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The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This study aims to analyze the partial and simultaneous effects of Investment Decisions, Financing Decisions, and Company Size on Company Value at PT Ciputra Development Tbk for the period 2014-2024. Company value is proxied by Price to Book Value (PBV), investment decisions by Price Earning Ratio (PER), financing decisions by Debt to Equity Ratio (DER), and company size by SIZE. The method used in this study is descriptive quantitative. The population of this study is the financial statements of PT Ciputra Development Tbk for the period 2014-2024, and the sample used is the financial position report, income statement, and share price of PT Ciputra Development Tbk for the period 2014-2024. The analysis methods used are descriptive analysis, classical assumption testing, multiple linear analysis, t-test, f-test, and coefficient of determination test using SPSS version 26. The results of the study show that partially, PER and DER do not have a significant effect on PBV, while SIZE has a negative and significant effect on PBV. Simultaneously, PER, DER, and SIZE significantly affect PBV with a coefficient of determination of 94.7%, indicating that the regression model has excellent predictive power. The remaining 5.3% is influenced by other variables outside the scope of this study.

The development of Artificial Intelligence (AI) technology has significantly changed strategy and decision making in marketing management. However, the massive use of AI raises new challenges regarding ethics, transparency and governance. This research aims to analyze the impact of using AI, especially recommender systems and large language models (LLMs), on the effectiveness of marketing decisions, as well as the role of AI governance in controlling emerging ethical issues. The research method uses a quantitative approach with Structural Equation Modeling (SEM) analysis of data collected from 250 marketing professionals in Indonesia. The research results show that the use of AI has a significant positive effect on the effectiveness of marketing decisions (β=0.62, p<0.001), but also raises ethical issues (β=0.48, p<0.01). Ethical issues were proven to reduce the effectiveness of marketing decisions (β=-0.31, p<0.05), while good AI governance was able to moderate the negative impact of ethical issues (β=0.27, p<0.05). These findings underscore the importance of AI governance in building effective and ethical marketing systems.

This study examines the management of Kediri Nite Carnival (KNC), an annual event organized by the Kediri City government to commemorate the city's anniversary and showcase local arts, culture, and tourism potential. This research uses qualitative methodology and employs literature analysis, observation, and documentation as case study methods. The Miles and Huberman interactive model is used to analyze the data. The Kediri City Tourism Office has implemented each stage of event management according to Goldblatt's concept: research, design, preparation, coordination, and evaluation. The focus of the research was to determine the objectives and target audience; the design highlighted the local cultural theme “Exotic Flower in Paradise”; planning included budget planning, scheduling, and promotional strategies through social media and collaboration with local media; coordination was carried out through task distribution and cross-team communication; and evaluation assessed the success of the event based on community feedback and its effects on tourism and the local economy. The research results show that KNC plays an important role in improving the public's perception of Kediri City as a creative and cultured city. However, efforts to increase the number of tourist visits in the long term still need to be made. It is hoped that these findings will help the local government develop a sustainable tourism communication plan.

This study investigates the influence of discount programs, digital marketing strategies, and service quality on prospective students’ decisions to enroll at STIE Surakarta. The increasingly competitive landscape of private higher education in Indonesia requires institutions to formulate effective marketing strategies that can address the expectations and behavioral tendencies of Generation Z. A quantitative approach was employed using survey data from 36 new students selected through purposive sampling based on their participation in discount-based admission programs. The research instruments were validated through correlation tests and demonstrated reliable internal consistency. Data were analyzed using multiple linear regression to identify both partial and simultaneous effects among the variables. The findings reveal that discount offers are the only variable that significantly affects enrollment decisions, indicating that financial incentives remain a dominant consideration for prospective students evaluating private tertiary education options. Meanwhile, digital marketing and service quality, although yielding positive regression coefficients, do not show significant partial effects. However, the three variables collectively have a significant simultaneous effect, suggesting that enrollment decisions are shaped by a combination of economic, promotional, and perceptual factors. The model explains 45.7% of the variance in enrollment decisions. These results highlight the need for higher education institutions to balance financial incentives with consistent digital marketing execution and improved service delivery. The study contributes to the expanding literature on student decision-making behavior and offers practical insights for strengthening competitive marketing strategies in private higher education.

