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Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. The Random Forest model achieved the best performance, with 83% accuracy, 83% precision, 100% recall, and a 90% F1-score, followed closely by Logistic Regression with 82% accuracy. Nevertheless, the results demonstrate the feasibility of applying machine learning to support the early detection of mental health risks, offering a strong foundation for future research in predictive analytics and the development of intelligent support systems within digital work environments.

In the ever-evolving business world, employee performance is an important factor in determining the success of a company, including motorcycle dealers. In addition to functioning as dealers, motorcycle dealers also act as customer service centers that have a major impact on customer satisfaction. Training and development are important methods in almost every company because they can improve performance. This study aims to examine the effect of training and development on employee performance at the Antar Putra Cimareme Dealer. The method used is quantitative with multiple linear regression analysis on a sample of 35 people. The results of the study showed that in the partial test (t-test), the t-count value for training (2.374)> t table (1.692) and significance (0.024) <0.05, which means that training has a positive and significant effect on employee performance. For career development, the t-count value (2.483)> t table (1.692) and significance (0.018) <0.05, which indicates a positive and significant effect on employee performance. Overall, training and career development have proven to have a positive and significant effect on employee performance.

This study aims to analyze the factors that influence the income of coffee shop businesses in Kintamani District, Bangli Regency, by integrating both traditional and digital factors. Specifically, the research examines the effects of capital, operating hours, selling price, number of customers, and the use of e-money on coffee shop income. Using a quantitative approach, the study applies multiple regression analysis to investigate the relationships between these variables. The findings reveal that both traditional factors such as business capital and operating hours, as well as modern factors like e-money usage, have a significant impact on the income of coffee shop businesses in Kintamani. This research not only fills a gap in the existing literature but also offers practical insights for business actors in the coffee shop industry, particularly in high-tourism areas like Kintamani.  

This study aims to analyze the impact of online learning on students' learning independence at the secondary school level. The research is motivated by the significant shift in the education system due to the pandemic, which required students to adapt to technology-based distance learning. A descriptive qualitative approach was employed, utilizing data collection techniques such as observation, interviews, and documentation, supported by quantitative questionnaires from previous studies. The findings indicate that online learning has both positive and negative effects on students' learning independence. Positive impacts include increased student responsibility in completing assignments, ease of accessing learning materials anytime and anywhere, and enhanced parental involvement in supporting their children's learning at home. However, negative effects were also identified, such as students' tendency to engage excessively in gaming, reduced effectiveness of the learning process, and delays in task submission due to workload accumulation. Regression analysis results show a significant influence between online learning and learning independence, although the effect is moderate to low in some cases. Factors such as learning motivation, self-efficacy, and the support of the online learning environment play crucial roles in shaping student independence. The study recommends collaboration among government, schools, teachers, parents, and the wider community to improve the quality and quantity of online learning facilities, as well as more varied learning strategies to optimally support the development of students' learning independence.

With the times, cash transactions that used to use cash are now turning to credit cards. However, the increasing use of credit cards presents challenges, especially in maintaining customer loyalty. Customer churn is the loss of customers within a certain period for various reasons. Logistic Regression is a machine learning algorithm that studies the relationship between a dependent variable and several independent variables and Extreme Gradient Boosting (XGBoost) is a Gradient tree-boosting algorithm that offers out-of-core learning and sparsity awareness.The purpose of this study is to compare the performance between Logistic Regression and Extreme Gradient Boosting (XGBoost) algorithms in predicting customer churn in credit card services using evaluation metrics such as accuracy, precision, recall, and F1-score. Based on the research results, it can be concluded that XGBoost has better performance in all evaluation metrics, both in terms of precision, recall, F1-score, and accuracy. Based on the research, XGBoost shows superior performance compared to Logistic Regression in all evaluation metrics.

This research aims to analyze the influence of social assistance program utilization on the poverty level in Pelita Hijau Village, Bonepantai Sub-District, Bone Bolango Regency. This research utilizes a quantitative approach with a descriptive method. The sample consists of all 57 recipients of social assistance in the form of BLT (Bantuan Langsung Tunai or Direct Cash Assistance) and BPNT (Bantuan Pangan Non-tunai or Non-Cash Food Assistance) in Pelita Hijau Village. The data collection techniques used in this research include initial observations, questionnaires, and documentation. The data analysis technique applied is simple linear regression. The findings indicate a positive and significant influence of social assistance on the poverty level, with the determination coefficient value from the regression model obtained at 0.300. The findings also showthat the correlation coefficient (R) suggests a moderately strong influence. The determination coefficient (R Square) represents the percentage of the influence of variable X (social assistance) on variable Y (poverty level). In contrast, the remaining70% in influencedby other variables not examined in this research.

