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This study was motivated by the low ability of seventh grade students at SMP Dharma Karya UT to present descriptive texts orally, which is indicated by their lack of fluency, unclear pronunciation and intonation, and low self-confidence. This condition is aggravated by monotonous learning models that make students feel bored. One alternative to overcome this problem is the application of the Teaching at The Right Level (TaRL) learning model. This model focuses on the students’ actual ability levels so that the content and learning activities can be adjusted to their readiness to learn. This research used a quantitative method with a Randomized Demonstration Group Posttest Only Design and involved two groups: an experimental class and a control class. The sample consisted of 53 seventh grade students of SMP Dharma Karya UT. The research instrument was a test of oral descriptive text presentation skills. The results show a significant effect of applying the TaRL model on students’ ability to present descriptive texts orally. The experimental class receiving TaRL obtained an average posttest score of 47.8 out of 80, while the control class only scored 34.29 out of 80. The t-test showed tcount (2.45) > ttable (1.66) at a 5% significance level, so H0 was rejected and H1 was accepted. It can therefore be concluded that the application of the TaRL model is more effective than conventional teaching in improving students’ oral presentation skills of descriptive texts.

This study aimed to examine the relationships among mindset, anxiety, and the achievement of the Assessment of Regional Education Standardization (ASPD) results among ninth-grade students in public junior high schools in Yogyakarta City. Using a quantitative survey approach, the study involved 871 students selected through stratified random sampling based on the TPM stage 1 test scores from schools categorized into high, medium, and low strata for the 2022/2023 academic year. Data were collected using a questionnaire instrument, validated by two expert validators, and construct validity was confirmed through standardized loading factors, showing all items to be valid. Reliability was measured using Cronbach's Alpha, yielding 0.508 for mindset and 0.724 for anxiety. Data analysis employed Structural Equation Modelling (SEM) in R Studio, with model fit assessed through RMSEA, GFI, AGFI, and CFI criteria. Results revealed that the mindset measurement model demonstrated an excellent fit, and the anxiety measurement model also fit the data well after minor modifications. Structural model testing confirmed a good overall fit. Findings indicated that anxiety directly influenced ASPD achievement, with higher anxiety associated with lower results. Mindset did not have a direct effect on ASPD outcomes but negatively influenced anxiety, meaning a stronger growth mindset led to lower anxiety levels. Furthermore, mindset indirectly affected ASPD achievement through its impact on anxiety, demonstrating that fostering a growth mindset can enhance students’ performance by reducing anxiety.

This study aims to examine the influence of word of mouth on buying interest and its impact on the purchase decision of Muzan Net wi-fi services. This study uses three main variables, namely independent variables, bound variables, and intervening variables. The free variable is word of mouth, the bound variable is the purchase decision, while the intervening variable is the buying interest. The research sample consisted of 55 consumer respondents who knew and used the Muzan Net wi-fi service in Sanggrahan Village. Research data was obtained through questionnaires, observations, and interviews, with sampling techniques using the simple random sampling method. Data analysis is carried out through several stages, namely measurement or outer model, structural model or inner model, and hypothesis test. The results of the study show that word of mouth has a positive and significant effect on buying interest. Furthermore, word of mouth also has a positive but not insignificant effect directly on the purchase decision. Meanwhile, buying interest has been proven to have a positive and significant effect on purchase decisions. In addition, buying interest is able to mediate the relationship between word of mouth and purchase decisions, thereby strengthening the role of word of mouth in encouraging consumers to finally make a purchase decision. This research provides practical benefits for companies in maximizing word-of-mouth-based marketing strategies, as well as a reference for future research to develop similar studies with different objects, locations, and variables.

