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This study aims to determine the influence of affiliate marketing programs, price, and promotion on purchasing decisions for Mezuca perfume on TikTok Shop. As the digital era advances, social media platforms like TikTok serve not only as entertainment platforms but also as effective channels for marketing products through the TikTok Shop feature and affiliate programs. This strategy allows content creators to act as sales partners, directly influencing consumer decisions. This quantitative study utilizes primary data obtained through questionnaires distributed to 180 respondents who had purchased Mezuca perfume through Mamnun's TikTok Shop account. After a selection process using purposive sampling, 160 respondents met the criteria and were eligible for analysis. Data analysis was performed using SPSS software with various statistical tests, including descriptive statistics, validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F-tests, and coefficients of determination (R²). The results indicate that affiliate marketing programs, price, and promotion simultaneously have a positive and significant effect on purchasing decisions. Partially, these three variables also show a significant positive influence on consumer decisions. These findings indicate that implementing effective digital marketing strategies, particularly through affiliate marketing, competitive pricing, and engaging promotions, plays a significant role in increasing consumer purchasing interest on social media platforms. This research offers practical implications for businesses in designing optimal and targeted digital marketing strategies.

Patriarchy in the modern era still persists despite continuous efforts to achieve gender equality across various aspects of life, including education, the workplace, and social interactions. Its presence is often reinforced through mass media, particularly in television series. The drama series “Bid’ah” vividly portrays the impact of patriarchy on women’s lives, both in domestic settings and in the public sphere. This study aims to examine the extent to which exposure to the series “Bid’ah” influences viewers’ perceptions of patriarchy. This research employed a quantitative approach involving 100 undergraduate students from the Communication Science program at Universitas Bina Bangsa. The sampling technique used was purposive sampling, where participants were selected based on specific criteria relevant to the research objectives. Data were collected through an online questionnaire using a four-point Likert scale to measure the respondents’ perceptions. The data were then analyzed using simple linear regression with the help of SPSS software. The findings indicate a significant influence between exposure to the series and viewers’ perceptions of patriarchy. This is evidenced by a correlation coefficient of 0.405 (p-value 0.000) and a coefficient of determination of 0.164. These results suggest that 16.4% of the variance in perceptions of patriarchy can be explained by exposure to the “Bid’ah” series, while 83.6% is influenced by other factors beyond this study. These findings highlight the important role of media in shaping social perceptions, particularly regarding gender norms and patriarchal values. This study contributes to the understanding of how media, especially television dramas, can both reinforce and challenge gender stereotypes, while also providing insights into the potential influence of media content on audiences’ attitudes toward gender equality.

This study aims to examine the influence of product quality, price, and promotion on consumer purchase decisions of Compass shoes through the Shopee application in South Jakarta. The research was motivated by the rapid growth of e-commerce in Indonesia, particularly among urban consumers who are digitally literate and highly responsive to marketing stimuli. A total of 100 respondents were selected using a non-probability sampling method with an accidental sampling technique. Data were collected through questionnaires measured on a Likert scale and analyzed using multiple linear regression with SPSS version 22. The findings reveal that product quality, price, and promotion each have a positive and significant effect on purchase decisions. Product quality was identified as a key determinant that enhances consumer trust through durability, comfort, and authentic design, while price competitiveness supports perceived fairness and affordability in a highly competitive digital marketplace. Promotion emerged as the strongest factor, demonstrating the effectiveness of creative digital campaigns, influencer collaborations, and flash sale programs in stimulating consumer interest and driving purchases. These results highlight the importance of integrating product excellence with strategic pricing and innovative promotional activities to influence purchase behavior, especially among Gen Z and millennial consumers. From a theoretical perspective, this study enriches the literature on digital marketing and consumer behavior in the context of local brands competing in online marketplaces. Practically, the findings provide valuable insights for Compass and other local SMEs to formulate effective marketing strategies that align with consumer expectations and strengthen competitiveness in the dynamic e-commerce ecosystem.

