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Employee performance is a crucial aspect that plays a crucial role in maintaining the sustainability, productivity, and competitiveness of a company, including in the micro, small, and medium enterprises (MSMEs) sector. Optimal performance levels not only impact the achievement of company targets but also influence customer satisfaction and business churn. One factor believed to be able to improve employee performance is the provision of rewards and motivation. Rewards can be financial or non-financial, which serve as a form of company appreciation for employee contributions. Meanwhile, motivation functions as an internal driver that raises work enthusiasm to achieve the best results. This study aims to analyze the effect of rewards and motivation on employee performance at the Nasi Kulit Syuurga MSME. The study used a quantitative descriptive approach with a saturated sampling technique, where the entire population of 32 employees were used as respondents. The research instrument was a structured questionnaire, and the data obtained were analyzed using multiple linear regression methods using SPSS version 25 software. The results showed that rewards have a significant influence on employee performance. This indicates that appropriate recognition can improve work quality and productivity. However, motivation partially did not have a significant effect on employee performance, which is likely caused by other factors such as working conditions, organizational culture, or suboptimal job satisfaction. Nevertheless, rewards and motivation have been shown to simultaneously contribute to improved employee performance. This finding underscores the importance of designing an effective reward system, coupled with more targeted motivation strategies, to enable MSMEs to retain high-performing employees and increase their competitiveness.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.

been resolved in Indonesia. This research aims to determine the influence of Port Services, Loading and Unloading Performance, Loading and Unloading Equipment and Natural Factors on Idle Time at the Koja Container Terminal, Tanjung Priok Port, Jakarta. The population in this study were operational employees and ship crew from the deck department division. The sample used in this research was 80 respondents. And using a disproportionate stratified random sampling technique, then the data was analyzed using multiple linear regression with the help of (software) Statistical Package For Social Science (SPSS) Version 25. Based on the research results and data analysis, the regression equation was produced: Y= -1.176+ 0.334X1+ 0.181X2 + 0.318X3 + 0.302X4+ . From the equation it is known that the dominant variable influencing Idle Time is the Port Services variable with a regression coefficient of 0.334. The R2 (R square) test obtained a result of (67%), which means that Idle Time at the Koja Container Terminal, Tanjung Priok Port, Jakarta, is influenced by the variables Port Service, Loading and Unloading Performance, Loading and Unloading Equipment and Natural Factors, namely 67%. The conclusion  is  that the independent  variables  (port  services,  loading  and unloading performance, loading and unloading equipment, and natural factors) have a negative and significant effect on the dependent variable Idle Time. This is because the results of the multiple linear regression equation show that t count > t table.

This study aims to find out and analyze the influence of Profitability, Leverage, Liquidity, Activity, Profit Management on Audit report lag.  In this study, it was carried out on companies in the Concumer Cyclicals Sector listed on the Indonesia Stock Exchange for the year 2019-2023. The sample determination method in this study uses the purposive sampling method and was obtained from 69 companies in the consumer cyclicals sector. The data analysis technique used in this study is multiple linear regression using SPSS version 22 software. Based on the results of the study, it can be concluded that profitability has a negative effect, leverage has a negative and significant effect, liquidity has a negative effect, activity has a positive effect, and profit management has no effect on audit report lag.

This study aims to analyze the effect of government spending, unemployment, and inflation on the number of poor people in North Sumatra Province during the period 2001-2023. The data used is secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia. The analysis method used is multiple linear regression with EViews 13 software. The classical assumption tests used include normality, multicollinearity, heteroscedasticity, and autocorrelation tests. The results show that government spending has a negative and significant effect on poverty, while unemployment and inflation have no significant effect. Simultaneously, the three variables have a significant influence on the number of poor people in North Sumatra. It is recommended that the government increase the effectiveness of spending on strategic sectors for poverty alleviation and maintain economic stability with integrated policies.

This research investigates the key factors influencing companies registered on the Indonesia Stock Exchange (IDX) that is experiencing financial distress between the years 2021 to 2023. In this study, 353 data points were selected from the target population using purposive sampling. Three key financial ratios were utilized as indicators of financial distress: Profitability can be measured by Return on Assets (ROA), while the Current Ratio (CR) is used to measure liquidity. Meanwhile, The Logarithm of Natural to Total Assets (LnTA) is a metric for evaluating a company’s size.  Multiple regression analysis is performed utilizing SmartPLS 4.0 software to analyze the connection between these factors and the probability of experiencing financial distress. The findings indicate a significant negative association between liquidity (CR) and company size (LnTA) with financial distress. In contrast, profitability (ROA) demonstrates an insignificant negative correlation with financial distress. This study contributes to the literature by providing a comprehensive analysis of the factors influencing financial distress in Indonesia consumer cyclical companies employs signaling theory to interpret the relationships discovered.

