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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.

Objectives: This study aims to analyze the direct and indirect effects of Servant Leadership on lecturers’ Job Performance through the mediating variables of Job Satisfaction, Employee Engagement, and Organizational Citizenship Behavior (Organizational Citizenship Behavior). The study also seeks to identify which mediating variable has the strongest influence in explaining the relationship between leadership and performance among lecturers in private universities. Methodology: This study applies a causal quantitative approach using a survey method with a sample of 155 lecturers from Information Technology study programs at private universities in West Java. Data were collected through questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test ten research hypotheses and evaluate the mediating effects among variables. Findings: The results show that Servant Leadership has a positive influence on Job Satisfaction, Employee Engagement, and Organizational Citizenship Behavior, but does not directly affect Job Performance. Among the mediators, only Organizational Citizenship Behavior significantly mediates the relationship between Servant Leadership and Job Performance, indicating that lecturers’ voluntary behavior plays a key role in improving performance. In contrast, Job Satisfaction and Employee Engagement do not act as significant mediators. Conclusion: The findings highlight that leadership effectiveness in higher education depends on fostering Organizational Citizenship Behavior rather than relying solely on satisfaction or engagement. The study introduces the concept of Emphatic Leadership, which emphasizes empathy, accountability, and humility as essential values for leaders in academic environments. This approach offers practical insights for developing participative and humanistic leadership models to enhance lecturers’ academic performance.

Customer satisfaction and loyalty are central issues in marketing management, as both play crucial roles in ensuring business sustainability amid increasing competition. Satisfied customers tend to make repeat purchases, provide positive recommendations, and build long-term relationships with the company. Therefore, understanding the factors that influence customer satisfaction and loyalty has become an important agenda for both academics and practitioners. This study aims to address two main questions: (1) What factors influence customer satisfaction? and (2) How does satisfaction contribute to the formation of customer loyalty? The method used is a literature review, selecting articles from various online databases such as ResearchGate, Academia, and open-access journals using the keywords customer satisfaction and customer loyalty. Of the 45 identified articles, 20 were selected for in-depth analysis. The review results reveal three main trends: first, service and product quality are the most consistent determinants of satisfaction; second, price, promotion, and brand image play significant roles; and third, customer trust is an essential variable that strengthens the satisfaction–loyalty relationship. Overall, satisfaction functions as the main mediating variable in the formation of customer loyalty.

This study aims to examine and explain the influence of customer experience, service quality, and promotion on the decision to use the OVO application among Uniska Kediri students. The research applied a probability sampling method using a saturated sample approach for an unknown population, calculated through the Hair formula, and obtained 114 respondents. The data were analyzed using several statistical tests, including validity, reliability, normality, multicollinearity, heteroscedasticity, linearity, and determination (R²), processed through SPSS version 25.The research findings show that the customer experience variable does not have a significant effect on the decision to use the OVO application, with a significance value of 0.380 > 0.05 and a t-count of 0.882 < t-table of 1.981. Similarly, the service quality variable also does not significantly affect the decision to use, with a significance value of 0.833 > 0.05 and a t-count of 0.211 < t-table of 1.981. In contrast, the promotion variable has a significant positive effect on the decision to use the OVO application, with a significance value of 0.001 < 0.05 and a t-count of 3.287 > t-table of 1.981. Simultaneously, customer experience, service quality, and promotion collectively have a significant influence, with a significance value of 0.000 < 0.05 and an F-count of 6.883 > F-table of 2.69. The R² value reflects the combined effect of these variables on user decisions.

Macroeconomic indicators are essential instruments in the process of planning a country's development. Assumptions regarding inflation, unemployment, and economic growth are often used by governments to determine macroeconomic policies. Given this context, it becomes important to empirically understand the relationship among these three macroeconomic indicators in Indonesia. This study statistically examines the relationship between the variables of inflation, unemployment, and economic growth using the Vector Error Correction Model (VECM) method. The results show that inflation and the open unemployment rate significantly influence economic growth. Inflation has a positive relationship with economic growth, while the open unemployment rate has an inverse relationship with economic growth. In the short term, economic growth is significantly affected by the growth rate in the previous period (lag-1 or t-1). Meanwhile, inflation and the open unemployment rate do not statistically have a significant impact on economic growth. Shocks to inflation and the open unemployment rate are relatively not excessively responded to by economic growth.

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.