This study examines effects of resilience, social support, and psychological well-being on employee performance at CV Duta Jaya Tehnic. Resilience refers to an individual’s capacity to handle work pressure and challenges. Social support includes assistance from coworkers and family. Psychological well-being denotes a healthy mental state. The study proposed significant partial and joint effects for the three predictors. A quantitative survey design was used. Questionnaires were distributed to 38 employees. Multiple linear regression evaluated partial and joint relationships between predictors and performance. Results show a significant positive effect of resilience on performance (p = 0.001 < 0.05). Social support (p = 0.573) and psychological well-being (p = 0.700) show no significant partial effects. Jointly, the three predictors explain performance significantly (p < 0.001). The findings highlight a central role for personal resilience in improving performance at CV Duta Jaya Tehnic, while social support and psychological well-being show no standalone effect within this sample. Overall, the regression model with the three predictors provides meaningful explanatory power for employee performance in this company. Managerial implications follow from the evidence. Prioritize initiatives to build resilience, including brief coping-skill sessions, energy management, and recovery practices. Maintain support systems and well-being programs, yet direct resources first toward resilience building.  

Coastal areas are vital for ecosystems, social, and economic systems, yet they face challenges like erosion, land-use conversion, and weak community-based management. Serdang Bedagai Regency, located in North Sumatra, has significant ecological and socio-cultural potential, but this potential has not been sustainably managed. This study analyzes strategies for sustainable coastal land management by integrating local wisdom and village government roles. A mixed-method approach was used, including in-depth interviews, field observations, and surveys with 30 respondents from two coastal villages. The qualitative findings reveal that traditional practices, such as prohibiting mangrove cutting and communal conservation traditions, are still alive in the community. The village government plays a crucial role in strengthening institutions through village regulations (Perdes), environmental programs, and spatial monitoring. However, there is a gap between community understanding of ecological values and the implementation of regulations. Quantitative analysis using multiple linear regression shows that both local wisdom and the village government's role significantly influence sustainable coastal land management, with coefficients of 0.491 and 0.426, respectively (p < 0.05). Despite some heteroskedasticity, the model passed tests for multicollinearity and normality. These findings highlight the importance of combining traditional values with institutional support to balance coastal resource utilization and conservation. This study contributes to the development of a socio-ecological coastal governance model and offers practical recommendations for village governments, policymakers, and academics in creating participatory and sustainable coastal preservation programs.

This study examines the impact of workload and work stress on employee job satisfaction at PT Inhutani I UMI Gresik, a wood-processing company operating under Perum Perhutani. The research employed a quantitative design with an associative (causal) approach to identify the extent to which workload and stress contribute to variations in job satisfaction. Data were collected through questionnaires distributed to 48 employees selected using a simple random sampling method. The analytical process involved validity and reliability testing, classical assumption tests, multiple linear regression, as well as t-tests, F-tests, and the coefficient of determination (R²). The results indicate that workload and work stress, when considered simultaneously, have a significant influence on job satisfaction. However, partial testing revealed that workload did not exert a significant effect, while work stress had a statistically significant negative impact on satisfaction. Regression analysis further demonstrated that work stress emerged as the dominant predictor, accounting for a larger proportion of variance compared to workload, as reflected by the higher beta coefficient and partial determination value. These findings suggest that while workload may serve as a motivator when maintained within reasonable limits, unmanaged stress arising from role ambiguity, conflicting demands, and organizational pressures significantly undermines job satisfaction. The study underscores the importance of stress management strategies within organizations, particularly in high-demand industries such as forestry and wood processing. Practical implications include the need for supportive leadership, effective communication, realistic target-setting, and the implementation of employee assistance programs. By addressing stress more effectively, organizations can enhance employee well-being, foster greater job satisfaction, and ultimately improve overall organizational performance.

Mikrotrans Jaklingko is one of the public transportation modes managed by PT Transjakarta and is designed as an alternative solution to meet the daily mobility needs of urban communities. Unlike conventional public minibuses (angkot), the Mikrotrans service operates with stricter regulations, such as fixed routes, designated stops, and more orderly service management. The program aims to encourage people to shift from using private vehicles to public transportation while improving user comfort and satisfaction in the Jakarta metropolitan area. This study specifically analyzes the influence of service quality and facilities on user satisfaction with the Mikrotrans Jaklingko service. The research employed a quantitative approach, with data collected through field observations and questionnaires distributed to 100 active Mikrotrans users. The data were processed and analyzed using SPSS through a series of tests, including validity, reliability, classical assumption testing, coefficient analysis, multiple linear regression, and hypothesis testing using both t-tests and F-tests. The findings reveal that service quality has a significant effect on user satisfaction. Furthermore, the available facilities, such as vehicle comfort, safety, and the adequacy of supporting infrastructure, also have a positive and significant effect on satisfaction levels. Simultaneously, both independent variables contribute significantly to enhancing user satisfaction. These results highlight that improving service quality and facilities should be a strategic priority to ensure greater comfort for the public when using Mikrotrans. Ultimately, these improvements will strengthen government efforts to encourage a transition from private vehicles to public transportation in Jakarta, thereby supporting sustainable urban mobility.