This study aimed to determine and analyze the influence of financial ratios on profit changes in telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The financial ratios used in this study encompass four main groups: liquidity ratios, solvency ratios, activity ratios, and profitability ratios. This study employed a quantitative approach with an associative nature because it attempted to examine the relationship and influence between these financial variables on profit changes. The population in this study comprised all telecommunications companies listed on the IDX, while the sample selection was conducted using a purposive sampling technique with specific criteria, resulting in 15 eligible companies. The research data were then analyzed using panel data regression using EViews 12 software, with the best model selected being the Random Effect Model (REM). The results showed that simultaneously, liquidity, solvency, activity, and profitability ratios significantly influenced profit changes, thus concluding that the company's overall financial performance plays a significant role in determining the dynamics of profit generated. However, partial test results showed that the influence of each ratio was different. The solvency ratio has a significant negative effect on profit changes, indicating that the higher a company's debt level, the greater the risk of profit decline. Conversely, the profitability ratio has a significant positive effect, confirming that a company's ability to generate net profit is a major factor in increasing profit changes. Meanwhile, the liquidity ratio and activity ratio were not shown to have a significant effect on profit changes, indicating that short-term liquidity and operational efficiency are not sufficient to be the primary determinants in driving profit changes in the telecommunications sector.  

This research aims to determine the influence of Content Marketing, Influencer Marketing, and Customer Engagement on the Purchase Decisions of The Face Shop products on the Shopee marketplace. The study adopts a quantitative method with a simple random sampling technique, involving 113 respondents who are consumers of The Face Shop. Data were collected through structured questionnaires and analyzed using SmartPLS 4 and Microsoft Excel 2019 to test the research model. The results indicate that, simultaneously, Content Marketing, Influencer Marketing, and Customer Engagement significantly affect Purchase Decisions, suggesting that the combined effect of these digital marketing strategies plays a crucial role in shaping consumer behavior on e-commerce platforms. However, partial testing shows a more nuanced result: Content Marketing and Customer Engagement have significant positive effects on Purchase Decisions, whereas Influencer Marketing does not show a significant influence. Among the variables tested, Customer Engagement emerges as the most dominant factor, highlighting the importance of fostering strong interactions and long-term relationships between the brand and its customers. The research model is able to explain 59.9% of the variation in Purchase Decisions, with the remaining percentage likely influenced by other external factors such as brand image, price perception, or marketplace features. These findings provide practical implications for marketers, emphasizing the need to prioritize customer engagement strategies and high-quality content marketing in order to drive purchase decisions in highly competitive online marketplaces.

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

This study aims to compare the results of student living cost estimates over a four-year study period using two approaches in financial mathematics, namely the discrete model and the continuous model. The background of the study is based on the need for students to manage their personal finances effectively amidst rising living costs due to inflation. The discrete model is used to predict expenses at certain time intervals, while the continuous model assumes that changes in the value of money occur continuously at all times. This study uses a quantitative descriptive-comparative method with controlled simulations on 100 student data with variations in monthly living costs between Rp2,000,000–Rp4,000,000 and a random inflation rate of 0%–20%. The data were analyzed using discrete and continuous growth formulas, then a Paired Sample t-Test was performed to determine significant differences between the two models. The results show that both models produce very similar living cost estimates with an average difference of only about 1–3% of the total four-year costs. The continuous model produces slightly higher results than the discrete model due to its exponential and continuous nature of calculations. However, the statistical test results showed a p-value > 0.05, indicating no statistically significant difference between the two. Practically, both approaches can be used equally in student financial planning, with the discrete model being more appropriate for short-term projections and the continuous model being more appropriate for long-term projections.