This study aims to analyze the effect of financial performance, proxied by profitability (ROA) and liquidity (CR), on firm value measured by Tobin’s Q, with capital structure (DER) as a mediating variable. The research sample consists of 18 startup companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The method employed is panel data regression analysis, with the best model selected through the Chow Test, Hausman Test, and Lagrange Multiplier Test. The findings indicate that profitability and liquidity have a significant effect on capital structure. However, profitability, liquidity, and capital structure are not proven to have a direct effect on firm value. Furthermore, capital structure does not serve as a mediating variable. These results suggest that traditional financial metrics are not the main factors in assessing startup valuation in the Indonesian capital market. Other aspects, such as growth prospects and innovation, appear to play a more dominant role in determining firm value

Inflation, unemployment, and deflation are three fundamental macroeconomic phenomena that are closely interconnected in influencing a nation’s economic stability. These variables illustrate the equilibrium between production capacity, consumption behavior, and government intervention in achieving sustainable economic growth. The main purpose of this study is to explore the interrelationship between inflation, unemployment, and deflation, and to assess their implications for Indonesia’s economic stability. This research applies a qualitative descriptive method, employing literature reviews, document analysis, and secondary data evaluation derived from credible institutions such as the Central Bureau of Statistics (BPS), Bank Indonesia (BI), and the Ministry of Finance. The results suggest that a moderate level of inflation can positively stimulate economic expansion through increased consumption and investment activities. In contrast, excessive inflation tends to erode consumer purchasing power and potentially elevate unemployment rates. Meanwhile, prolonged deflationary conditions may lead to a decline in product prices, reduced business profitability, and slower economic momentum. The interaction among these three factors is complex and dynamic, necessitating a coordinated balance between fiscal and monetary policies to safeguard overall economic stability. This study concludes that effective inflation control, job creation, and deflation prevention are critical elements in strengthening Indonesia’s long-term economic resilience.

The rapid growth of financial technology has led to the emergence of digital wallets as an efficient and practical means of payment. One of the most widely used services in Indonesia is Shopeepay, particularly among Generation z, who are known for their adaptability to new technologies. This study aims to examine to influence of perceived usefulness (X1) and perceived risk (X2) on the intention to use digital wallets (Y), with Shopeepay payment method (M) as a moderating variable. This research employed a quantitative approach by distributing questionnaires to 60 University students who actively use Shopeepay. The collected data were analyzed using multiple linier regression and Moderated Regression Analysis (MRA). The findings reveal that perceived usefulness has a positive and significant effect on the intention to use Shopeepay (sig. 0,004<0,05). Perceived risk also shows a significant effect in thr multiple regression test (sig. 0,003<0,05), but becomes insignificant when tested with MRA (sig. 0,094>0,05). This suggests that impact of risk tends to weaken when moderated by the payment methode. Furthermore, the Shopeepay payment method itself does not significantly influence user intention (sig. 0,067>0,05) collectively, perceived usefulness and perceived risk significantly affect the intention to use Shopeepay (sig. 0,001).

This research was conducted on consumers of Ultra Milk UHT milk in Pameungpeuk District, Bandung Regency. The focus of this study is to determine the influence of green marketing and brand image on purchasing decisions, both gradually and partially. This study will use descriptive and associative methods. In this study, the unit of analysis is the individual, namely consumers of Ultra Milk UHT milk in Pameungpeuk District, Bandung Regency. The sample in this study was 150 respondents. Sampling was collected using certain considerations or criteria. The sampling method used in this study was multiple linear regression analysis. In addition, the validity and reliability of the research instrument based on research findings showed that variables were partially and simultaneously influenced by green marketing and brand image on the dependent variable (purchase decisions). The influence of green marketing on purchasing decisions was 24.62%, while the influence of brand image on purchasing decisions was 59%. The influence of green marketing and brand image on purchasing decisions was 83.8%.

Digital transformation has become an essential approach for MSMEs to improve their operational efficiency and market competitiveness. This research investigates the acceptance of electronic payment systems among MSMEs using the Technology Acceptance Model (TAM). Data were obtained through questionnaires distributed to MSME respondents and analyzed using the bootstrapping technique to evaluate the significance of variable relationships. The findings reveal that Perceived Ease of Use (PEOU) has a significant impact on both Perceived Usefulness (PU) and Attitude Toward Using (ATU). Moreover, PU and ATU exert positive influences on Behavioral Intention (BI), with R² values of 0.65 for ATU and 0.71 for BI. These results suggest that the perceived ease of use and usefulness of electronic payment systems play a crucial role in shaping MSMEs’ attitudes and intentions toward adopting digital technologies. This study offers insights for formulating effective digital transformation strategies for MSMEs through the implementation of electronic payment systems.