The purpose of this study is to identify the impact of parental working hours and family socio-economic conditions on children's cognitive development within Indonesian Muslim households. This research uses data from the Indonesia Family Life Survey (IFLS) waves 4 and 5, employing fixed effect regression methodology with Stata 15.1 software. The study sample includes children from Muslim households aged 7-14 years in IFLS 4 and the same individuals aged 14-22 years in IFLS 5. The findings indicate that father’s working hours have a significant positive effect on children's cognitive development. Higher income from longer working hours enables fathers to meet children's basic needs, such as education and healthcare, which contributes to improving their well-being and cognitive abilities. However, mothers' working hours do not significantly affect children's cognitive development. Socio-economic factors, such as children's education, also have a significant positive impact on their cognitive abilities, while children's employment status has a significant negative impact. Overall, longer fathers' working hours contribute to increased family income, which ultimately supports improved socio-economic conditions and children's cognitive development. This study provides new insights into the dynamics of Muslim families and policy recommendations to support family well-being and education based on Islamic values.

Good financial management at the village level is crucial to support development and the welfare of the village community. However, many villages still face challenges in financial management, one of which is the low quality of human resources (HR) and the lack of integrity among village officials. This study aims to analyze and evaluate the influence of integrity on village financial management, as well as to analyze and evaluate the influence of human resource quality on village financial management, using 35 village governments in Sidoarjo Regency as the research location. This research was conducted by distributing questionnaires to 232 respondents, with the study population being the entire population of Sidoarjo Regency, totaling 1.977 million people, to examine the independent variables (integrity and HR quality) in relation to the dependent variable (village financial management). The method used in this research is Structural Equation Modeling (SEM), with data processing conducted using Smart-PLS 4 software. The results of the study show that the integrity of village officials has a positive influence on village financial management at a rate of 0.444, meaning that the higher the integrity of village officials, the better the financial management of the village. Additionally, HR quality was also found to have a significant impact on village financial management at a rate of 0.420. This research contributes to improving village financial management by emphasizing the importance of integrity and the quality of human resources in village governance.

The SQ-FFQ is a commonly used food consumption assessment method because it is quick, relatively inexpensive, simple, and can be self-administered by respondents. Each SQ-FFQ instrument developed should be validated for the target population to avoid overestimation of food consumption measurements. This study aims to determine the validity of the SQ-FFQ instrument as a tool for assessing food consumption. The 3 Days Food Record is used as the gold standard for comparison in the validity of the SQ-FFQ. Sampling was conducted using accidental sampling, with 30 student respondents. The Nutrisurvey application was used to determine the intake of energy, macronutrients, and micronutrients. Meanwhile, for the diversity score, it was based on the IDDS (Individual Dietary Diversity Score) with a score scale of 0-9. Data analysis was performed using SPSS software with Pearson Correlation tests to examine the relationship between the two methods. The correlation coefficient values for all nutrients showed a significance level of <0.005, with the highest correlation coefficient found for energy intake (r=0.708, p<0.001) and the lowest for iron intake (r=0.412, p=0.024). The correlation test for consumption diversity showed a p-value of <0.001 with a correlation coefficient of 0.706, indicating a strong relationship between the SQ-FFQ method and the 3 Days EFR. The results of this study indicate that the SQ-FFQ method is a valid tool for measuring food intake and diversity among university students in Surabaya.

This study aims to determine the optimal queue system configuration for online motorcycle taxi driver partner registration services at the PT XYZ Bali Branch Office using a quantitative approach. Data on arrival time, service time, and operational costs were analyzed through queuing theory using the POM-QM software. The analysis results show that although phases 1, 2, and 4 meet efficiency criteria (utilization below 70%), reducing the number of servers in phases 1 and 2 can lower operational costs, as the queuing cost is lower than the service cost. Meanwhile, phase 3 shows a high utilization rate (80%), but adding a server increases the total cost. Therefore, the study recommends implementing an interchange schedule to dynamically allocate servers during peak hours to maintain a balance between cost efficiency and service capacity. Additionally, the implementation of self-service in phase 2 is proposed to enhance efficiency without reducing service capacity, with experimental results showing an increase in service rates from 2 to 7 registrants per hour. These findings contribute to the development of a more efficient and applicable queuing model and serve as a reference for companies in improving service quality and registrant satisfaction.