The rapid advancement of smartphone technology has shaped consumer buying behavior, especially among students who depend on these devices for learning and social interaction. This research examines how product features and price perceptions influence students’ decisions to purchase Oppo smartphones in Malang City. Using a quantitative research design, data were obtained through questionnaires distributed to 428 respondents and processed using multiple linear regression analysis. The findings indicate that both product features and perceived price positively and significantly affect purchasing decisions, with product features demonstrating a more dominant role. The proposed model accounts for 66.2% of the variance in purchase decisions, suggesting that these two factors play a substantial part in shaping consumer choices. The results highlight the need for manufacturers like Oppo to focus on continuous feature improvements and maintain competitive pricing to strengthen market appeal. It is also suggested that future studies integrate additional variables such as brand image, marketing promotions, or user experience to offer a broader and more in-depth explanation of the determinants influencing smartphone purchase behavior.

Conflict is an inevitable phenomenon in organizations and educational institutions, and if not managed properly can have a negative impact on performance, effectiveness, and interpersonal relationships. However, conflict also has the potential to be a catalyst for improvement if managed appropriately. Therefore, it is important to systematically examine the stages of conflict, their impacts, and relevant management strategies. This study aims to answer the following questions: (1) How are the stages of conflict identified in various organizational and educational contexts? (2) What are the impacts of conflict on organizations? and (3) What management strategies are most effectively implemented? The method used was a literature review by searching articles through national and international databases using the keywords stages of conflict, conflict management, and education. Of the 73 initial articles, 18 primary articles were selected for thematic analysis. The analysis revealed three main findings: (1) conflict generally develops through stages of latency, escalation, and overt manifestation; (2) conflict negatively impacts performance if left unchecked, but can be constructive if managed; and (3) effective conflict management strategies are contextual, combining structural, interpersonal, and cultural-religious value approaches. In conclusion, this literature highlights the need for adaptive conflict management to maintain organizational stability. Further research is suggested to explore integrative models of conflict management based on local values and educational practices.

This study aims to analyze the influence of organizational culture, work environment, and workplace boredom on employee performance through Cyberloafing behavior among employees at PT Geo Dipa Energi (Persero). The research employed a survey method with a quantitative descriptive approach, enabling systematic collection of numerical data to identify relationships among variables. The sample consisted of 339 employees selected purposively to reflect diverse perceptions regarding organizational culture, working conditions, and levels of boredom. Data analysis was conducted using Partial Least Square-Structural Equation Modeling (PLS-SEM), which allows testing both direct and indirect effects among variables. The results indicate that organizational culture, work environment, and workplace boredom significantly affect employee performance, both directly and through Cyberloafing behavior. Cyberloafing was found to mediate the relationship between organizational culture, work environment, and employee boredom with performance, thereby either strengthening or weakening the influence of these variables on work outcomes. These findings highlight the importance of managing an organizational culture that promotes productivity, improving a conducive work environment, and reducing employee boredom levels. Additionally, controlling Cyberloafing behavior is crucial for optimizing employee performance. The study provides practical implications for the management of PT Geo Dipa Energi (Persero) in designing effective policies and programs to enhance work efficiency and employee satisfaction.

This study aims to determine the influence of Brand Image, Price, and Service Quality on Consumer Purchase Decisions at Vins Aesthetic Clinic Blitar. This research adopts a quantitative approach, focusing on the statistical analysis of the relationship between variables. The data were obtained from primary sources through the distribution of structured questionnaires to respondents. The population in this study consisted of all consumers of Vins Aesthetic Clinic Blitar. A sample of 100 respondents was selected using a saturated sampling technique, where the entire population is used as the sample due to the accessible number of consumers during the research period. Several analytical methods were applied, including validity and reliability tests to ensure the quality and consistency of the research instruments. Classical assumption tests were also conducted to confirm the appropriateness of the regression model. The study used multiple linear regression analysis to examine the effect of the independent variables — Brand Image, Price, and Service Quality — on the dependent variable, namely Consumer Purchase Decisions. The results of the partial (t-test) analysis showed that each variable — Brand Image, Price, and Service Quality — has a positive and significant influence on purchase decisions. Furthermore, the results of the simultaneous (F-test) analysis indicate that all three variables together significantly affect Consumer Purchase Decisions at Vins Aesthetic Clinic Blitar.

