Graha Nusantara University. Using a mixed-method approach with a sequential explanatory design, the study involved 50 lecturers selected through systematic random sampling and 100 students. Data were collected through validated questionnaires (validity coefficients ranging from 0.72 to 0.89; reliability with Cronbach's Alpha of 0.88), in-depth interviews, and participatory observations. The findings reveal that instructional leadership independently accounts for 67 percent of the variation in learning quality (coefficient of determination, R-squared = 0.670, with p < 0.001), with key determinants being guidance (correlation coefficient = 0.820) and vision-mission communication (correlation coefficient = 0.790). Ethnopedagogical leadership contributes significantly through the values of Somba Marhula-hula (regression coefficient = 0.45), Manat Mardongan Tubu (regression coefficient = 0.41), and Elek Marboru (regression coefficient = 0.38). The integration of these approaches produces significant synergistic effects (R-squared = 0.830), resulting in a 70 percent increase in active interaction, a 68 percent improvement in the effectiveness of learning strategies, and a 66 percent boost in productivity. This study contributes to developing an integrated leadership model that combines modern values with local wisdom. It also provides practical implications for designing training programs and implementing dual-approach monitoring systems in higher education institutions.

The Jingling Button Type Cooperative Learning Model is a learning model whose main objective is to achieve equal learning opportunities for each student so that students become more active in the learning process. This research aims to determine the effect of the rattling button type cooperative learning model on student learning outcomes in thermochemical material at SMA Negeri 2 Tenggarong Seberang. The research population was all students of class XI MIPA SMA Negeri 2 Tenggarong Seberang. Sampling used a cluster random sampling technique, so that the research samples were obtained, namely class XI MIPA 2 students and class XI MIPA 3 students. Student learning outcomes were obtained from posttest scores and daily tests. The data analysis techniques used are normality test, homogeneity test and t test. The results of the analysis of the data obtained show that the average learning outcome score for experimental class students is 82.65, which is higher than the average learning outcome score for control class students, which is 72.62. Based on the results of the data analysis that has been carried out, it can be concluded that the application of the rattling button type cooperative learning model has a better influence on student learning outcomes at SMA Negeri 2 Tenggarong Seberang on Thermochemistry material.