This study analyzes the human development index, regional minimum wage, and labor force participation rate on poverty in North Sumatra in 2001-2023. The data used is secondary data in the form of time series obtained from the publication of the Central Bureau of Statistics. The analysis method used is multiple regression with E-Views software. The results showed that the human development index has no effect, the regional minimum wage has a negative effect and the labor force participation rate has a negative and significant effect on poverty, which indicates that an increase in the human development index tends to not affect poverty because it has a positive value. In contrast, the regional minimum wage and labor force participation rate show a negative and significant effect on poverty. Simultaneously, the human development index, regional minimum wage and labor force participation rate have a significant effect on poverty.

Company value is one of the main indicators used by investors to assess the performance and prospects of a company. This study aims to analyze the influence of liquidity, solvency, and profitability on the value of consumer goods sector companies listed on the Indonesia Stock Exchange (IDX) for the 2019-2023 period. The research sample consisted of 20 companies selected using the purposive sampling method. Data analysis was carried out by multiple linear regression using SPSS 27 software. The results show that liquidity has a negative and significant effect on company value, solvency has a positive and significant effect on company value, while profitability does not have a significant effect on company value. These results indicate that management must pay attention to efficiency in managing liquid assets, maintain a balance between debt and its own capital, and consider other factors other than profitability in increasing company value.  

This research aims to determine the effect of rewards on the performance of CV Teknika Kreasindo employees in Makassar City. The variables in this research consist of the independent variable, namely Reward, and the dependent variable, namely employee performance. The population and sample in this research are all CV employees. Teknika Kreasindo in Makassar City. The data collection techniques used were observation and questionnaires. The data analysis technique used is simple linear regression analysis with SPSS version 26 software to prove the hypothesis. The results of this research show that there is a positive and significant influence between the rewards given by the company on employee performance. These findings indicate that providing appropriate rewards can increase employee motivation and work productivity, so that they can contribute to organizational achievements. It is hoped that this research can provide a reference for companies in designing effective reward systems to improve employee performance.

Poverty is one of the problems still faced by various countries, including Indonesia. This study aims to analyze the effect of unemployment, Human Development Index (HDI), and Gross Regional Domestic Product (GRDP) on poverty in North Sumatra Province. The data used is secondary data obtained from the Central Bureau of Statistics (BPS) of North Sumatra during the period 2003-2024. The analysis method used is econometric analysis using the Ordinary Least Square (OLS) method with the help of Eviews 13 software. The results showed that partially, the variables of unemployment and HDI did not have a significant influence on poverty. However, GRDP has a significant negative effect on poverty, which indicates that an increase in GRDP can reduce the amount of poverty in North Sumatra Province. Simultaneously, unemployment, HDI, and GRDP have a significant influence on poverty with a contribution of 83.63%. These findings indicate that effective policies in reducing poverty need to focus on increasing GRDP and improving the quality of education and public health.

This study examines the presence of the Monday effect in companies listed in the IDX30 index on the Indonesia Stock Exchange (IDX) from February 2018 to January 2023. The Monday effect is a market anomaly where stock returns on Mondays tend to be systematically different from other trading days. This phenomenon, if proven, challenges the efficient market hypothesis. The main research problem is whether the Monday effect exists in IDX30 stocks during the specified period. The study aims to provide empirical evidence regarding this anomaly in the Indonesian stock market. The research employs a quantitative approach, utilizing secondary data in the form of daily stock closing prices. The sample consists of 15 companies that were consistently listed in the IDX30 index throughout the study period, selected through a purposive sampling method. The analysis is conducted using the One-Way ANOVA test with SPSS 27 statistical software to compare stock returns across different trading days. The findings confirm the presence of the Monday effect in IDX30-listed stocks, indicating that stock returns on Mondays exhibit statistically significant differences compared to other days. These results suggest that behavioral factors and market inefficiencies may influence stock price movements in the IDX30 index. This study contributes to the literature on stock market anomalies and provides insights for investors and policymakers regarding trading strategies and market efficiency in Indonesia.