This study aims to examine the influence of firm size, profitability, and liquidity on the capital structure of PT Krakatau Steel Tbk during the 2017–2024 period. The independent variables in this study consist of firm size, measured by the natural logarithm of total assets (Ln Total Assets), profitability measured by Return on Equity (ROE), and liquidity measured by the Current Ratio (CR). The dependent variable is capital structure, proxied by the Debt to Equity Ratio (DER). A quantitative approach was employed, utilizing multiple linear regression analysis to test the hypotheses. The data used were secondary in nature, comprising quarterly financial statements of PT Krakatau Steel Tbk obtained from the Indonesia Stock Exchange (IDX) and other official sources. The empirical findings reveal that, partially, firm size has a negative and statistically significant effect on capital structure. This suggests that larger firms tend to rely less on debt financing. Profitability exerts a positive and significant influence on capital structure, indicating that more profitable companies are more likely to use debt to finance their operations. Conversely, liquidity exhibits a negative yet statistically insignificant impact on capital structure, implying that liquidity does not have a substantial effect on the company's capital structure decisions. Simultaneously, the three independent variables collectively have a significant effect on capital structure. The model’s coefficient of determination (R²) indicates that 26.7% of the variation in capital structure can be explained by the independent variables, while the remaining 73.3% is attributable to other factors not included in this study. These findings contribute to the understanding of financial decision-making within capital-intensive industries.

This study aims to determine the extent to which service quality, product variety, and price influence purchasing decisions at Perdana Stationery Kediri. A quantitative research method was employed, involving a total of 170 respondents who were selected using accidental sampling techniques. The primary data were gathered through a structured Likert-scale questionnaire, and then analyzed using multiple linear regression analysis to assess both the individual and simultaneous effects of the independent variables on purchasing decisions. The results of the partial tests showed that service quality has a positive and significant influence on purchasing decisions, with a t-value of 4.112 and a significance level of 0.000. Similarly, product variety demonstrated a significant positive effect (t = 3.905, p = 0.000), indicating that a wide selection of products can attract and retain more customers. Furthermore, price was also found to significantly influence purchasing decisions (t = 3.732, p = 0.000), suggesting that competitive and reasonable pricing remains an essential factor in consumers' buying behavior. The simultaneous test (F-test) showed that all three variables collectively have a significant impact on purchasing decisions, with an F-value of 45.672 and a significance value of 0.000. The model explains 45.1% of the variance in purchasing decisions, indicating a substantial level of influence. In conclusion, this study highlights that delivering high-quality service, offering diverse product options, and maintaining competitive pricing are key strategies for increasing customer purchasing decisions, improving market competitiveness, and fostering long-term customer loyalty.

This study aims to analyze the influence of work discipline, job satisfaction, and motivation on the performance of billman employees at PT. PLN Electricity Services ULP Kediri City. Employee performance plays a strategic role in ensuring the company’s service quality and operational sustainability, particularly in the field of billing services which directly impacts customer satisfaction and company revenue. The research employs a quantitative approach with a multiple linear regression method to assess both partial and simultaneous effects of the independent variables. The population of this study consisted of all 33 billman employees of PT. PLN Electricity Services ULP Kediri City, and due to the small size, a saturated sampling technique was used so that the entire population served as respondents. Primary data were collected through questionnaires distributed to all employees and then analyzed statistically. The findings indicate that, partially, work discipline has a negative and insignificant effect on employee performance, suggesting that discipline alone does not guarantee productivity improvement. On the other hand, job satisfaction and motivation both have a positive and significant effect on employee performance, showing that intrinsic and psychological factors contribute more strongly to optimal work outcomes. Furthermore, when tested simultaneously, work discipline, job satisfaction, and motivation collectively exert a positive and significant influence on employee performance. The coefficient of determination (R²) of 0.786 indicates that 78.6% of variations in performance can be explained by the three variables, while the remaining 21.4% is influenced by other factors outside this research model. These findings emphasize the importance of fostering job satisfaction and motivation through supportive management policies to enhance employee contributions and organizational effectiveness.

