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The emergence of Large-Format Printing (LFP) technology has transformed global visual communication by enabling the production of large-scale, high-quality printed materials, significantly influencing Nigeria’s graphic design industry. This study aims to examine the impact of LFP on graphic design practice (GDP) in 21st-century Nigeria and propose strategies for sustainable development while addressing emerging challenges. A mixed-method approach was employed, with a primary qualitative focus through interviews and participant observation, supported by quantitative data collected using a Likert-scale questionnaire to assess designers’ perceptions of LFP’s influence. The findings reveal a dual impact. On the positive side, LFP has enhanced design scale, print quality, creative flexibility, and production efficiency, effectively overcoming the limitations of earlier methods such as letterpress printing, manual clamp offset printing, and hand-painted signboards. However, several challenges persist, including the oversaturation of practitioners, increased design piracy, and issues of color inconsistency, which undermine quality outcomes. These challenges highlight gaps in professional standards and regulation within the industry. The study concludes that while LFP has driven innovation and growth in Nigeria’s graphic design sector, its optimal benefits are constrained by the proliferation of unaccredited freelance designers. Therefore, the study recommends the implementation of targeted training programs and stricter professional accreditation systems through relevant regulatory bodies to ensure sustainable development and maximize the transformative potential of LFP technology.

This research is motivated by the vital role of clean water services and the need to optimize operational revenue at BLUD UPT Water Supply Management in Batam City. The study aims to analyze the influence of willingness to pay, ability to pay, and payment awareness on BLUD revenue achievement. A quantitative associative approach was employed, involving a population of 29,047 customers. A sample of 100 respondents was determined using the Slovin formula, and data were analyzed via multiple linear regression using SPSS software. The results indicate that, simultaneously, all three independent variables significantly affect revenue achievement with an F-value of 56.825 and a significance of 0.000. Partially, willingness to pay (t=8.279), ability to pay (t=11.020), and payment awareness (t=10.435) also exert a significant influence. These findings imply that higher community payment behavior directly increases institutional revenue. It is recommended that BLUD improves service quality and payment socialization to ensure sustainable revenue achievement.

This study seeks to examine the influence of brand image, product innovation, and lifestyle on purchasing decisions for iPhone smartphones among residents of Patumbak Village, Dusun V, Deli Serdang. Specifically, it aims to analyze the individual effect of brand image on purchasing decisions, the effect of product innovation on purchasing decisions, and the effect of lifestyle on purchasing decisions, as well as their combined impact. The research employs a descriptive quantitative approach, utilizing questionnaires, interviews, and documentation as data collection techniques. The population consists of 740 residents of Patumbak Village, Dusun V, and the sample of 88 respondents was determined using non-probability sampling with the Slovin formula. The collected data were processed and analyzed through multiple linear regression analysis using SPSS version 26.0. The findings indicate that the calculated F value (205.841) exceeds the F table value (2.71), demonstrating a significant simultaneous effect of brand image, product innovation, and lifestyle on purchasing decisions. Partially, brand image (t = 2.885), product innovation (t = 2.491), and lifestyle (t = 5.570) each show t-values greater than the t table value (1.662), confirming their significant individual influence. Furthermore, the coefficient of determination (R²) of 0.570 reveals that 57% of the variation in purchasing decisions is explained collectively by the three independent variables.

This study aims to determine the influence of price, product quality, and service quality on customer satisfaction at Salon Natayu. The approach used was quantitative, with data collection techniques through questionnaires distributed to Salon Natayu customers, with a total of 53 respondents (using census techniques). The data were analyzed using multiple linear regression analysis with the help of SPSS version 20. The results of the study show that the three independent variables (price, product quality, and service quality) simultaneously have a positive effect on customer satisfaction. However, partially, the price variable has the most dominant influence on customer satisfaction. The conclusion of this study shows that price is the most influential factor on customer satisfaction, followed by service quality, while product quality has the least influence. These findings indicate that a competitive pricing strategy is a crucial aspect for Salon Natayu in maintaining and improving customer satisfaction. In addition, continuous improvement of service quality is also necessary to create a better customer experience. This research is expected to be a reference for salon managers in formulating more effective marketing strategies as well as for future research that examines the factors that affect customer satisfaction in the beauty services industry.

