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This study aims to analyze the influence of liquidity, leverage, profitability, and company size on the share prices of companies that are members of the Investor33 index on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. This study uses a quantitative approach with purposive sampling techniques, so that 17 companies out of a total of 46 companies that meet the criteria are obtained. The data used is secondary data in the form of annual financial statements obtained from the IDX's official website. The analysis method used was multiple linear regression with the help of the Statistical Program for Social Science (SPSS) software version 25. The results of the analysis show that the leverage and profitability variables have a significant effect on the stock price, which indicates that the company's capital structure and ability to generate profits are important factors in the investor's assessment. In contrast, the liquidity variables and company size do not show a significant influence on the stock price, which means that the company's ability to meet short-term obligations and operational scale are not the main determinants in the formation of the stock price on the index. These findings provide implications for investors and company management to pay more attention to profitability and leverage aspects in financial strategies and investment decision-making. This research can also be a reference for further studies related to the analysis of financial ratios and capital market dynamics in Indonesia.

This study investigates the effectiveness of teacher training policy implementation in Dili Regency, Timor-Leste, utilizing the CIPP (Context, Input, Process, Product) evaluation model. A structured survey was administered to 150 teachers and education stakeholders to assess key determinants influencing implementation outcomes. Quantitative analysis employed Pearson correlation, multiple regression, and path analysis to examine relationships among variables. Findings revealed strong correlations between all independent variables and implementation effectiveness (r > 0.60, p < 0.01). The multiple regression model accounted for 76.3% of the variance in implementation effectiveness (R² = 0.763, F = 123.45, p < 0.001), with Policy Standards exerting the greatest influence (β = 0.243), followed by Resources (β = 0.203) and Implementer Disposition (β = 0.201). Path analysis confirmed the significance of all direct causal pathways, reinforcing the robustness of the model. These results underscore the critical role of clear policy standards, adequate resource allocation, and implementer commitment in enhancing the success of teacher training programs. The study contributes empirical evidence to the discourse on education reform in developing and post-conflict regions, highlighting strategic priorities for policy makers and practitioners. By aligning training initiatives with contextual realities and stakeholder capacities, the findings offer actionable insights for improving teacher professional development in Timor-Leste and similar settings.

This study aims to explain and examine the influence of Word of Mouth, location, and price on purchase decisions of consumers at Toko Kopi Epidemi Jombang. A quantitative method with a causal research approach was applied. Data were collected through questionnaires distributed to 80 respondents. The analysis techniques included validity test, reliability test, normality test, linearity test, multicollinearity test, heteroscedasticity test, multiple linear regression, t-test (partial), F-test (simultaneous), and the coefficient of determination (R²), using SPSS version 26. The results showed that partially, tabel had a significant effect on purchase decisions with a significance value of 0.000 < 0.05 and a t-value of 4.483 > t-table 1.995. The location variable did not have a significant effect on purchase decisions, with a significance value of 0.640 > 0.05 and a t-value of 0.470 < t-table 1.995. Meanwhile, price had a significant effect on purchase decisions with a significance value of 0.000 < 0.05 and a t-value of 2.181 > t-table 1.995. Simultaneously, Word Of Mouth, location, and price had a significant effect on purchase decisions with a significance value of 0.000 < 0.05 and an F-value of 27.623 > F-table 2.70. The coefficient of determination (R²) indicated that the three variables collectively explained 52.2% of the variance in purchase decisions, while the remaining 47.8% was influenced by other factors not examined in this study.

This study is motivated by the downstream Teh Walini industry’s reliance on third-party logistics (3PL) services for product distribution, which restricts the company’s control over several key aspects, including logistics costs, delivery speed, routing efficiency, and product handling quality. The primary objective of this research is to analyze and compare distribution costs between outsourced logistics and self-managed delivery, and to evaluate the potential cost efficiency of an independently operated shipping system. A descriptive comparative quantitative method is employed, incorporating movement generation analysis, distribution spread mapping, and Vehicle Operating Cost (VOC) calculations to estimate the cost implications of self-shipping. Data were obtained through company documentation and analyzed using multiple linear regression involving six major distribution points. The results reveal that shipment volume significantly influences movement generation, with Waingapu, Makassar, and Padang identified as the dominant distribution destinations. The cost comparison analysis demonstrates that self-managed delivery is more cost-effective than third-party logistics services, making it a more viable long-term option. These findings suggest that transitioning to a self-delivery system could improve cost control and logistical efficiency for the company. However, this strategy should be implemented gradually, supported by regular updates on operational cost data and proactive management of external factors that could impact distribution performance. The study concludes by recommending broader coverage and the inclusion of additional relevant variables in future research to further validate and enhance decision-making related to distribution strategies. A well-informed shift toward internal logistics could ultimately contribute to greater competitiveness and sustainability in the company’s distribution operations

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.