Maritime safety is a fundamental aspect of the sea transportation system and plays a crucial role in supporting the smooth operation of trade, tourism, and community mobility between islands. Ensuring safety is not only dependent on the technical condition of vessels but also on the effectiveness of supervision and operational management at ports. This study aims to analyze the influence of ship traffic, ship document inspection, and vessel seaworthiness on maritime safety at Tanjungpinang Port. The research employed a quantitative approach, with data collected through questionnaires distributed to port officers, ship captains, and crew members, as well as field observations to strengthen empirical findings. The collected data were analyzed using SPSS software through validity tests, reliability tests, and multiple linear regression analysis to determine the relationship and contribution of each variable. The results indicate that all three variables ship traffic, document inspection, and vessel seaworthiness have a positive and significant influence on maritime safety. These findings suggest that proper ship traffic management, orderly administrative inspections, and ensuring that vessels are seaworthy play essential roles in reducing the risk of accidents at sea. This study provides practical implications for port authorities and the Ministry of Transportation, particularly in strengthening supervision systems, improving inspection quality, and enhancing maritime safety management in the Riau Archipelago region, especially at Tanjungpinang Port

Maritime safety is a crucial aspect and occupies a central position in all maritime operations, especially for Indonesia as an archipelagic country that heavily relies on sea transportation. A lack of knowledge about safety tends to result in material loss, medical issues, and loss of life, demanding extra attention as the number of maritime accidents increases. This study aims to analyze the influence of independent variables on Shipping Safety (Y) at the Tanjung Emas Semarang Port Authority Office (KSOP). The independent variables tested are Crew Resources (X_1), Telecommunication Equipment (X_2), and Pilotage (X_3). Using a quantitative approach with Multiple Linear Regression analysis on 100 respondents (operational staff and captains), the F-test results confirm that X_1, X_2, and X_3 simultaneously have a positive and significant effect on Shipping Safety. Furthermore, the T-test results show that Telecommunication Equipment (X_2) has the highest and most dominant influence compared to other variables in affecting Shipping Safety. The Adjusted R^2 value of 0.619 indicates that 61.9% of the variation in Shipping Safety can be explained by these three factors. This finding provides empirical validation emphasizing the technological imperative in modern port risk management, guiding policies toward prioritizing investment in communication devices to enhance maritime safety performance.

This study aims to analyze the significant role of leadership, motivation, work discipline, and compensation in improving employee performance at PT Kereta Api Indonesia (Persero) Daop IV Semarang. This research adopts a quantitative associative approach, providing a clear understanding of the key factors that influence employee performance. Data were collected through a Likert-scale questionnaire, which was distributed to 80 respondents who are permanent employees of Daop IV Semarang. The data analysis was carried out using SPSS version 26, which included validity and reliability tests, as well as multiple linear regression, t-test, F-test, and the coefficient of determination (R²). The results reveal that leadership, motivation, work discipline, and compensation all have a positive and significant impact on employee performance. Among these variables, motivation was found to be the most dominant factor influencing performance. This finding suggests that fostering higher motivation and effective leadership can significantly enhance employee performance. This research provides practical implications for PT KAI management to enhance productivity through strengthening discipline culture, implementing fair compensation systems, and promoting participative leadership styles.

Customer Loyalty is critically influenced by several factors, including Service Quality, Customer Trust, and Price.1 This study aims to analyze the partial and simultaneous influence of Service Quality (X_1), Customer Trust (X_2), and Price (X_3) on Customer Loyalty (Y) toward Maxim online transportation services in Semarang City.1 Utilizing a quantitative associative method, data were collected from a sample of 100 Maxim users (N=100) via incidental sampling and analyzed using multiple linear regression (SPSS).1 The analysis confirmed that all three independent variables positively and significantly influence Customer Loyalty (all t_{hitung} > 1.98498).1 Service Quality (X_1) was determined to be the most dominant factor (\beta = 0.400, t=4.500), highlighting that driver performance, service assurance, and responsiveness are the primary drivers of long-term loyalty., 10 The overall regression model demonstrated a strong explanatory power, with an estimated Adjusted R^2 of 0.650, indicating that 65.0\% of the variation in Customer Loyalty is explained by these three factors. Managerial implications suggest focusing resources on continuous service improvement and maintaining high integrity (Trust) to convert consumer satisfaction into sustainable loyalty.

This study aims to analyze the simultaneous effect of the variables of facilities, corporate image, price perception, and service quality on the increase in passenger numbers for Citilink Indonesia Airlines at Jenderal Ahmad Yani International Airport Semarang. The air transportation service sector requires a comprehensive understanding of the factors driving customer loyalty and purchasing decisions to maintain the company's competitiveness. The research method used is descriptive quantitative, with data collected from questionnaires distributed to 100 respondents who are passengers of Citilink Indonesia Airlines. Data analysis was performed using multiple linear regression, resulting in the equation Y = 0.214 + 0.205X1 + 0.171X2 + 0.337X3 + 0.144X4 + μ. The study's results show that both partially and simultaneously, facilities, corporate image, price perception, and service quality have a positive and significant effect on the increase in passenger numbers. Price perception was found to be the dominant factor, with the highest regression coefficient, followed by facilities. Managerial implications suggest that airlines and airport operators focus on setting competitive prices and improving facilities to sustain passenger growth.