The Indonesian Civil Servants Cooperative (KPRI) plays an important role in enhancing member welfare and supporting the national economy. Nevertheless, increases in business volume and own capital do not necessarily translate into higher profitability, while the number of members an essential characteristic of cooperatives is also assumed to influence financial performance. This study aims to examine the effect of business volume and own capital on cooperative profitability, with the number of members acting as a mediating variable. A quantitative approach was employed using secondary data derived from the financial statements of KPRI in Bogor City during the 2020–2024 period. Purposive sampling was applied, resulting in 12 cooperatives with a total of 60 observations. Panel data regression analysis was conducted using EViews software, and mediation effects were tested using the Sobel test. The results indicate that business volume has a positive and significant effect on cooperative profitability, whereas own capital does not show a significant influence. The number of members has a negative and significant effect on profitability. Furthermore, the Sobel test confirms that the number of members does not mediate the relationship between business volume or own capital and cooperative profitability. These findings suggest that enhancing business activities and improving the quality of member participation are more critical for increasing cooperative profitability than merely expanding capital or membership size.

This study analyzes the influence of Islamic business ethics principles on online buying and selling transactions in the predominantly Muslim community of South Sumatra. Using a quantitative approach through a survey of 200 respondents in Palembang with a Likert scale questionnaire, the data were analyzed using multiple linear regression with SPSS 26. The results showed that the principle of honesty (sidq) had the strongest significant influence (β = 0.029, p = 0.002), followed by unity (tawhid) (β = 0.016, p = 0.049), while other principles such as balance, free will, and responsibility showed a positive but insignificant influence. The regression model explained 10.3% of the variation in transaction behavior (R² = 0.103). This study concluded that the application of Islamic ethics can increase trust and sustainability in e-commerce in the region, with implications for the development of halal businesses. In the future, the application of these principles is expected to mitigate ethical issues in e-commerce, such as fraud and uncertainty that often occur, as well as strengthen transparency and fairness in online transactions.

This study analyzes the impact of artificial intelligence on youth digital political engagement through a Structural Equation Modeling approach. The development of algorithmic technology has changed the way young people access, assess, and react to political information, requiring an empirical understanding of its mechanisms of influence. This study explores how digital literacy, trust in AI, and perceived usefulness shape online political participation. Data was obtained from an online questionnaire targeting individuals aged 17-30 who are active with AI, then analyzed using the SEM-PLS 4 method. The main findings reveal that digital literacy and trust in AI have a strong influence on perceived usefulness, which acts as a key mediator in encouraging such participation. This indicates that the impact of AI is not direct, but rather occurs through cognitive processes that guide young people in assessing the benefits of technology. The implications of this research emphasize the importance of strengthening digital literacy, algorithm transparency, and responsible AI implementation to strengthen inclusive youth political participation in the digital environment.

Abortion remains a complex reproductive health issue due to the interplay of multiple interrelated determinants. This study aimed to map the factors influencing the incidence of abortion based on recent scientific evidence. A literature review design was applied by analyzing ten selected articles published within the last five years and retrieved from major scientific databases. The selection process was conducted systematically through title, abstract, and full-text screening based on predefined inclusion criteria. The extracted data included study characteristics, type of abortion, examined determinants, and key conclusions. The synthesized findings indicate that abortion incidence is shaped by a combination of biological, social, and healthcare system related factors. Clinical determinants such as maternal age, endocrine disorders, uterine anatomical abnormalities, obstetric history, anemia, and hypertension play a substantial role in spontaneous and recurrent miscarriage. In contrast, structural factors including income level, contraceptive access, and legal regulations predominantly influence induced abortion. The discussion highlights that abortion should not be viewed as an isolated clinical event, but rather as the cumulative outcome of risks operating across multiple levels of influence. In conclusion, abortion represents a multifactorial phenomenon that requires comprehensive prevention strategies extending beyond medical interventions alone. These strategies should also address healthcare accessibility and broader social conditions. This review contributes to a deeper understanding of the complexity of abortion determinants and provides an evidence-based reference for developing more effective preventive approaches in the future.