This study aims to analyze the influence of financial technology, risk tolerance, return expectation, and financial literacy on student investment decisions, with a specific focus on students of the Faculty of Economics and Business, Budi Luhur University, Jakarta. The increasing growth of young investors in Indonesia, particularly from Generation Z, emphasizes the urgency of understanding the behavioral and technological factors that shape their financial decision-making. The research employed a quantitative approach using purposive sampling by distributing online questionnaires to 100 executive class students, calculated using Slovin’s formula. Data collection was supported by literature reviews and documentation, while analysis was conducted using multiple linear regression with the help of SPSS version 26 and Microsoft Excel 2019. The results reveal that financial technology, return expectation, and financial literacy each have a positive and significant effect on student investment decisions. In contrast, risk tolerance shows a significant negative effect, suggesting that higher risk tolerance does not necessarily translate into better decision-making among students. These findings highlight the complex interplay of behavioral and cognitive factors in shaping investment choices. The study contributes to the field of behavioral finance and provides practical implications for financial education, suggesting the need for stronger integration of financial literacy programs and responsible fintech usage among young investors. In conclusion, enhancing financial knowledge and aligning return expectations are critical strategies to improve rational investment behavior in the digital era.

This research aims to determine the effect of Return on Assets (ROA), Earnings per Share (EPS), Debt to Equity Ratio (DER), and Total Asset Turnover (TAT) on Stock Prices. The population of this study consists of companies in the Transportation and Logistics sub-sector listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. Secondary data is used in this research, and purposive sampling techniques are employed, resulting in a sample of 22 companies within the Transportation and Logistics sub-sector from a population of 37 companies listed on the IDX during the same period. The research employs multiple linear regression analysis, with data processed using the Statistical Program for Social Science (SPSS) version 22. The results of the study reveal that ROA, EPS, and TAT significantly affect stock prices, while the DER does not have a significant effect on stock prices. The findings provide insight into the importance of financial indicators such as ROA, EPS, and TAT in determining the stock prices of companies within the Transportation and Logistics sub-sector. This study contributes to the literature on the relationship between financial performance metrics and stock prices, offering useful insights for investors and decision-makers in the financial market. Further research may explore other factors influencing stock prices and the role of corporate governance in shaping financial outcomes.

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 research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

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.

Micro, Small, and Medium Enterprises (MSMEs) are strategic sectors in the Indonesian economy, but often face challenges in efficient and data-driven production management. This article highlights the urgency of the Real Work Lecture (KKN) program as a form of student service in assisting MSMEs, especially in optimizing the production of snacks typical of Tebing Syahbandar. This research aims to optimize the production output of the Untir-untir Titik Factory with an Integer Linear Programming (ILP) approach using the Branch and Bound algorithm. Primary data is obtained through interviews and production documentation, including product type, raw material needs, operational costs, selling prices, and profit margins. The initial analysis was carried out using the simplex method using POM QM software to obtain a linear solution, which was then refined with the Branch and Bound algorithm so that the results were in the form of integers. The results of the study showed that the optimal solution was achieved by producing 25 bales of kolong-kounder and not producing other types of snacks, resulting in a profit of Rp1,650,000 per day. These findings show that the ILP approach with Branch and Bound is able to significantly increase the efficiency and profitability of MSMEs. In addition, this method can be used as a basis for quantitative-based production decision-making. This research also emphasizes the strategic role of KKN in technology transfer and real solution-based assistance for MSME actors in the region, thereby supporting the sustainable strengthening of the local economy.