The rapid development of the pharmaceutical industry in Indonesia presents both an opportunity and a challenge in increasing company value amidst the dynamics of an increasingly digital and competitive capital market. This phenomenon demonstrates that strong operational performance does not always translate into high market value, making it crucial to identify internal factors that influence company value, particularly in the pharmaceutical subsector, which plays a strategic role in Indonesia.This research aims to analyze the effect of Working Capital Turnover, Cash Turnover, Liquidity, and Profit Growth on Company Value in pharmaceutical companies listed on the Indonesia Stock Exchange for the 2021-2024 period. The research method used was quantitative with an explanatory approach. The sampling technique used total sampling, with a sample size of 10 companies. Secondary data, in the form of financial statements, were analyzed using multiple linear regression analysis.The results indicate that only Cash Turnover significantly impacts company value, with a negative effect, while Working Capital Turnover, Liquidity, and Profit Growth do not. These findings suggest that efficient working capital management and consistent profit growth play a crucial role in increasing the value of pharmaceutical companies. This research is expected to be a reference for management in strategic decision making and for academics for further research.  

Before entering marriage, a person will generally choose a partner who meets their criteria. Choosing a partner is not something to be done carelessly, as this decision has a significant impact on the journey of the household and the harmony of the relationship in the future. Factors influencing partner selection can be very diverse, ranging from personal values, social environment, to the influence of developments in the times and mass media. One popular cultural phenomenon that also influences is K-Pop. For some people, a deep interest in K-Pop idols or artists can form certain standards or criteria in choosing a life partner. This study aims to determine the influence of idol worship on partner selection preferences among early adult female K-Popers in West Sumatra. The study subjects were 120 people selected using a snowball sampling technique. The study used a quantitative method, with instruments in the form of an idol worship scale and a partner selection preference scale compiled by researchers based on the dimensions of idol worship by Cheung and Yue (2018) and aspects of partner selection preferences by Townsend and Roberts (1993). The results of a simple linear regression analysis indicate that, in general, idol worship has no significant effect on partner choice preferences (sig = 0.405 > 0.05). However, when examined by dimension, attachment (sig = 0.002 < 0.05) and idealization (sig = 0.001 < 0.05) significantly influence partner choice preferences. This finding indicates that emotional aspects and idealization of idols can shape the criteria or ideal image of a desired partner, although idol worship does not have a direct effect overall.

This study aims to determine the contribution of work-family balance to work engagement in employees in long-distance marriages (LDM). The phenomenon of LDM is becoming increasingly common in the modern workplace, especially for couples who must live apart due to work demands in different locations. This condition can pose challenges in maintaining a balance between work and family life demands, which in turn can affect individual engagement in their work. Therefore, this study is important to understand the extent to which work-family balance plays a role in increasing the morale and work engagement of employees in LDM. This study involved 41 employees in LDM, with ages ranging from 24 to 50 years. The data collection method used two measuring instruments: the Utrecht Work Engagement Scale (UWES) developed by Schaufeli and Bakker (2004), and the work-family balance scale developed by Carlson et al. (2009). Data analysis was conducted using simple regression analysis techniques to determine the contribution of the independent variables to the dependent variable. The results showed that work-family balance contributed 65% to work engagement in employees in LDM. These findings indicate that the higher the level of work-family balance, the higher the employee's engagement in their work. Therefore, it is important for organizations to create policies and work environments that support work-family balance, especially for employees in long-distance marriages.

The research was carried out against the background that low learning motivation can be caused by various factors, including the teacher's lack of ability to manage the learning process. In this way, this research aims to find out whether there is a relationship between teachers' classroom management abilities and students' learning motivation at MAS Plus Al-Ulum. The research methodology uses a correlational approach. with a population of 140 students. If the number of subjects is large, between 10-15% or 20-25% or more can be taken. Sample = 28% The data collection technique in this research uses a research instrument, namely a scale. The scale validity data processing tool is implemented using content validity. The results of this research show that the coefficient between the variables classroom management ability (X) and student learning motivation (Y) at MAS Plus Al-Ulum is 0.39. Through the t test carried out, the calculated t value was 2.636, while the t table value was 2.02. This indicates that there is a positive and significant relationship between the variable class management ability (X) and student learning motivation (Y). This relationship is linear and can be predicted using the regression line Ŷ = 67.18 + 0.29.