This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure, Return on Assets (ROA), and Enterprise Resource Planning (ERP) on tax avoidance in energy sector companies listed on the Indonesia Stock Exchange during the 2021–2024 period. This research employs a quantitative approach using secondary data obtained from annual reports and sustainability reports. The sample was selected using a purposive sampling technique, resulting in 112 observations. Multiple linear regression analysis was conducted using Stata 16 software. The empirical results indicate that ESG, ROA, and ERP simultaneously have no significant effect on tax avoidance. Partially, each independent variable also shows no significant influence. These findings suggest that ESG implementation and ERP adoption have not directly affected corporate tax behavior, while profitability is not a primary determinant of tax avoidance in the energy sector. This study contributes to the existing literature by incorporating ERP as a novel variable in tax avoidance research, providing additional insight into the role of integrated information systems in corporate taxation practices.

This study aims to analyze the effect of asset growth, capital structure, and asset structure on the profitability of PT Astra Graphia Tbk during the period 2016–2023. The research employs a quantitative approach with a causal research design using secondary data derived from the company’s quarterly financial statements. A total of 32 quarterly observations were selected through purposive sampling. Profitability is measured using Return on Equity (ROE), while data analysis is conducted using multiple linear regression. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroskedasticity, and autocorrelation tests were performed to ensure the robustness of the regression model. The results indicate that asset growth, capital structure, and asset structure simultaneously have a significant effect on firm profitability. However, partially, only asset structure has a significant effect on profitability, while asset growth and capital structure show no significant influence. These findings suggest that efficient asset composition plays a more critical role in improving profitability than mere asset expansion or increased leverage. The managerial implication of this study highlights the importance of optimizing asset structure to enhance the firm’s ability to generate sustainable profits.

Balikpapan City, as one of the economic centers in East Kalimantan, plays an important role in the development of Micro, Small, and Medium Enterprises (MSMEs). The Goetji, as one of the MSMEs engaged in the beverage industry, faces significant challenges and opportunities in improving its performance and competitiveness. This study aims to analyze the influence of employee work motivation, corporate culture, and corporate atmosphere on business production and economic growth in Balikpapan City. The research method used is a quantitative approach with statistical analysis to measure the relationship between the variables studied. Data was collected through a survey involving The Goetji employees and analyzed using regression analysis to identify the significance of each factor's influence. The results show that employee motivation has a significant effect on the development of The Goetji SMEs, with a significance value of 0.000, indicating a strong relationship. In addition, a positive corporate culture and a supportive corporate atmosphere also contribute to increased productivity and product quality. This positive impact is not only seen in The Goetji's internal performance but also contributes to local economic growth by creating jobs and increasing regional income. This study concludes that strengthening work motivation and a positive corporate culture are key to improving the performance of MSMEs, which in turn contributes to the economic growth of Balikpapan City. Recommendations are provided to continue developing strategies that support these two aspects in order to achieve greater sustainability and growth

Rapid technological advancements have encouraged smartphone sellers to emphasize good product quality to meet customer needs in order to achieve customer satisfaction and repurchase intentions. A positive brand image and good perceived value are important factors in building customer satisfaction, which ultimately impacts repurchase intentions. This study aims to examine the influence of product quality, brand image, and perceived value on customer satisfaction and thus increasing repurchase intentions. The study was conducted in Jakarta with a descriptive causality design through a quantitative approach and purposive sampling technique. Data were obtained from 131 respondents who have used an iPhone. The conceptual model analysis was conducted using the Structural Equation Modeling method. The results show that product quality, brand image, and perceived value significantly increase customer satisfaction. Furthermore, customer satisfaction has been shown to encourage repurchase intentions. In addition, product quality, brand image, and perceived value each have a positive influence on repurchase intentions through the mediation of customer satisfaction. Thus, all hypotheses of this study are proven to have a positive influence. The contribution of this research is expected to provide understanding for producers in developing their business, as well as being a reference for developing marketing strategies that emphasize improving product quality, building a strong brand image, managing value perceptions, and increasing customer satisfaction in order to attract consumer interest in repeating the same product.