This study investigates the influence of an online attendance system and digital literacy on teacher discipline and performance in elementary schools. A quantitative explanatory research approach was employed to provide empirical evidence regarding these relationships. The research population consisted of 170 elementary school teachers in Bojong District, Pekalongan Regency, who were selected using proportional stratified random sampling to ensure representativeness. Data were collected through a structured questionnaire using a 5-point Likert scale, and analyzed with Structural Equation Modeling (SEM) through the Partial Least Squares (PLS-SEM) approach using SmartPLS 4.0 software. The measurement model evaluation demonstrated strong reliability and validity across all constructs. Cronbach’s Alpha values ranged between 0.820 and 0.872, Composite Reliability between 0.881 and 0.911, and Average Variance Extracted (AVE) between 0.649 and 0.718. Discriminant validity was confirmed based on both the Fornell-Larcker Criterion and the Heterotrait-Monotrait Ratio (HTMT). The structural model showed good predictive relevance with a Goodness-of-Fit (GoF) value of 0.366, indicating a large effect. Hypothesis testing results supported all proposed relationships. Digital literacy was found to positively influence teacher performance, while the online attendance system significantly affected both teacher discipline and teacher performance. Furthermore, teacher discipline was proven to have a positive effect on teacher performance. Mediation testing revealed that teacher discipline acted as a significant partial mediator in the relationships between digital literacy, online attendance systems, and teacher performance. The findings provide empirical validation for the Task-Technology Fit Theory and the TPACK Framework in the context of educational human resource management. This study confirms that digital transformation, through strengthening digital literacy and online systems, represents an effective strategy to improve teacher professionalism and enhance academic quality in elementary schools.  

This study aims to examine the effect of work environment, work discipline, and work motivation on the performance of vocational school teachers in the Office Management and Business Services program in the Special Region of Yogyakarta, Indonesia. A quantitative, explanatory research design was employed to analyze the causal relationships among variables. The research involved 100 vocational teachers selected through simple random sampling from both public and private schools. Data were collected using a validated questionnaire and analyzed using multiple regression analysis.The results indicate that all three independent variables have a significant positive impact on teacher performance. Work motivation contributed the most, with a standardized coefficient of 0.351, followed by work discipline (0.366), and work environment (0.327). Collectively, these variables explained 67.8% of the variance in teacher performance. These findings suggest that teacher effectiveness is strongly shaped by both individual psychological factors and institutional conditions. Future studies should explore additional mediating variables such as leadership style, digital readiness, or organizational commitment, and consider conducting longitudinal research across different vocational disciplines to enhance generalizability.

Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

International trade plays a vital role in strengthening Indonesia’s economic growth, particularly through the export of fishery products which are among the country’s leading commodities. Fresh fish exports are highly influenced by external demand factors in destination countries as well as Indonesia’s own production capacity. This study aims to analyze the determinants affecting Indonesia’s fresh fish exports to its main trading partners, namely China, Japan, Hong Kong, Singapore, and Malaysia, over the period 2012–2023. The research utilizes secondary data sourced from the World Bank and the Central Statistics Agency (BPS). Several independent variables are considered, including the fish production levels in the importing country, the real gross domestic product (GDP) per capita of the importing country, and the total population of the importing country. Panel data analysis was employed to capture the variations across time and countries, with the Random Effect Model (REM) chosen based on the results of the model specification tests. The findings of the analysis indicate that fish production in the importing country exerts a negative and statistically significant effect on Indonesia’s fresh fish exports, suggesting that higher domestic fish production in these countries reduces the need for imports. Conversely, the real GDP per capita of the importing country and its population size were found to have positive and significant impacts on Indonesia’s export volumes. These results highlight that wealthier and more populous nations demonstrate stronger demand for imported fresh fish, including from Indonesia. The implications of this study underscore the importance for Indonesia to continuously improve the quality, safety, and competitiveness of its fresh fish products while also adopting effective marketing and trade strategies targeting countries with high purchasing power and large consumer bases.