This study aims to examine the impact of the implementation of the Merdeka Curriculum on improving the competence and performance of Christian Religious Education teachers based on Mark 1:21–28 in South Tangerang City. The Merdeka Curriculum, launched in 2022, was designed as a solution for student-centered and differentiated learning. The research focuses on analyzing teachers’ lack of understanding in preparing differentiated learning, the suboptimal imple-mentation of project-based learning, and the relationship between the implementation of the Merdeka Curriculum and the improvement of teachers’ competence and performance. The study was conducted within the Ministry of Religious Affairs, South Tangerang City, Banten Province, with a population of 61 Christian Religious Education teachers. Data were collected through questionnaires and analyzed using Microsoft Excel 2010 and SPSS 25 for Windows with a quantita-tive approach, regression analysis, and linearity testing. The results show that the implementation of the Merdeka Curric-ulum has a positive impact on teacher competence (87.2%) and performance (86.3%). These findings align with Jesus’ teaching principles in Mark 1:21–28, namely authoritative teaching that produces tangible impact, serving as a theological foundation for improving teaching quality. In conclusion, the better the implementation of the Merdeka Curriculum, the higher the competence and performance of Christian Religious Education teachers in South Tangerang City.

This study was conducted to determine the effect of online customer reviews and brand image on consumer purchasing decisions of Somethinc products. This study is a quantitative research using a non-probability sampling method with an accidental sampling/incidental sampling technique. In this study, primary data in the form of questionnaires through Google Forms was used. The number of samples used in this study was 96 respondents who were people domiciled in Bekasi City. The analysis technique used in this study uses multiple linear regression analysis with the help of SPSS 26 software. Based on the results of the data processing carried out, the results of this study showed that the Online Customer Review variable has a positive and significant effect on Purchasing Decisions, the Brand Image variable has a positive and significant effect on Purchasing Decisions. The Online Customer Review and Brand Image variables simultaneously have a significant influence on the Purchasing Decision variable.        

This study aims to look at the effect of price, product quality, and promotion on consumer purchasing decisions. The population in this study were all consumers who made purchases at PT Anugrah Packaging Indo Kemasan. Sampling using a non-probability sampling approach and obtained 125 respondents. The data analysis technique uses the Multiple Linear Regression Analysis method. The results showed that, partially (t test) price has a positive and significant effect on purchasing decisions. Product quality has a positive and significant effect on purchasing decisions and promotions also have a positive and significant effect on purchasing decisions. Simultaneous test results (F test) show that price, product quality, and promotion have a positive and significant effect on purchasing decisions.                                                                                                                           

This study aims to analyze the effectiveness of zakat in reducing income inequality in Indonesia. The data used is secondary data from the National Amil Zakat Agency (BAZNAS) and the Central Statistics Agency (BPS) for the 2015–2024 period. The research method used multiple linear regression with the Ordinary Least Squares (OLS) approach. The results showed that the distribution of zakat had a significant positive effect on the Gini Index (β = 0.0013511; p = 0.002), while the Gross Domestic Product (GDP) per capita had a significant negative effect (β = –0.0000198; p = 0.000). An Adjusted R² value of 0.91 indicates that the model has a very strong ability to explain variations in income inequality. These findings show that although the collection and distribution of zakat has increased from year to year, its impact on reducing inequality has not been optimal. This can be caused by the limited amount of zakat funds collected compared to the real needs of the community and the distribution that is not fully on target. On the other hand, economic growth reflected in the increase in GDP per capita has proven to be still the dominant factor in reducing income inequality in Indonesia. The implications of this study emphasize the importance of optimizing zakat management so that it not only functions as a philanthropic instrument, but also as a sustainable economic instrument. BAZNAS and related institutions are expected to be able to strengthen the zakat distribution system through productive economic empowerment programs, so that zakat can make a real contribution in reducing inequality and supporting more inclusive development in Indonesia.

This research motivation is the researchers' observations regarding turnover intention at the Yuan Garden Hotel, Pasar Baru. Job insecurity and job stress are factors that influence turnover intention at the Yuan Garden Pasar Baru Hotel. The research purpose is to reveal and describe the job insecurity impact and job stress on turnover intention at the Yuan Garden Pasar Baru hotel. This type of research is quantitative descriptive with a sampling technique using purposive sampling and a sample size of 60 respondents based on a saturated sampling formula. The technique for data collection in this research uses a questionnaire with a Likert scale which has been tested for validity and reliability. The collection for is analyzed using multiple linear regression analysis with the support by SPSS (Statistics Product and Service Solution) calculation tool version 27.00. Based on the analysis results, conclusions shown on the t-test results, for the variable job insecurity (X1) with a level of significant is 0.001 < 0 .05, meaning there is a significant influence of job insecurity on turnover intention. Meanwhile, the t-test results for the job stress variable (X2) have a level of significance is 0.393 < 0.05, meaning that job stress has no significant effect on turnover intention. Based on the f-test with a level of significance is 0.000 < 0.05, this means that simultaneously job insecurity (X1) and job stress (X2) have a significant effect on turnover intention. The job insecurity (X1) and job stress (X2) variables influence the turnover intention (Y) variable by 37.6% while the remaining 62.4% is influenced by other variables.  