This study analyzes the effect of Total Asset Turnover, Debt to Equity Ratio, and Return on Assets on earnings management in mining companies listed on the Indonesia Stock Exchange during 2020–2024. Using a quantitative and causal research design, the study examines 18 purposively selected companies over five years, resulting in 90 observations. Data were analyzed through panel data regression using SPSS 26. The results show that Total Asset Turnover does not significantly affect earnings management, while Debt to Equity Ratio and Return on Assets have a significant influence. These findings indicate that profitability and leverage play important roles in shaping earnings management practices in the mining sector

This study investigates the simultaneous and individual effects of School-Based Management (SBM), principal supervision, transformational leadership, and work culture on the performance of junior high school teachers in Serang City, Indonesia. Against the backdrop of the Merdeka Curriculum and the shift to hybrid learning in the post-pandemic era, the research addresses persistent challenges such as hierarchical school cultures and technological disparities. Employing a quantitative ex post facto approach, data were collected from 316 teachers across public and private schools through structured questionnaires, classroom observations, and document analysis. Multiple linear regression analysis reveals that SBM, principal supervision, transformational leadership, and work culture each have significant and positive impacts on teacher performance, with transformational leadership and work culture exerting the most substantial influence. The results demonstrate that 74% of the variance in teacher performance can be explained by these four organizational factors, underscoring their critical role in shaping pedagogical competence, classroom management, and professional development. The study further highlights the necessity for comprehensive managerial training, the integration of technology in supervisory practices, and the cultivation of collaborative and innovative work cultures. Practical recommendations include enhancing principal leadership capacity, fostering instructional supervision, and investing in digital infrastructure to support sustainable improvements in teacher performance. The findings contribute to the body of knowledge on educational management in Indonesia and offer actionable insights for policymakers, school leaders, and educators aiming to strengthen teacher effectiveness amidst ongoing educational reforms and digital transformation.

In the textile industry, quality control is a crucial aspect to ensure the stability and consistency of production results. One of the important stages in yarn production is the warping process, which has a significant influence on the quality in the subsequent process. This study aims to apply the Statistical Process Control (SPC) method to assess the quality of 40 CD KNB yarn in the warping process in the GKBI PC company, Preparation Department, and determine whether the process is already in a controlled condition. Currently, the average quality and amount of monthly yarn production show fluctuations with a downward trend of 1.64 per 5,000,000 meters in the period February–July 2024. This figure is below the company's daily production target of 1.00 per 5,000,000 meters, so the target has not been achieved. This discrepancy indicates the need for a more systematic evaluation and improvement of the quality control system. Based on the analysis of the X-Bar control chart in January 2025, two data points were found outside the control limits (UCL = 176.8; LCL = -29.5; average = 73.6), ie on January 4 and 20. The main cause of such uncontrollability is the weak yarn that comes from the rewinding process. Check sheet analysis and Pareto diagram shows that the most common factors causing thread breakage are weak threads. Furthermore, through the cause-and-effect diagram (fishbone diagram), it was identified that the factors that cause thread breakage come from four categories: human (HR), material (raw material), environment, and machine. Of the four factors, human resources and material aspects are the biggest contributors to influence. Therefore, it is recommended that quality control at PC GKBI be strengthened through training and counseling programs to employees, in order to improve skills and awareness of the importance of quality. This step is expected to reduce the rate of yarn breakage, maintain the stability of the production process, and ensure consistent achievement of company targets.

This study aims to analyze the factors influencing passenger satisfaction at airports through three main perspectives: service, technology, and operations. The background of this research is based on the increasing competition between airports in providing an optimal travel experience amidst the development of the aviation industry and the increasing passenger demands for service quality. This study uses a literature study approach by analyzing ten selected scientific journals that specifically discuss airport service quality from various perspectives. The results of the study indicate that the service perspective, specifically those encompassing SERVQUAL dimensions such as reliability, responsiveness, empathy, assurance, and tangibles, has a significant contribution in shaping the perception and satisfaction of airport service users. The technology perspective also plays a significant role, particularly through the implementation of self-services such as self-check-in, Flight Information Display Sistem (FIDS), e-gates, and digital service applications that simplify the travel process. One of the studies analyzed shows that the application of technology can contribute up to 96.8% to user satisfaction, indicating the significant role of digitalization in this industry. From the operational side, factors such as speed of service at the check-in counter, queue time management, completeness and cleanliness of public facilities, and ease of access to the terminal have an equally important influence. These findings underscore that passenger satisfaction is influenced not only by service quality at the point of direct interaction, but also by the smoothness of the overall operational flow. The study's conclusions emphasize the importance of integrating these three perspectives in strategic planning for airport service improvement.