This study investigates the influence of employee engagement, digital training, and reward systems on employee productivity at the Central Statistics Agency of Kediri Regency. The research adopts a quantitative approach with a questionnaire as the primary data collection tool. A total of 33 employees participated as respondents, determined using a saturated sampling technique, which ensures that all members of the population were included. The instrument utilized was a Likert-scale questionnaire, designed to capture perceptions and experiences related to engagement, training, and rewards. The data were analyzed using multiple linear regression to measure both the partial and simultaneous effects of the independent variables on productivity. The results reveal that employee engagement plays a significant role in enhancing productivity, with a significance value of 0.003. Similarly, digital training and reward systems also exert a positive and significant influence, with significance values of 0.037 and 0.0002, respectively. When tested simultaneously, the three independent variables collectively demonstrate a substantial impact on employee productivity, as evidenced by an F-value of 76.069. Furthermore, the Adjusted R Square value of 87.6% indicates that the research model possesses strong explanatory power, meaning that most variations in productivity can be explained by employee engagement, digital training, and reward systems. These findings highlight the strategic importance of integrating engagement initiatives, continuous digital skill development, and fair reward mechanisms to foster higher levels of productivity. For organizations, particularly government institutions, the study underscores the necessity of adopting a holistic human resource development framework that addresses both intrinsic and extrinsic motivational factors to maximize employee performance.

This study aims to analyze the influence of Product Quality, Price, Sales Promotion, and Advertising on consumer purchasing decisions on the Bukalapak online store platform. This study used a quantitative approach with descriptive methods, aiming to illustrate the relationships between variables based on empirical data. Primary data were obtained by distributing questionnaires to 120 respondents who were active Bukalapak users in the West Medan District. The data analysis technique used was multiple linear regression with the aid of SPSS software to determine the effect of each independent variable on the dependent variable. The analysis results indicate that, partially, the variables Product Quality, Sales Promotion, and Advertising have a positive and significant influence on purchasing decisions. This means that the higher the product quality, the more effective the promotion, and the more attractive the advertisement, the greater the likelihood of consumers making a purchase. Conversely, the variable Price showed a negative and significant influence, indicating that inappropriate pricing can reduce purchase intention. Simultaneously, all four variables have a significant influence on purchasing decisions. The Adjusted R Square value of 70.4% indicates that this research model is able to explain 70.4% of the variation in purchasing decisions, while the dependent variable is influenced by factors outside the model. This study recommends that Bukalapak continue to improve product quality, develop competitive pricing strategies, strengthen promotions, and create creative advertising. Further research is recommended to consider additional variables such as product reviews, brand image, and service quality to enrich the analysis.

The problem in the research is that the work given exceeds the provisions of written regulations, company leaders do not pay enough attention to their employees or do not provide enough motivation to their employees, performance fluctuates from year to year because employees are less careful in their work. The aim of this research is to determine the workload and motivation of employee performance at PT. Mandiri Abadi Permai. The type of this research is quantitative. The population in this research is employees of PT. Mandiri Abadi Permai, totaling 140 respondents. Determining the number of samples using the Slovin formula was 58 respondents, while the sampling technique was carried out randomly. The data sources in this research are primary and secondary data. Then the data collection methods in this research are observation, interviews, questionnaires and documentation. Meanwhile, the data analysis technique used is multiple linear regression analysis. Multiple linear regression test results Y=8.137+0.5221+0.532X2+e. The results of the test (t) or partial test show that workload has a positive and significant effect on employee performance which can be seen from tcount 6.477>ttable 2.004 and the Motivation variable has a positive and significant effect on employee performance where it can be seen tcount 11.166>ttable value 2.004. Then simultaneously (F test), the F value is 83.947> F table 3.16. So that workload and motivation have a positive and significant effect on employee performance at PT. Mandiri Abadi Permai. The results of the coefficient of determination for the Adjusted R square value are 0.744 (74.4%). So it can be said that 74.4% of the variation in the independent variables in workload and motivation contributes to employee performance variables at PT. Madiri Abadi Permai, while the remaining 25.6% is influenced by other variables outside the model.

The problem in this study is the lack of communication between superiors and employees. There are still employees who are not disciplined in company regulations, the physical work environment at CV. Asia Mega Mas is inadequate and employee performance appraisal data has decreased from 2021-2023. The purpose of this study is to determine the effect of communication, work discipline and work environment on employee performance at CV. Asia Mega Mas.  The type of research is quantitative. The population in this study is employees of CV. Asia Mega Mas totaling 48 samples while the sampling technique uses the saturated sampling method. The sources in this study come from primary data and secondary data. The data collection method uses observation, interviews, questionnaires and documentation. The data analysis technique used is multiple linear regression. Data processing is assisted by the SPSS version 25 tool.  The results of the (t) test or partial test show that the communication variable (0.001) is greater than the alpha 5% (0.05) or t count = 3.561> t table 2.015. The work discipline variable (0.000) is greater than the alpha 5% (0.05) or t count = 4.168> t table 2.015. And the environmental variable (0.009) is greater than the alpha 5% (0.05) or t count = (-2.728)> t table 2.015. Then simultaneously the (F) test significant value F is smaller than 5% or 0.05 or the f count value = 36.243> F table 2.82. The results of the determination coefficient (R2) The adjusted R Square value is 0.692 (69.2%). So it can be said that 69.2% of the variation in communication, work discipline and environment variables in the model can explain employee performance variables, while the remaining 31.8% is influenced by other variables outside the model.