This research aims to determine the influence of the work environment and motivation on employee work discipline at Hotel Balairung Jakarta. The method used in the research is a quantitative method with a causal associative approach. The respondents in the research population were all employees of Hotel Balairung Jakarta with a sample size of 62 respondents. Data collection is carried out by filling out questionnaires or questionnaires which have been prepared using a Likert scale. To test the hypothesis, multiple linear regression analysis was used. The research results show that work environment variables do not have a significant effect on work discipline, while motivation variables have a significant effect on work discipline. But together the work environment and motivation variables have a significant effect on work discipline.

In this study, a quantitative research approach was used, with two variables: motivation as the independent variable and work productivity as the dependent variable. The survey method was employed, with a sample of 26 employees from the Wajo Intellectual Mandiri Job Training Institute. The data analysis techniques used included quantitative descriptive analysis, correlation analysis, and simple regression analysis. Data collection was carried out through observation, questionnaires, and documentation. The findings indicate that both the motivation and work productivity variables are rated highly, based on the respondents' answers from the questionnaire distribution. The results demonstrate a positive relationship between motivation and employee work productivity at the Wajo Intellectual Mandiri Job Training Institute in Wajo Regency. This study highlights the importance of motivation in enhancing work productivity and provides valuable insights for improving organizational performance by fostering motivation among employees. The findings can be used as a basis for developing strategies to optimize employee productivity in similar organizational settings. 

This study aims to determine the relationship between the number of incoming letters and outgoing letters in the form of Assignment Letters (SPT) and Official Travel Orders (SPPD). The research employs a quantitative approach using simple linear regression analysis, with data collected through direct observation and official document records. The findings indicate a positive relationship between incoming and outgoing letters; however, the relationship is not statistically significant (p-value = 0.068). The coefficient of determination (R²) is 0.358, meaning that 35.8% of the variation in outgoing letters is influenced by incoming letters, while the rest is affected by other factors. These results underscore the need for stronger administrative management systems to improve bureaucratic efficiency and accountability.

This research is motivated by problems arising from organizational performance caused by transformational leadership, internal control systems, and innovation. This study aims to determine the factors that influence organizational performance. The approach in this study uses quantitative. Data were obtained from employees of the Kertosono Community Health Center. The sampling technique used saturated sampling. The population in this study was all 62 employees of the Kertosono Community Health Center. The sample in this study was 62 employees who work at the Kertosono Community Health Center. The research method used was multiple linear regression analysis. The results of the partial test study indicate that the variables of transformational leadership, internal control systems, and innovation partially have a significant effect on organizational performance. Based on the results of the simultaneous test, it is known that the variables of transformational leadership, internal control systems, and innovation simultaneously have a significant effect on organizational performance. The results of this study are expected to be used as a reference for the Kertosono Community Health Center to always improve its transformational leadership style, strengthen its internal control system, and develop a culture of innovation that can affect organizational performance.

The Village-Owned Enterprises (BUMDes) play a strategic role in enhancing the village economy by utilizing the potential within the village. One of the main challenges faced by BUMDes is the issue of capital, which affects the ability of businesses to grow and achieve their shared goals. This study aims to analyze the effect of emotional bias on investment decisions with reward-based investment balance as a mediating variable. This study used a sample of 108 BUMDes scattered across six regions in Central Java. The sampling method employed was a combination of purposive sampling and cluster sampling, where the selected BUMDes represent specific regions and involve investors from the community or community groups. Data were collected from BUMDes in six regions (administrative areas) in Central Java. The analysis tools used in this study include simple regression, multiple regression, and the Sobel test for mediation, supported by normality tests, classical deviation tests, and coefficient of determination. The results showed that emotional bias significantly affected the investment decisions of the community (t = 3.034; sig = 0.000) and also influenced the reward-based investment balance (t = 4.256; sig = 0.000). Additionally, the reward-based investment balance variable was proven to have a direct impact on investment decisions (t = 3.190; sig = 0.000). This study also found that the reward-based investment balance variable partially mediates the effect of emotional bias on investment decisions, meaning that this effect can still be mediated by other variables. The Sobel test indicated a significant result (t = 3.104; sig = 0.000), showing that the effect of emotional bias on investment decisions can be mediated through reward-based investment balance.

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.