This study aims to analyze the influence of hard skills and soft skills on job readiness through self-efficacy as a mediating variable in students at the Faculty of Economics and Business, Yogyakarta State University. The background of the study is rooted in the increasing demands of the job market, which emphasize not only technical competence but also interpersonal skills and individual confidence in their own capabilities. As the world of work becomes increasingly competitive, the ability to balance technical skills with psychological readiness becomes a crucial factor. This study employed a quantitative approach with descriptive analysis and path analysis. A total of 229 respondents were selected using a two-stage random sampling method to ensure adequate representation. The data were analyzed using SmartPLS to test the validity, reliability, and fit of the structural model. The results revealed that hard skills had a significant but negative effect on job readiness, while soft skills showed a positive but statistically insignificant effect. Both hard and soft skills were shown to have a positive and significant effect on self-efficacy, with self-efficacy having a significant effect on job readiness. Further findings indicate that self-efficacy mediates the relationship between hard skills and job readiness, but not the relationship between soft skills and job readiness. Overall, this research emphasizes the importance of integrating hard skills, soft skills, and self-efficacy in building student job readiness. The implication is that universities need to design curricula and student development programs that not only strengthen technical competencies but also foster interpersonal skills and self-confidence so that graduates can compete in a dynamic job market.

Corruption is an extraordinary crime that damages the foundation of the state. In the context of Government Procurement of Goods/Services (PBJP), corrupt behavior still occurs even though it has been regulated through Presidential Regulation Number 12 of 2021 as an amendment to Presidential Regulation Number 16 of 2018. The implementation of the PBJP policy is considered to be not able to effectively suppress the potential for corruption, so other variables are needed that affect the effectiveness of the policy. This study aims to analyze the direct and indirect influence of the leadership style and quality of human resources (HR) of the state civil apparatus on the potential for corruption through the implementation of PBJP policies. The research method used is quantitative with the Partial Least Squares - Structural Equation Modelling (PLS-SEM) approach, which aims to test the relationship between latent variables and confirm the influence of leadership style and quality of human resources on potential corruption through the effectiveness of PBJP implementation. The research population includes elements of PBJP policy implementation within the Corruption Eradication Commission (KPK), including PPK, procurement officials, UKPBJ working groups, and goods/service providers. The sample was determined by purposive random sampling, consisting of internal and external implementers of PBJP at the KPK with a budget value of more than IDR 1 billion in the 2024 fiscal year. The results of the study show that leadership style has a positive effect on the implementation of PBJP and directly reduces the potential for corruption. The quality of ASN human resources has a positive effect on the implementation of PBJP, but it has a double effect on the potential for corruption. The mediation test showed that the implementation of PBJP mediated part of the influence of leadership style and human resource quality on potential corruption, with the direction of influence changing from positive to negative. These findings confirm the importance of the effectiveness of the implementation of PBJP policies in suppressing the potential for corruption within the KPK.

This study aims to describe the effect of using the collaborative learning model on students’ learning motivation in the subject of Aqidah Akhlak in grade 9 at MTs Al-Hikmah Johar Karawang. The collaborative learning model emphasizes cooperation among students in solving problems, sharing knowledge, and helping each other to achieve learning goals. This approach is believed to enhance students’ motivation, active participation, and overall learning outcomes. This study uses a quantitative method with a simple random sampling technique, and data collection through pretests and posttests. The findings indicate that the implementation of collaborative learning had a positive and significant impact on improving students’ motivation in the Aqidah Akhlak subject. Based on these results, it can be concluded that the collaborative learning model is suitable for use in Islamic Religious Education to support the increase of both student motivation and learning achievement.