The main objective of this research is to analyze the simultaneous and partial influence of helmet use behavior, vehicle condition, and traffic discipline on driving safety levels on the Pandanaran Road Section, Boyolali Regency. High motorcycle usage in Indonesia contributes significantly to high accident rates, where human, vehicle, and regulatory factors are crucial elements that need in-depth assessment. The study employs a quantitative approach with a survey method, involving 100 motorcycle riders crossing the road using the Incidental Sampling technique. Data was analyzed using Multiple Linear Regression. The results indicate that all three independent variables (helmet use behavior, vehicle condition, and traffic discipline) have a positive and significant influence on driving safety. The vehicle condition variable was identified as the most dominant factor affecting driving safety, with a regression coefficient of 0.397. Overall, these three variables contribute 47.4% to driving safety. The implication of this finding emphasizes the importance of policy intervention that focuses not only on behavior but also on the supervision of vehicle technical roadworthiness.

The rapid development and population growth in Bekasi Regency, Indonesia, have resulted in increasing traffic density and a corresponding rise in road traffic accidents (RTA), particularly along the critical 28 km Kalimalang Inspection Highway, locally known as "Jalur Tengkorak." This study aims to analyze the simultaneous and partial influence of Vehicle Factors (X1), Human Factors (X2), and Road Physical Condition Factors (X3) on RTA (Y). A quantitative descriptive approach utilizing Multiple Linear Regression (MLR) was employed, based on primary data collected through questionnaires from 100 motorcycle riders and secondary data from Polresta Bekasi (2022). The findings confirm that all three variables significantly and positively influence RTA, resulting in the model \hat{Y} = 2.218 + 0.302 X1 + 0.161 X2 + 0.289 X3 + \mu. The adjusted coefficient of determination (R^2) is 0.514, indicating that 51.4\% of RTA variation is explained by these factors. Crucially, the Road Physical Condition Factor (X3) emerged as the strongest predictor (t=4.429, \beta=0.385), surpassing the traditional dominance of human error. This key finding suggests that mitigation strategies must prioritize urgent infrastructure repair addressing potholes, road waves, and insufficient markings to significantly reduce accident frequency in this corridor.

This study aims to analyze the impact of facilities, security, and services of the Syahbandar office on the satisfaction of fishermen at the Pantai Fishing Port (PPP) Tegalsari, Tegal City. The research method used is a quantitative approach with an associative model, where data is collected through a questionnaire distributed to 100 fishermen operating at PPP Tegalsari. Data analysis is performed using SPSS version 26 with validity and reliability tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²). The results show that, simultaneously, the variables of facilities, security, and services have a positive and significant impact on fishermen’s satisfaction. Partially, the service variable has the most dominant influence on fishermen’s satisfaction compared to the facilities and security variables. This indicates that improving the quality of services at the Syahbandar office, providing adequate port facilities, and ensuring security at the port are key factors in creating fishermen’s satisfaction. This study is expected to provide input for port managers to enhance public service quality in the fisheries sector and promote policies that better address the needs and comfort of fishermen in their activities at the port.

Shipping safety is an essential prerequisite in global and domestic maritime operations. However, ship accident incidents remain an annual vulnerability, often caused by suboptimal safety systems. This study aims to analyze the partial effects of the Implementation of the International Safety Management (ISM) Code (X1), the Implementation of Shipping Navigation Aids (SBNP) (X2), Master's Responsibility (X3), and Crewing (X4) on Shipping Safety (Y) at Gresik Public Port, East Jawa. The method used is descriptive and quantitative analysis with multiple linear regression. The research population consists of ship crew members at Gresik Port, with a sample of 100 respondents selected through the Quota Sampling technique. The results of the regression analysis show the equation Y = -1.480 + 0.293X1 + 0.314X2 + 0.187X3 + 0.311X4 + \mu. The partial hypothesis test (t-test) confirms that all independent variables have a positive and significant effect on Shipping Safety. The most dominant variable influencing Shipping Safety is SBNP Implementation (X2) with a coefficient of 0.314, followed closely by Crewing (X4) with a coefficient of 0.311. The Coefficient of Determination (R^2) is 0.685, indicating that 68.5% of the variation in Shipping Safety is influenced by these four variables. These findings underscore the importance of investing in technology-based navigation infrastructure and enhancing the competence of maritime human resources in high-traffic operational areas.