In the modern construction industry, accuracy and efficiency in volume calculations are crucial aspects of project success. This study compares two methods for calculating the volume of pile caps and reinforcement: the manual method and the Building Information Modeling (BIM)-based method. The manual method has long been used but has limitations in terms of time efficiency and a higher risk of errors. In contrast, the BIM method offers more accurate and efficient calculations through software-based digital modeling. This study employs a descriptive-comparative quantitative approach by analyzing volume calculation data using both methods. The results indicate that the BIM method has a higher level of accuracy, with a concrete volume of 1,822.87 m³ and reinforcement of 148,862.80 kg, compared to the manual method, which produced a concrete volume of 1,842.17 m³ and reinforcement of 150,279.05 kg. The comparison of pile cap volume calculations shows that the BIM method achieves 98.95% effectiveness in concrete volume calculations and 99.06% effectiveness in reinforcement calculations compared to the manual method. Additionally, the BIM method has proven to be more efficient in reducing calculation time and minimizing input errors. Thus, BIM is more recommended for large-scale projects that require high accuracy and efficiency in construction volume calculations. However, the manual method remains relevant as a validation tool and for small projects with technological limitations. This study highlights the importance of adopting digital technology in the construction industry to enhance productivity and project planning effectiveness.    

In this area service is very important with many people who use it to travel far or near or just send package. Data analysis using path analysis with the help of SPSS 27 and SmartPLS 4.0 software. The results of the study indicate 1) there is no significant effect of service quality on customer satisfaction 2) there is a significant effect of customer relationship management on customer satisfaction 3) there is a significant effect of customer satisfaction on customer loyalty 4) there is an effect of service quality on customer loyalty 5) there is an insignificant effect of customer relationship management on customer loyalty 6) there is an insignificant effect of service quality on customer loyalty through customer satisfaction 7) there is a significant effect of customer relationship management on customer loyalty through customer loyalty.

The selection system at Bina Negara Gubug Vocational School Jl. KH. Hasan Anwar No.9 Gubug currently processes data on the criteria for each student for each type of scholarship. It does not yet have a database system but uses a computerized system with Microsoft Excel, so there are often delays in the selection process in preparing the selection report for scholarship recipients. This research uses the Research and Development (R & D) development model by Borg and Gall with 6 steps of development, namely Research and Information Collecting, Planning, Develop Premilinary Form of Product, Premilinary Field Testing, Main Product Revision, Main Field Testing. The scholarship selection decision support system application product uses the SAW (Simple Additive Waighting) method. Visual Basic 6.0 development software and Microsoft Access database. This system can provide a useful solution for the decision-making system for selecting scholarship recipients for schools so that a better and faster selection can be achieved.      

This study aims to analyze the effectiveness of implementing Accurate accounting software in financial report management at PT. XYZ). Accurate is utilized to enhance operational efficiency, recording accuracy, and real-time financial reporting. The findings reveal that the use of Accurate reduces recording errors and accelerates the financial reporting process. Integration features across modules such as purchasing, sales, and inventory improve interdepartmental data consistency. Additionally, Accurate helps the company comply with Indonesian Financial Accounting Standards (PSAK) and tax regulations through automated reporting. Key success factors include adequate employee training and feature customization tailored to the needs of manufacturing companies. This study concludes that technology-based accounting software not only improves financial data accuracy but also supports better strategic decision-making for management.

TikTok Shop is a social e-commerce feature that allows users and creators to promote and sell products while shopping. By selling through TikTok Shop, users and creators can earn money from the platform, especially with the growing number of TikTok users. The presence of the shopping feature on this app makes TikTok increasingly popular because, in addition to entertainment, users do not need to switch to other shopping apps to make transactions. This study aims to examine and analyze the influence of content marketing and brand image mediated by electronic word of mouth (eWOM) on product purchase interest in TikTok Shop. This research uses an associative method with a quantitative approach. The population in this study consists of TikTok Shop consumers in the Dumai area, with an unknown number, categorized as an infinite population. The Lemeshow formula was used for sampling, resulting in 97 respondents. Data analysis was performed using WarpPLS version 8.0 software. Based on the test results, it can be concluded that content marketing has a positive and significant effect on product purchase interest, as well as a positive effect on eWOM. Furthermore, eWOM was found to mediate the effect of content marketing on product purchase interest. Brand image also has a positive and significant effect on product purchase interest and eWOM, and eWOM can mediate the effect of brand image on product purchase interest.