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This study aims to analyze the influence of Service Quality, Price Perception, and Trust on the User's Interest in the ferry service of KMP Gili Iyang on the Paciran-Bawean route operated by PT. ASDP Indonesia Ferry (Persero) Cabang Paciran. This route plays a critical role as an essential logistics and social link for Bawean Island. The quantitative research used a survey method with an Incidental Sampling technique, involving 100 respondents who are users of the service. The collected data were analyzed using Multiple Linear Regression with SPSS V25. The partial hypothesis test results (t-test) show that Service Quality (β=0.80; p=0.033), Price Perception (β=0.69; p=0.038), and Trust (β=0.587; p=0.000) individually have a positive and significant impact on the User's Interest. The Trust variable was found to be the most dominant predictor, emphasizing the importance of integrity, competence, and operational consistency in essential and high-risk maritime transportation services. The adjusted R-squared value of 60.% indicates that this model provides a strong explanation for the variation in User's Interest. This study provides important implications for managing ferry services by improving service quality, competitive pricing, and building customer trust to increase user interest.

This research aims to analyze the partial and simultaneous influence of four independent variables—Ticket Price (X_1), Service Quality (X_2), Customer Trust (X_3), and Promotion (X_4)—on Ship Ticket Purchase Decisions (Y) at PT. PELNI Semarang Branch. Utilizing an associative quantitative method with a sample of 100 passenger respondents (N=100), the data were analyzed using multiple linear regression (SPSS 22.0). The model demonstrated a strong explanatory power, accounting for 55.7% of the variation in purchase decisions (Adjusted\ R^2 = 0.557). The t-test results indicate that all independent variables have a positive and significant influence on Purchase Decisions (all t_{hitung} > 1.9853). The Promotion variable (X_4) showed the strongest individual influence (\beta = 0.282, t=4.777), highlighting the critical nature of effective information dissemination and communication strategies in attracting and guiding mass maritime consumers. Customer Trust (X_3) and Service Quality (X_2) also proved highly significant, affirming the essential role of State-Owned Enterprise (BUMN) integrity and service reliability in mitigating perceived maritime travel risks. Managerial implications suggest PT. PELNI prioritizes enhancing Promotion through digital media and maintaining the fairness of Price setting, which remains a key consideration for this market segment.

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.

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.

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

The rapid advancement of artificial intelligence, particularly Generative AI, has transformed the landscape of digital marketing by enabling firms to produce promotional content that is adaptive and personalized in real time. This study aims to examine the influence of Generative AI on real-time ad personalization and its subsequent impact on consumer loyalty. In addition, the study investigates the mediating role of real-time ad personalization in the relationship between Generative AI and consumer loyalty. A quantitative research approach with an explanatory research design was employed. Data were collected through questionnaires distributed to users of digital platforms who had previously received personalized advertisements. The data were then analyzed using Structural Equation Modeling (SEM). The findings are expected to demonstrate that Generative AI has a positive effect on both real-time ad personalization and consumer loyalty, and that real-time ad personalization functions as a mediating variable that strengthens this relationship. The results of the study are anticipated to contribute theoretically to the growing body of literature on AI-driven digital marketing. Moreover, the findings may serve as practical guidance for companies in designing more relevant, adaptive, and sustainable marketing communication strategies.

This research aims to analyze the influence of Deep Learning on problem-solving skills, digital literacy, and student learning outcomes. The background of this research is based on the educational needs of the 21st century, which require students' critical thinking skills, adequate digital literacy, and optimal academic achievement. This research was conducted quantitatively using a quasi-experimental method. The study involved 121 tenth-grade students, and the total sampling method was used to select the research sample. The research instruments consist of questionnaires on the Deep Learning approach to problem-solving skills, digital literacy, and learning outcomes tests. Data analysis using the MANOVA test to determine the partial and simultaneous influence of Deep Learning on the dependent variables. The research results show that Deep Learning has a significant effect on students' problem-solving skills, digital literacy, and learning outcomes, both partially and simultaneously. The results indicate that the application of Deep Learning can improve students' higher-order thinking skills and prepare them to face the challenges of the digital era. Therefore, to achieve sustainable improvement in learning processes and outcomes, teachers and educational institutions must integrate this approach into their teaching strategies.