This study was conducted to analyze the influence of transformational leadership and work morale on employee performance at company X, both partially and simultaneously. The study used a quantitative approach with a causal associative design aimed at testing the cause-and-effect relationship between variables. The study population consisted of 37 permanent employees who were also sampled using a total sampling technique, so that the entire population was represented in the study. The main instrument for data collection was a questionnaire using a Likert scale, which allows respondents to provide measurable answers. The collected data were analyzed through multiple linear regression with the help of the SPSS program version 26 to test the influence of each independent variable on the dependent variable. The results showed that the transformational leadership variable obtained an average score of 3.86 which is included in the good category, the work morale variable had an average score of 4.08 also in the good category, and the employee performance variable obtained an average score of 4.17 which is in the good category. Partial regression analysis revealed that transformational leadership has a significant influence on employee performance with a contribution of 40%. Meanwhile, work morale also has a significant influence, although its contribution is smaller at 10%. Simultaneously, both independent variables, transformational leadership and work morale, significantly influenced employee performance, with a combined contribution of 41%. This finding indicates that a transformational leadership style implemented by leaders and high employee work morale can significantly improve performance. However, 59% of other factors outside this study also influence employee performance, such as organizational culture, reward systems, work environment, and intrinsic and extrinsic motivation. Thus, this study emphasizes the importance of implementing transformational leadership and company efforts to improve employee work morale to achieve optimal performance.

This study aims to optimize the cake production profit at Cake by Cece using the Branch and Bound algorithm. The data used include raw material requirements per batch, daily raw material availability, and selling prices for three types of cakes: Cookies, Brownies, and Cinnamon Roll. The optimization model is formulated as an Integer Linear Programming problem with the objective of maximizing total daily profit. The model is solved using the simplex method followed by the Branch and Bound algorithm to obtain valid integer solutions. The results indicate that the optimal production combination is 2 batches of Cookies, 2 batches of Brownies, and 3 batches of Cinnamon Roll, yielding a maximum profit of IDR 233,000 per day. This solution satisfies all raw material constraints and is feasible for daily operational implementation. This study provides quantitative recommendations to support production decision-making in culinary sector MSMEs.

Student interest in becoming a teacher remains a major challenge in preparing prospective professional teachers, especially amidst increasingly complex changes and demands in education. This study aims to analyze the influence of the School Field Introduction (PLP) experience and perceptions of the Teacher Professional Education (PPG) program on student interest in becoming a teacher. This study used a quantitative approach with a multiple linear regression method. The population in this study were all students of the Economics Education Study Program at Surabaya State University, intake 2020–2022, with a sample of 150 students selected purposively. Data collection was conducted using a questionnaire instrument distributed online via Google Form. The collected data were analyzed using multiple linear regression tests to examine the partial and simultaneous effects of the independent variables on the dependent variable. The results of the analysis indicate that partially, the PLP experience does not have a significant effect on interest in becoming a teacher. Conversely, student perceptions of the PPG program show a positive and significant effect on interest in becoming a teacher. Simultaneously, the PLP experience and PPG perceptions significantly influence student interest in becoming a teacher. These findings indicate that perceptions of PPG have a more dominant contribution in shaping interest in becoming a teacher than PLP experience. Therefore, it is crucial for educational institutions to improve the understanding and quality of PPG program implementation to encourage students' interest in pursuing a career as teachers. This research provides practical implications for curriculum designers and teacher education program managers to place greater emphasis on students' perceptions and readiness for PPG in order to produce professional and highly motivated teachers.

This study was conducted to analyze the effect of occupational safety and health (OHS) training, OHS compliance, and leadership style on the workplace accident rate among employees of PT. XYZ. Workplace accidents remain a significant problem in the industrial sector, thus this study seeks to provide a deeper understanding of the factors that can reduce this risk. The research method used was a quantitative survey approach, where primary data were obtained by distributing questionnaires to 40 respondents selected using a non-probability sampling technique with a purposive sampling method. The analysis techniques used in this study were descriptive analysis and multiple linear regression with the help of SPSS software version 25. The use of regression analysis allows researchers to determine the strength and direction of the relationship between independent and dependent variables. The results show that OHS compliance has a significant influence on the workplace accident rate. This confirms that compliance with occupational safety and health procedures can minimize the risk of accidents. Meanwhile, OHS training and leadership style did not show a significant influence on workplace accidents. This finding indicates that training programs and leadership style may not directly reduce workplace accidents unless they are consistently implemented and supported by strong compliance. Thus, OHS compliance is a key factor in creating a safe and productive work environment. This research provides a practical contribution for companies to focus safety management policies more on improving worker compliance with OHS regulations. Furthermore, the results of this study can serve as a reference for further research in different industrial contexts.