This research is motivated by the high rate of early marriage in Pamatan Village, which is a serious social issue and impacts the quality of life of the younger generation. This phenomenon is thought to be influenced by various social factors, including parental education level (X₁), family economic status (X₂), and school dropout rate (X₃). The purpose of this study is to analyze the influence of these three independent variables on the decision to marry early (Y). This study uses an explanatory quantitative approach with an ex post facto design, where the researcher does not intervene on the variables, but rather analyzes the relationships that have occurred. The analysis technique used is multiple linear regression. Data were collected through questionnaires to 100 respondents selected using a purposive sampling technique, namely teenagers or families with a history of early marriage. The results of the analysis show that simultaneously the variables of parental education, economic status, and school dropout rate have a significant influence on the decision to marry early with a calculated F value of 139.302 which is greater than the F table of 2.699 and a significance value of 0.001. Partially, only economic status (X₂) and school dropout rate (X₃) significantly influence the decision to marry early, while parental education (X₁) does not have a significant influence. The Adjusted R Square value of 0.807 indicates that 80.7% of the variation in the decision to marry early can be explained by these three variables. This finding underscores the importance of efforts to improve education and empower family economics as a preventive measure to reduce the rate of early marriage among adolescents in the village.

This study investigates the influence of patient involvement and effective communication on the image of the Emergency Department (ED) at Dr. Dradjat Prawiranegara Regional Hospital in Serang, with service quality acting as a moderating variable. Utilizing a quantitative research method, data were collected through questionnaires distributed to 315 patients who received emergency care services between October 1 and November 1, 2024. The data were analyzed using multiple regression analysis and Moderated Regression Analysis (MRA). The findings show that patient involvement has a significant and positive impact on the image of the ED, while effective communication alone does not show a statistically significant effect. However, service quality positively moderates the relationship between effective communication and the ED’s image, enhancing its influence. In contrast, service quality does not moderate the relationship between patient involvement and ED image. These results highlight the importance of engaging patients in medical decisions and ensuring effective communication strategies supported by high service quality to enhance the institutional image of emergency healthcare services. The study suggests that hospital management should develop integrated service improvement policies focusing on staff communication training, patient-centered care practices, and continuous quality improvement. It also recommends further qualitative studies to explore deeper insights into patient experiences and to examine other hospital departments to broaden the understanding of healthcare service quality's role in shaping hospital image.

This study investigates the influence of service quality, trust, and commitment on member loyalty in Women’s Cooperatives in Jember Regency, Indonesia. Amid increasing competition from financial institutions and a declining number of active cooperatives, member loyalty has become a critical factor for sustainability. Drawing upon the Key Mediating Variable (KMV) model and relationship marketing theory, this research highlights how service quality and trust shape long-term cooperative-member relationships. The study also explores the unique role of commitment in fostering member retention in a cooperative context driven by social empowerment and collective welfare. Findings from previous literature underscore the positive and significant effects of service quality and trust on loyalty, while commitment shows varied influence. The paper emphasizes the necessity for cooperatives to maintain high service standards and build strong emotional ties with members. This approach is essential for sustaining member engagement and positioning women’s cooperatives as agents of local economic development and female empowerment.

The development of artificial intelligence (AI) has significantly changed the digital advertising landscape. However, consumer trust in the use of AI in digital advertising is a crucial issue to understand. This study aims to analyze the influence of perceived intelligence, transparency, and personalization of AI-based advertising on consumer trust levels. Using a quantitative approach through a survey of 500 respondents who are active social media users in Indonesia, the data were analyzed using Structural Equation Modeling (SEM). The results of the study indicate that perceived intelligence and transparency have a significant positive influence on consumer trust, while personalization has a moderate influence. These findings provide theoretical contributions to the digital marketing literature and provide practical guidance for marketers in designing AI-based advertising strategies that are trusted by consumers.