The Hungarian method is a mathematical optimization algorithm used to solve assignment problems by finding the optimal allocation of resources to tasks. This research examines the application of the Hungarian method for both balanced and unbalanced maximization assignment problems. The balanced assignment problem involves an equal number of workers and jobs, while the unbalanced problem deals with unequal numbers. The study aims to analyze the effectiveness of the Hungarian method in solving maximization problems through mathematical modeling and algorithmic implementation. The research methodology includes literature review, mathematical analysis, and computational testing using various case scenarios. Results demonstrate that the Hungarian method can effectively solve both balanced and unbalanced maximization assignment problems by converting them into minimization problems through matrix transformation. The balanced cases show direct application of the classical Hungarian algorithm, while unbalanced cases require the addition of dummy variables to achieve matrix balance. The method proves to be efficient with polynomial time complexity O(n³), making it suitable for real-world applications. The research concludes that the Hungarian method provides optimal solutions for resource allocation problems in various organizational contexts, contributing to improved operational efficiency and cost-effectiveness in decision-making processes.  

This study aims to analyze the influence of leverage (DER), free cash flow (FCF), and operational efficiency using inventory turnover (ITO), and receivables turnover (RTO) on company value, with company size as a control variable, in food and beverage sector companies listed on the Indonesia Stock Exchange for the 2018–2023 period. The method used is panel data regression with the Fixed Effect Model approach. The results of the study show that leverage has a significant negative effect, and inventory turnover has a significant positive effect on the company's value. Meanwhile, FCF and RTO had no significant effect, while company size had a negative effect. Robustness checks with PBV as proxy for alternative values showed relatively consistent results. These findings support the signal theory, that operational efficiency and a well-managed financial structure can strengthen investors' perception of a company's value.

This study aims to analyze the impact of shipping costs and prices on the behavior of consumers using Grab services in Medan City. The research employs a quantitative approach through a survey by distributing questionnaires to 99 respondents who have utilized Grab services (GrabFood or GrabExpress) in the last six months. Data analysis is conducted using validity, reliability, normality, multicollinearity, heteroscedasticity tests, multiple linear regression, t-tests, F-tests, and the coefficient of determination (R²) with the assistance of SPSS version 25 software. The results indicate that shipping costs have a positive but insignificant effect on consumer behavior (sig. 0.172 > 0.05), while price has a positive and significant effect on consumer behavior (sig. 0.000 < 0.05). Simultaneously, both variables significantly influence consumer behavior with a significance value of 0.000 < 0.05. The coefficient of determination shows that 50.8% of consumer behavior is influenced by shipping costs and prices, while the remaining percentage is affected by other variables outside the model. Based on these findings, it is recommended that Grab maintain competitive pricing and continue to innovate its services to attract more consumers.    

This study aims to examine the influence of price and store atmosphere on repurchase decisions, with customer satisfaction as a moderating variable among Beocca Coffee consumers in Malang Regency. A quantitative explanatory approach was employed, involving 130 respondents selected through purposive sampling. Data were collected via an online questionnaire and analyzed using Partial Least Square–Structural Equation Modeling (PLS-SEM). The results show that price, store atmosphere, and customer satisfaction have a positive and significant effect on repurchase decisions. However, customer satisfaction was not proven to moderate the relationship between price and repurchase decisions, nor between store atmosphere and repurchase decisions. These findings indicate that price and store atmosphere influence repurchase decisions directly, regardless of customer satisfaction levels. The practical implication is that coffee shop managers should focus on offering competitive prices and creating a pleasant store atmosphere. Although customer satisfaction does not act as a moderator, it remains a crucial direct factor affecting loyalty. Future studies are encouraged to expand the research scope geographically and include additional variables such as customer loyalty, perceived quality, or digital marketing strategies to deepen the understanding of repurchase behavior in the local coffee shop industry.