This study examines the influence of product quality, service quality, and word of mouth on purchase decisions at DNA Spot Café Surakarta, based on 100 randomly selected respondents. Multiple linear regression analysis shows that service quality and word of mouth have a positive and significant effect, while product quality is not significant. The coefficient of determination of 61.3% indicates that the independent variables explain most of the variation in purchase decisions, contributing to marketing management research in the café industry. The results highlight the crucial role of service quality in shaping customer perceptions and driving decision-making in the café industry. High-quality service fosters positive customer experiences, which, in turn, encourage repeat visits and enhance loyalty. Additionally, the significant influence of word of mouth underscores the importance of social interactions and customer recommendations in the decision-making process, especially in a service-based business like a café, where personal experiences are often shared and valued among peer groups. Conversely, the insignificance of product quality suggests that while product standards are important, they may not be the primary driver of purchase decisions at DNA Spot Café. This indicates that customers may prioritize the overall experience, atmosphere, and peer recommendations over product differentiation when choosing where to dine or spend leisure time. These findings contribute to the body of marketing management research, particularly in the context of the café industry, by emphasizing the strategic importance of service excellence and customer engagement strategies to enhance brand reputation and influence consumer behavior. Future research could explore additional factors such as pricing, promotional strategies, and customer loyalty programs to provide a more comprehensive understanding of purchase decision dynamics.

This study aims to analyze the effect of school principals' transformational leadership on the performance of ICT teachers in implementing digital learning at SMAN XYZ, specifically examining how four dimensions of transformational leadership Influence teacher motivation, creativity, and innovation in technology integration. This quantitative research employed an explanatory correlational design with 20 ICT teachers as respondents selected through purposive sampling. Data were collected using validated questionnaires adapted from the Multifactor Leadership Questionnaire (MLQ) by Bass and Avolio (1994) for transformational leadership and the TPACK framework by Koehler and Mishra (2009) for teacher performance. Simple linear regression analysis was conducted using SPSS 25 to test the research hypothesis. Results demonstrate that transformational leadership significantly and positively influences ICT teacher performance (β = 0.672, p = 0.003 < 0.05), explaining 67.2% of performance variance. The principal's transformational leadership scored highly (4.3/5), with individualized consideration contributing most significantly to teacher performance. ICT teacher performance reached a high category (4.1/5), with the most substantial achievement in technology-based lesson planning, although challenges remain in independent digital content development and innovative assessment methods. Theoretically, this research strengthens transformational leadership Theory in digital Education contexts and supports the TPACK framework's emphasis on leadership support for technology integration. Practically, findings guide principals to optimize transformational leadership through enhanced mentoring, professional development programs, and the creation of an innovation culture. The study offers an empirical foundation for educational policymakers to develop school leadership training programs focused on digital transformation, while highlighting the importance of individualized consideration in supporting teacher technology competency development.

This study aims to empirically examine the influence of compensation, work motivation, and work environment on employee turnover intention at PT. XYZ, Kimia Merak Division. This study is expected to contribute both theoretically and practically in the field of human resource management, particularly in reducing employee turnover. The problem of turnover intention is a crucial issue because it can have negative impacts on organizational sustainability, such as increased recruitment costs, disrupted productivity, and the loss of experienced employees. The research method used is a quantitative approach with a purposive sampling technique. The study sample consisted of 75 permanent employees who have worked for at least two years. Data collection was carried out using a questionnaire instrument that has been tested for validity and reliability. Data analysis used multiple linear regression to test the influence of independent variables on the dependent variable. The results of the study indicate that compensation, work motivation, and work environment each have a negative and significant effect on turnover intention. This means that the better the compensation provided, the higher the employee's work motivation, and the more conducive the work environment, the lower the tendency of employees to intend to leave the company. The findings indicate that improving compensation packages, enhancing employee motivation, and maintaining a supportive work environment are crucial strategies to reduce turnover intention. Based on these results, companies are advised to design fair and competitive compensation systems, create programs that enhance intrinsic and extrinsic motivation, and ensure a safe, comfortable, and supportive work environment for employee performance. This way, companies can retain quality human resources and maintain operational stability.