The use of audiovisual media is one of the successes of learning, including student learning motivation. This study aims to determine the positive and significant effect of the Use of Audiovisual Media on the Learning Motivation of Class VIII Students of SMP Negeri 2 Balige in the 2024/2025 Academic Year. Quantitative method, the Research Population was all class VIII students of SMP Negeri 2 Balige totaling 216 people and the sample was taken 15% of the total population of 216 people so that the sample of this study was 32 people. Using regression analysis techniques. Proven through the following data analysis: 1) Influence test: Regression equation test Ŷ = 0.292 + 33.506X. b) The significant influence test obtained the value of tcount> ttable = 1.8019> 2.024, then Ha is accepted Ho is rejected. Based on the results of the study, it is known that the use of audiovisual media on student learning motivation can increase. This can be seen from the average value of 3. Thus, the researcher concluded that there is learning motivation for Christian Religious Education students in the 2024/2025 Academic Year.

This study is interested in uncovering the extent to which parental roles, such as emotional support, involvement in learning activities, and provision of learning facilities, can influence students' intrinsic and extrinsic motivation, as well as creating a conducive learning environment at home. By taking MAN 2 Mojokerto as the object of research, it is hoped that the results of this study can provide a clearer picture of the dynamics of interaction between family and school in shaping student character and achievement.The formulation of the problem obtained by the author is how the influence of the role of parents on student learning motivation at MAN 2 Mojokerto, and how the influence of the role of parents on the student learning environment at MAN 2 Mojokerto. From the formulation of the problem, the author's goal is to determine the effect of the role of parents on the motivation and learning environment of students.The results showed: significantly there is a positive and significant relationship between the role of parents on student motivation and learning environment, and significantly there is an influence between the role of parents on student motivation and learning environment. This is evidenced by the results of simple regression analysis based on the simple regression test results showing a value of 0.001. Based on the decision-making guidelines if the significance value is <0.05, it means that variable X has an effect on variable Y. The conclusion is 0.001> 0.05, which means that variable X has a significant effect on variable Y. Based on the hypothesis, H1 is accepted and H0 is rejected.    

This study aims to examine the impact of social status, family economic conditions, and student motivation on the learning achievement of fifth-grade students at SD Negeri 26 Matekko, located in the Kecamatan Gantarang of Kabupaten Bulukumba. The research employed a quantitative Ex Post Facto design, collecting data from 45 students using questionnaires, observations, and literature studies. The analysis involved multiple regression to explore the relationships between the variables. The findings indicate that all three factors—social status, family economic conditions, and student motivation—positively and significantly affect learning achievement. Notably, social status emerged as the most influential factor. These results suggest the need for targeted interventions addressing socio-economic disparities and enhancing student motivation. Future research should consider a broader range of variables and a longitudinal approach.

The goal of this research is to examine the impact of organizational culture and servant leadership on employee loyalty at PT Hiend Digital Media. This research employs a descriptive quantitative method with saturated sampling as the technique for selecting the sample. The research location is at PT Hiend Digital Media, and the respondents consist of 45 employees who have worked there. The analysis methods used in this study include SPSS 22 for validity, reliability, and classical assumption tests. Multiple linear regression, t-test, f-test, and determination coefficient were employed to test the hypotheses. Based on the results, it can be concluded that organizational culture has a significant positive influence on employee loyalty. However, servant leadership does not significantly influence employee loyalty at PT Hiend Digital Media. The f-test results show that employee loyalty is simultaneously influenced by organizational culture and servant leadership.

In this the objective of research this research is to determine the Influence of Product, Promotion and Price on Customer Satisfaction on PT. Fast Food Indonesia TBK Products. (KFC) Central Balikpapan. Type study Which used is quantitative research. The number of samples in this study was 310 customers who ate various kinds of fast food products at KFC Central Balikpapan for 1 month. The sampling technique used in this study was probability sampling. Analysis data Which used is a regression linear multiple. The test tools used are instrument tests, classical assumption tests, and hypothesis tests. The results which is obtained illustrates that in the variable Product, Promotion, And Price own direction connection Which positive and has a significant influence on Customer Satisfaction and Products have a dominant influence on Customer Satisfaction, whereas

Bali Province has a high population density, which has the potential to affect the distribution of infectious diseases such as diarrhea. However, mapping the distribution of diarrhea cases based on population density is still limited and does not meet good cartographic principles. Therefore, this study aims to present data on the distribution of diarrhea cases based on population density in Bali Province during the 2020-2022 period. This study used an analytic observational method with a cross-sectional design. The data used were secondary data from the Bali Province Health Profile and the Central Statistics Agency (BPS) for 2020-2022. Data analysis was carried out using geographic mapping with Geographic Information Systems (GIS) and statistical tests in the form of multiple linear regression and Spearman correlation. The results showed an increase in the strength of the relationship between population density and the number of diarrhea cases, as indicated by the rho value which increased from 0.1833 in 2020 to 0.6000 in 2022. However, this relationship was not statistically significant (p-value > 0.05), indicating that population density is not the only factor contributing to the increase in diarrhea cases. Other factors such as sanitation, access to clean water, and public awareness in maintaining hygiene also play a role in the spread of this disease. Although there is a trend that an increase in population density in Bali goes hand in hand with an increase in diarrhea cases, this relationship is not statistically strong enough. Therefore, a multidisciplinary approach is needed to address diarrhea cases, including improved sanitation facilities, public health education, as well as strengthening the spatial data-based disease monitoring system.