This study aims to evaluate the factors influencing passengers’ interest in purchasing tickets for the KM. Kirana 1 ship on the Sampit route. In the era of increasing competition in maritime transportation, understanding consumer interest factors is essential for shipping companies to enhance their marketing strategies and stay competitive. This research employs a quantitative approach using a survey method involving passengers of KM. Kirana 1. The variables examined in this study include price, service quality, promotion, and perceived comfort, which are considered key determinants in customer decision-making. Data were analyzed using SPSS to test validity, reliability, and the relationships among these variables. The results indicate that price, service quality, and comfort significantly affect passengers’ interest in purchasing tickets, while promotion has an insignificant effect. These findings provide practical implications for shipping management to improve service quality, comfort, and pricing strategies to maintain customer satisfaction and loyalty, which are critical in the highly competitive maritime industry.

This study aims to analyze the interest of residents of Semarang City in using the Trans Jateng service and to identify the factors that influence this interest. The background of this study is the low proportion of residents switching to public transportation despite the availability of the Trans Jateng service. This research adopts a quantitative approach, utilizing a survey method to collect data, which is then processed using SPSS software. The results of the study indicate that factors such as service quality (including service, comfort, and safety), fare perception, and stop access significantly influence the interest of residents in using Trans Jateng. These findings are valuable for understanding the factors that drive the adoption of public transportation in urban areas. The novelty of this study lies in its specific focus on Semarang City and the integration of resident interest variables with the relatively new Trans Jateng service in the region. The study’s implications offer practical recommendations for public transport operators to improve fare policies, enhance promotional strategies, and optimize modal integration to encourage greater use of public transportation.

This research is motivated by the dynamics of the layer chicken egg supply in Tabanan Regency. The purpose of this study is to analyze the factors that have the effect on the supply of layer chicken eggs, particularly the policy of banning the use of Antibiotic Growth Promoters (AGP), the number of layer chicken breeders, and the selling price of layer chicken eggs. The research method used is quantitative analysis with a multiple linear regression approach, using primary data obtained through questionnaires distributed to 101 layer chicken farmers in Tabanan Regency and analyzed with the assistance of EViews 12 software. The results show that the policy variable of banning the use of AGP has a negative and significant effect on the supply of layer chicken eggs. In contrast, the number of layer chicken breeders and the selling price of layer chicken eggs have a positive and significant effect on the supply. The coefficient of determination (R²) value of 0,316 indicates that the three independent variables are able to explain 31,6% of the variation in the supply of layer chicken eggs, while the remaining variation is affected by other factors outside the research model.

Poverty is a complex and multidimensional problem. It can be characterized as a condition in which there is a lack of aspects related to the quality of life. North Sumatra Province is known as one of the richest provinces in Indonesia with abundant natural resources and agricultural products such as petroleum, natural gas, palm oil, rubber, and forest products used as industrial materials. However, it still ranks among the provinces with the highest poverty rates in Indonesia. This study aims to analyze the effect of unemployment rate, economic growth, and Human Development Index (HDI) on poverty in 14 districts/cities of North Sumatra Province during the 2016–2023 period. The analytical method used is panel data regression with the Fixed Effect Model (FEM) approach. The results of this study indicate that simultaneously, the three independent variables have a significant effect on poverty. Partially, unemployment has a positive and significant effect, while economic growth and HDI have no significant effect on poverty.