Economic growth in Bali Province is predominantly driven by the tourism, service, and agricultural sectors, which play a vital role in the region’s development and income generation. Over the 2014–2024 period, however, the province has experienced a fluctuating and generally declining growth trend, influenced by both internal and external economic dynamics. This study aims to examine the influence of unemployment, district minimum wage (Upah Minimum Kabupaten/Kota—UMK), and education on economic growth across the nine regencies and cities in Bali Province. Employing a quantitative approach with an associative research design, the study utilizes panel data that combines cross-section data (9 regencies/cities) and time-series data spanning 2014–2024, yielding a total of 99 observations. To ensure robust estimation, panel data regression analysis was conducted, with the Random Effect Model (REM) selected as the most appropriate method based on the results of the Hausman test. The empirical findings reveal that, simultaneously, unemployment, UMK, and education have a significant influence on regional economic growth in Bali. Partially, education exerts a positive and significant effect, indicating that improvements in educational attainment and quality can drive higher productivity and foster sustainable economic development. Conversely, UMK demonstrates a negative and significant impact, suggesting that increases in the minimum wage, while beneficial for workers’ welfare, may impose financial burdens on businesses—particularly small and medium-sized enterprises—thus potentially slowing economic activity. Similarly, unemployment has a negative and significant effect, underscoring its detrimental role in limiting economic output and household income. These results emphasize the need for policymakers to strike a balance between enhancing workforce welfare through wage regulations and ensuring that such measures do not hinder economic competitiveness. Furthermore, strengthening education policies, improving access to quality learning, and aligning educational outcomes with labor market demands are crucial for supporting long-term economic growth in Bali.

This study aims to analyze the influence of work-life balance and workload on turnover intention, with work stress as a mediating variable in employees of PT Semarang Garment. The phenomenon of high turnover in the garment industry is the background of this study, which is triggered by large production targets, high work pressure, and imbalance between work and personal life. These conditions have the potential to reduce employee welfare and increase the desire to leave the company. This study uses a quantitative method with Structural Equation Modeling (SEM) analysis techniques using AMOS version 24. The research sample of 360 respondents was selected through a simple random sampling technique, and data was collected using a structured online questionnaire. The results of the analysis show that: (1) Work-life balance does not have a significant effect on turnover intention, but has a significant negative effect on work stress, which means the better the work-life balance, the lower the level of work stress; (2) Workload has a significant positive effect on work stress, but does not have a significant effect on turnover intention; (3) Work stress has a significant positive effect on turnover intention, which indicates that the higher the work stress, the greater the employee's desire to leave. Furthermore, it was found that job stress mediates the relationship between work-life balance and turnover intention, so improving work-life balance can indirectly reduce turnover intention through reduced job stress. Theoretically, this study adds to the human resource management literature on factors influencing turnover intention. Practically, the results recommend that company management create a healthy work environment, manage workloads proportionally, and design policies that support work-life balance to reduce turnover intention.

The purpose of this study is to examine the influence of self-efficacy on students’ interest in continuing their studies to higher education, with achievement motivation as a mediating variable. The research employs a quantitative approach using the survey method. The population in this study consisted of 211 students from SMKN 44 Jakarta. The sampling technique used was proportionate stratified random sampling, calculated using the Slovin formula with a 5% margin of error, resulting in a total sample of 138 students. The data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with the assistance of SmartPLS 4.0 software. The analysis process included the evaluation of the measurement model (outer model), the structural model (inner model), and hypothesis testing for direct and indirect effects. The results of the study demonstrate that: (1) self-efficacy has a positive and significant effect on achievement motivation; (2) self-efficacy has a positive and significant effect on students’ interest in continuing their studies to higher education; (3) achievement motivation also has a positive and significant effect on students’ interest in pursuing higher education; and (4) self-efficacy has a significant indirect effect on interest in continuing studies to higher education through achievement motivation as a mediating variable. These findings indicate that both self-efficacy and achievement motivation play important roles in shaping students' educational aspirations beyond secondary school. This study emphasizes the need for educational institutions to strengthen students’ belief in their own abilities and foster achievement motivation to increase their intention to pursue higher education. The findings contribute to the understanding of psychological factors that influence educational planning and can be used as a reference in developing academic guidance programs in vocational high schools.