This research was conducted at Payung Auto Solution. The purpose of this study was to determine and analyze the influence of brand image and price on customer loyalty of paying auto solution. The population numbered 138 customers while the sample in this study were: which amounted to 102 customers. The sampling technique used is simple random sampling. Data collection techniques are by distributing questionnaires, interviews and documentation studies. Data analysis uses multiple linear regression analysis. The conclusion in the study that Brand Image has a positive and significant effect on customer loyalty of Payung Auto Solution Medan car spare parts. Price has a positive and significant effect on customer loyalty of Payung Auto Solution Medan car spare parts. Brand Image and Price have a positive and significant effect on customer loyalty of Payung Auto Solution Medan car spare parts. Adjusted R Square is: equal to 0.266 means Brand Image and Price can explain Customer Loyalty of 26.6% and the remaining 73.4% is influenced by other variables outside of this research such as: promotion, service, product innovation and so on.

This study was motivated by the existence of online tutoring users ruangguru at SMA Negeri 5 Bukittinggi and aims to determine how much influence online tutoring (Ruangguru) has on the learning outcomes of students at SMA Negeri 5 Bukittinggi. This study uses a quantitative research method with a simple regression approach. The sampling technique uses purposive sampling where the sampling is based on certain considerations, the sample of this study was students in grades 1, 2, and 3 at SMA N 5 Bukittinggi totaling 65 people. Data were obtained through a questionnaire using a Likert scale that had been tested for validity. Data validity techniques use validity and reliability tests. Statistical testers with assumption test analysis (normality and linearity), linear regression analysis, hypothesis testing (F test and R2 test). Based on the analysis and data from the research results processed using the SPSS 22.0 computer program, it shows that partially it can be seen that the Variable X Ruangguru Online Learning Guidance on student learning outcomes has a constant of 19.993 and a coefficient value of 0.323 has a significance of 0.200> 0.05. It can be concluded that there is an influence of Ruangguru Online Learning Guidance on Student Learning Outcomes. Based on the Simultaneous test, the influence of Ruangguru Online Learning Guidance on Learning Outcomes is that f count 75.083> f table 2.90 and has a significant figure of 0.000 <0.05. This means that there is a Positive influence between Ruangguru Online Learning Guidance on Student Learning Outcomes at SMA N 5 Bukittinggi. With a determination coefficient value obtained of 0.544, this means that there is an influence of 29.59%, while the rest is influenced by other variables that are not studied.

This study aims to determine the effect of ijarah financing income on total income at BMT An-Nur Muhammadiyah Cimanggu for the 2021-2024 period. This research is a field research using a descriptive-analytical method, meaning that it describes and analyzes data in the field to draw precise and accurate conclusions. The approach used is a quantitative approach. In this study the data used is secondary data in the form of financial reports per semester provided by BMT. The data collection methods are interviews, observation and documentation. The variable in this study is the independent variable in the form of ijarah financing income. While the dependent variable is the total income of BMT. The analytical tool used in this research is simple linear regression. In testing the hypothesis using the coefficient of determination, f test and t test. The results showed that the coefficient of determination (R square) or the determining coefficient was 0.999. Simultaneously, it shows that ijarah income has a significant effect on total income with a significance level of 0.000. Partially, it shows that ijarah income has a significant effect on total income with a significance level of 0.000.

This study aims to analyze the effect of work discipline and work motivation on employee performance in the project section of the Lift Escalator Service division of PT. Jaya Kencana, Central Jakarta, both partially and simultaneously. This study uses a quantitative method, with data collection techniques through primary and secondary data. Data analysis includes validity, reliability, normality, multicollinearity, heteroscedasticity, autocorrelation, simple and multiple linear regression tests, as well as t-tests and F-tests. The results of the study indicate that partially, work discipline has a positive and significant effect on employee performance, with a regression equation of Y = 23.998 + 0.409 X1, where the t-count value is 9.019> t-table 1.65263 and a significance value of 0.000 <0.05. Work motivation also has a positive and significant effect on employee performance, with the regression equation Y = 19.944 + 0.437 X2, where the t-count value is 8.450> t-table 1.6526 and a significance value of 0.000 <0.05. Simultaneously, work discipline and work motivation have a positive and significant effect on employee performance, with the regression equation Y = 17.200 + 0.292 X₁ + 0.289 X₂, where the F-count value is 61.283> F-table 3.04 and a significance value of 0.000 <0.05. The correlation coefficient value of 0.620 and the determination coefficient of 38.5% indicate that work discipline and work motivation together explain the variation in employee performance by 38.5%.