This paper applies the Gamma Regression Model to determine the probability of newborns in the Diyala Province developing neonatal jaundice, or hyperbilirubinemia. This disease is prevalent, and it may be severe due to the large amount of unconjugated bilirubin in the blood. The aim of the study was to test the relationship between the levels of bilirubin and a set of independent variables, including the weight of birth, gestational age, and the proportion of red blood cells (PVC). 67 worth of data regarding neonatal cases was collected, and the outcome was that the model fitted well. The findings further indicated that whereas the influence of PVC was significant and positive on the bilirubin level, lower gestational age and less weight at birth had significant negative influence. As the results of the study indicate, the Gamma Regression Model is an effective tool to assess medical data and predict critical scenarios, which assists a clinician with the timely and accurate decision-making.

This study aims to develop and evaluate an adaptive hybrid weather prediction model that combines pattern classification techniques with a deep learning approach to improve forecasting accuracy, especially for extreme weather events. Using a quantitative-based Research and Development (R&D) approach, this study utilizes ten years of daily rainfall time series data from the Juanda Meteorological Station. The method developed comprises three main phases: weather pattern classification using K-Means clustering to separate normal and extreme patterns; development of a specialist prediction model using SARIMA for seasonal patterns and LSTM for non-linear patterns; and integration of both models into a single adaptive framework. The results show that the adaptive hybrid model performs significantly better than the single model, with a Mean Absolute Percentage Error (MAPE) of 8.76% and a Root Mean Square Error (RMSE) of 9.13%. The main contribution of this study is the development of an intelligent, accurate prediction framework with strong potential for integration into the national early warning system, thereby supporting more effective disaster mitigation efforts in Indonesia. Further research is recommended to validate the model in various regions and add additional climate variables to improve prediction accuracy.

This study aims to determine the relationship between leverage, profitability, and company size on the possibility of financial distress of companies in the textile and garment industry listed on the Indonesia Stock Exchange (IDX) for the period 2022-2024. Several companies were selected using purposive sampling, based on categories determined by the author, such as the availability of data on each company and other relevant factors. The calculations used to analyze the financial difficulties of companies include the Altman Z-score and Zmijewski models, which will then serve as proxies for the dependent variable of financial distress. The results show that the relationship between the independent variables and the dependent variable differs between the models applied. The Altman Z-score model showed results that were more consistent with theoretical expectations, indicating a more robust measure of financial distress in this context. These findings highlight the importance of choosing appropriate models for analyzing financial distress in the textile and garment sector.

This study aims to evaluate the influence of Green Finance, Profitability, and Capital Structure on Firm Value in the mining sector listed on the Indonesia Stock Exchange (IDX) during the period 2019 to 2023. The research is motivated by the growing importance of sustainability and financial management strategies in enhancing corporate competitiveness in an increasingly globalized market. A quantitative approach was employed using multiple linear regression analysis, with 22 companies selected through purposive sampling. The findings indicate that, simultaneously, the three independent variables have a significant effect on firm value. Individually, Green Finance and Capital Structure have a positive and significant influence, while Profitability does not show a significant impact. Capital Structure is found to be the most dominant factor affecting firm value, followed by Green Finance. This suggests that companies with sound capital management and strong commitment to sustainability practices are more valued by the market. This research contributes to both theoretical and practical perspectives in financial management, particularly in understanding how financing strategies and sustainability efforts influence market valuation. The findings also recommend that mining companies strengthen their integration of ESG principles and enhance financial efficiency to support long-term value creation and competitiveness

This study analyzes the implementation of ESG (Environmental, Social, and Governance) reporting on the firm value of PT Indofood Sukses Makmur Tbk during the 2020-2024 period. The main issues examined are how ESG reporting is implemented and the extent of its influence on firm value, as well as which ESG component has the most significant impact. The research method employs a quantitative approach with a causal comparative design, utilizing secondary data sourced from annual reports, sustainability reports, and market data over five years. Firm value is proxied using Tobin's Q ratio, while the level of ESG disclosure is measured based on the GRI Standards framework. Data analysis techniques use multiple linear regression by incorporating control variables including firm size, profitability (ROA), and leverage to enhance result validity. The research findings indicate that ESG reporting has a positive and significant effect on firm value with a coefficient of β = 0.018 and p < 0.001, with a model predictive capability (R²) of 87.3%. Indofood's ESG Score experienced substantial improvement from 56.3% in 2020 to 78.9% in 2024, accompanied by an increase in Tobin's Q from 0.982 to 1.523. Component-wise analysis reveals that the Social aspect provides the highest impact (β = 0.009), followed by Governance (β = 0.007) and Environmental (β = 0.006). These findings provide empirical support for stakeholder theory and resource-based view in the Indonesian emerging market context.