This study aims to analyze the influence of positive reinforcement and social anxiety on student learning activity in the Department of Office Management and Business Services (MPLB) at SMK Negeri in the South Jakarta area. The background of this research is based on the importance of creating a conducive learning environment through providing positive reinforcement and the importance of understanding the impact of social anxiety on student participation in the learning process. The method used in this study is a survey method with a quantitative approach. The study population consisted of 360 students spread across three schools. The sampling technique used was proportionate stratified random sampling with an error rate of 5%, so that a sample of 190 students was obtained. Data analysis was carried out using the Structural Equation Modeling (SEM) method based on Partial Least Square (PLS) through the SmartPLS 4.0 application. The analysis consists of three main stages, namely measurement model analysis (outer model), structural model analysis (inner model), and hypothesis testing. The results of the study show that positive reinforcement has a positive and significant effect on student learning activity. This means that the higher the application of positive reinforcement, the more active students are in participating in learning activities. On the other hand, social anxiety has a negative and significant influence on student learning activity. This shows that the higher the level of social anxiety experienced by students, the more active they will be in the learning process. These findings affirm the importance of the role of teachers in implementing learning strategies that encourage active student participation and pay attention to students' psychological aspects such as social anxiety in the teaching and learning process.

This study aims to develop a model of passing practice that can improve volleyball game skills in elementary school students. This study uses a quantitative approach with an experimental method. The instrument used was a test of upper and lower passing skills within 60 seconds. Data analysis techniques include normality tests, homogeneity tests, and hypothesis tests. The sample in this study consisted of grade V students in one of the randomly selected elementary schools. The passing training model applied is a pair exercise with a distance of 10 meters, carried out routinely for three weeks with a frequency of three times a week. Each session lasts 40 minutes and is carried out under the supervision of a physical education teacher. The focus of the exercise is directed at improving the basic techniques of upper and lower passing which are gradually and pleasantly developed to suit the developmental characteristics of elementary school students. The results showed that the consistent application of the paired passing exercise model was able to improve the accuracy, coordination, and strength of students' arm muscles. In addition, it was found that there was an increase in student motivation and active participation in volleyball learning activities. This exercise model also creates a more interactive learning atmosphere and encourages students to work together, resulting in collaborative and meaningful learning. These findings prove that the use of a training model that is systematic, fun, and in accordance with the characteristics of learners can significantly improve the basic skills of the game of volleyball. This exercise has proven to be effective and can be used as an alternative learning method in physical education in elementary school. It is recommended that physical education teachers consider integrating this exercise model into the learning program so that student learning outcomes in volleyball can be more optimal and sustainable.

Employee performance is a critical determinant of service quality and operational success in hospitals. High-performing employees contribute directly to patient satisfaction, service efficiency, and overall institutional reputation. This study investigates the influence of intrinsic and extrinsic motivation on the performance of employees at Petrokimia Gresik Hospital, aiming to provide empirical evidence to guide strategic human resource management in healthcare settings. A quantitative research design was employed, with data collected using structured questionnaires. The respondents consisted of 85 permanent employees selected through simple random sampling, ensuring that the sample fairly represented the hospital's workforce. The questionnaire was designed to measure aspects of both intrinsic motivation (such as self-fulfillment, recognition, and meaningful work) and extrinsic motivation (such as salary, benefits, and job security), along with indicators of employee performance. Data were analyzed using multiple linear regression analysis to examine the individual and joint effects of the motivational variables on performance. The results revealed that both intrinsic motivation (β = 0.532, p < 0.05) and extrinsic motivation (β = 0.487, p < 0.05) had a statistically significant and positive impact on employee performance. The model showed that the combination of these two factors accounted for 68.2% of the variation in employee performance (R² = 0.682), indicating a strong explanatory power. These findings underscore the importance of a balanced motivational strategy in hospital management. Relying solely on financial incentives is insufficient; efforts must also be made to cultivate a positive and fulfilling work environment. Therefore, hospital administrators are encouraged to design integrated motivation programs that address both intrinsic and extrinsic factors to enhance employee engagement, productivity, and ultimately, the quality of healthcare services provided.