This study examines the effect of ESG disclosure on firm value and the moderating role of competitive advantage in energy sector companies listed on the Indonesia Stock Exchange during 2020–2023. Using a quantitative approach with purposive sampling and multiple linear regression analysis, the results show that ESG disclosure has a positive and significant effect on firm value. However, when competitive advantage is introduced as a moderating variable, the direct effect of ESG becomes insignificant, while the interaction between ESG disclosure and competitive advantage shows a positive and significant impact on firm value. These findings imply that ESG practices alone may not be sufficient to enhance firm value unless accompanied by a strong competitive position. The study highlights the importance of integrating ESG strategies with the company’s core competencies to maximize value creation, particularly in highly competitive industries like energy.

Writing this thesis aims to determine the effect of work discipline and work experience on employee performance at the Sibolga Sambas government office. The problem encountered in this study is that there are still employees who are not disciplined and lack experience in their work.The formulation of the problem in this research is Is There Any Influence Of Work Discipline And Work Experience On Employee Performance At The Sibolga Sambas Government Office? While the purpose of this study was to find out whether there is an influence of work discipline and work experience on employee performance at the Sibolga Sambas Government Office? The proposed hypothesis is that there is an effect of work discipline and work experience on employee performance at the Sibolga Sambas government office. The population in this study were PNS and THL employees at the Sibolga Sambas District Government Office totaling 70 people. The data collection technique is done by distributing questionnaires. The data analysis technique used is quantitative analysis.The results of the study show that the relationship between work discipline and work experience on employee performance is a strong category, where the calculation of the normality of the data is 1.65. While the coefficient of determination obtained 26.3%. T-test > t table 3,810 > 2,02108 at a significance level of 0.0000 < 0.05. The equation of the simple linear regression model is Y = 36,112 + -0,512.It can be concluded that, Ha is accepted. For this reason, it is recommended that companies pay attention to the application of work discipline and work experience in order to improve employee performance. However, this application is not the only strategy that must be done, because there are many other strategies to improve employee performance which are not the author's study.

This study investigates the profound impact of the protracted humanitarian crisis in the conflict zone of Syam on the mental health of healthcare professionals, employing a systematic meta-analytical approach across 47 independent studies (N = 12,487) published between 2011 and 2023. The findings reveal an alarmingly high prevalence of burnout, reaching 78.3% (95% CI [75.2–81.4]), with emotional exhaustion recorded as the most dominant dimension (M = 3.89; SD = 0.76). Additionally, secondary trauma was identified in 65.7% of all respondents (95% CI [62.4–69.0]), with the primary symptoms manifesting as post-traumatic stress disorder (PTSD) at 44.2% and depression at 39.8%. Meta-regression analysis demonstrated that the duration of exposure to conflict (β = 0.42; p < 0.001) and the intensity of workload (β = 0.38; p < 0.001) served as significant predictors of burnout. Meanwhile, the lack of psychosocial support (OR = 2.34; 95% CI [1.89–2.79]) and critical resource scarcity (OR = 1.98; 95% CI [1.65–2.31]) were strongly correlated with the emergence of secondary trauma among healthcare professionals. Furthermore, diverging from the more individualistic frameworks employed in the studies of Bdaiwi et al. (2020) and Bou-Karroum et al. (2020), this research explores the intricate entanglement of organizational and situational determinants that concurrently shape the mental health landscape of medical personnel operating in the Syam conflict zone. Moreover, the study's original contribution lies in identifying resilience adaptation patterns observed in 34.2% of participants, revealing that endurance capacity was cultivated through collective coping strategies and close peer support. According to the researchers, this study offers a new lens for designing community-based psychological interventions that are both sustainable and contextually grounded for healthcare providers affected by the protracted armed conflict in Syam.

After Law Number 28 of 2009 pertaining to Regional Taxes and Regional Retributions was passed, the local administration is now able to collect local taxes in accordance with the plan. Finding out how taxpayer information and The purpose of this study is to determine how tax fines affect Pondok Melati District's adherence to land and construction tax payments. A review of the literature is utilized as evidence. This study employs quantitative methodologies, mostly through data collection via questionnaires. Multiple linear regression analysis is used to evaluate the data in this study. The study's findings indicate that while both elements have favorable and substantial effects at the same time, unpaid knowledge and tax sanctions have a partial and relatively high impact in Pondok Melati District for land and construction tax compliance.