This study aims to determine the effect of advertising and promotion on consumer purchasing decisions at Lazada online store. The type of research used is causal quantitative with the study conducted in Bogor City over six months (December 2019–May 2020). The population of this research is all Lazada consumers in Bogor, with an unknown total number, while the sample was taken using accidental sampling technique with 100 respondents. Data were analyzed using multiple linear regression. The results show that: (1) partially, advertising has a significant effect on purchasing decisions (tcount 7.423 > ttable 1.984; sig. 0.000 < 0.05), while promotion has no significant effect (tcount 1.718 < ttable 1.981; sig. 0.089 > 0.05); (2) simultaneously, advertising and promotion have a significant effect on purchasing decisions (Fcount 27.791 > Ftable 2.696; sig. 0.000 < 0.05); (3) the adjusted R² value is 0.351, indicating that 35.1% of purchasing decisions are influenced by advertising and promotion, while the remaining 64.9% are influenced by other factors not examined; (4) the most dominant variable is advertising, with a regression coefficient of 0.594.

The rapid development of financial technology has transformed transactional behavior, particularly among Generation Z. Easy access through mobile banking, particularly BCA Mobile, has made financial activities more practical but also poses risks of consumptive behavior due to low financial literacy and self-control. This study aims to analyze the influence of Financial Literacy, Lifestyle, and Locus of control on Financial Behavior, with Financial technology as a moderating variable. The research population consists of Generation Z users of BCA Mobile in Surabaya. A total of 147 respondents were selected using purposive sampling based on specific criteria. Data were collected through questionnaires and analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach. The findings show that Financial Literacy and Locus of control have a significant positive effect on Financial Behavior, while Lifestyle has a significant negative effect. Furthermore, Financial technology is proven to moderate the influence of Financial Literacy and Locus of control on Financial Behavior, but not the relationship between Lifestyle and Financial Behavior.  

This study investigates the influence of service quality and product quality on marketing performance, with market penetration and product innovation serving as intervening variables in expedition companies. Guided by the Service-Dominant Logic (SDL) framework, the research underscores the role of value co-creation between companies and customers in driving competitive advantage. Using a quantitative approach, data were collected from employees involved in operational and marketing functions and analyzed through Structural Equation Modeling (SEM). The findings indicate that service quality and product quality do not significantly affect market penetration. Conversely, market penetration positively influences product innovation, which in turn strongly enhances marketing performance. However, when not managed effectively, market penetration can negatively impact marketing performance. These results highlight the need for companies to adopt integrated and innovative strategies that align with customer value creation to achieve sustainable improvements in marketing performance within the expedition industry.

This study discusses the influence of six fraud hexagon models: pressure, opportunity, rationalization, capability, arrogance, and collusion on fraudulent financial reporting (FFR) practices in the Indonesia banking sector. In addition, this study analyzes the role of corporate governance mechanisms measured by the audit committee, managerial ownership, and institutional ownership as moderating variables. The sample consists of 43 banking companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2023 period, with a total of 172 observations. Data analysis was conducted using WarpPLS 8.0. The results indicate that rationalization, capability, and arrogance have a significant positive effect on FFR, while pressure, opportunity, and collusion show no significant effect. The audit committee, managerial ownership, and institutional ownership also do not have a direct effect on FFR. However, these three variables act as moderators: the audit committee moderates the relationship between collusion on FFR, managerial ownership moderates the relationship between capability on FFR, while institutional ownership moderates the relationship between pressure and opportunity on FFR. This finding emphasizes the importance of effective corporate governance as an instrument to reduce the risk of FFR in the banking sector.