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This study conducts a Systematic Literature Review (SLR) to examine how key dimensions of digital service quality—namely system quality, ease of use, perceived value, and payment availability—shape customer loyalty among Generation Z culinary consumers, with customer satisfaction functioning as the mediating variable. Bibliometric mapping reveals that previous studies have predominantly focused on Millennials and Gen Y and have emphasized traditional service quality rather than digital service performance, indicating a significant research gap in Gen Z–specific digital consumption behavior. The SLR findings show that fast, secure, stable, and user-friendly digital systems strongly influence perceived value and user satisfaction, while the availability of digital payments such as QRIS and e-wallets enhances seamless transactional experiences. Customer satisfaction emerges as the primary psychological mechanism mediating the relationship between digital service quality and Gen Z loyalty, reflected in repeat purchases, positive word of mouth, and emotional attachment to digital culinary platforms. This study contributes theoretically by addressing existing research gaps and proposing a conceptual model of Gen Z loyalty grounded in digital experience.

The rapid growth of the digital era significantly reduces children's physical activity, thus having an impact on decreasing gross and fine motor development in elementary school-age children. The habit of excessive use of gadgets causes children to tend to be passive and less involved in structured movement activities. Fundamental Movement Skills (FMS), as the basis of motor competence which includes locomotor, non-locomotor, and manipulative skills, shows increasingly less than optimal development in early childhood and school age. This study examines the contribution of FMS to children's motor development and evaluates the effectiveness of FMS-based learning media, especially modified snake and ladder games, in improving students' basic movement skills. The study used a descriptive-correlational quantitative design involving 40 students aged 6–9 years who were selected through purposive sampling techniques. Data collection was carried out using the Test of Gross Motor Development-2 (TGMD-2) instrument, structured observation rubrics, and supporting documentation. Data analysis used descriptive statistics and Pearson correlation tests to see the relationships between variables. The findings of this research are expected to be the basis for the development of more innovative, adaptive, and fun physical education programs to support children's motor development in the midst of the challenges of the digital era.

The rapid growth of Indonesia's tourism sector, especially in East Java, has increasingly created fierce competition between local culinary brands. Steamed coating product Surabaya, as one of the leading souvenirs, appears on a solid brand awerness representation with an authentic customer experience. This study empirically examines the influence of Brand Awareness and Customer Review on the Purchase Decision of Steamed Layer Products of Surabaya Heroes. A causal quantitative approach was applied by purposive sampling on 96 offline and online buyer respondents. Primary data was obtained through questionnaires, analyzed using multiple linear regression supported by validity, reliability, classical assumptions, and hypothesis tests. The results showed that there was a simultaneous positive influence of the two variables on the purchase decision (F = 92.484; Sig. = 0.000). Partially, Brand Awareness (t = 6.457; β = 0.485) was more dominant than Customer Reviews (t = 5.685; β = 0.427). Adjusted R² = 0.658 explains 65.8% of the variation in purchasing decisions, with the rest by other factors. These findings underscore the urgency of brand equity and digital management reviews to build consumer trust as well as competitive advantage.

This study aims to analyze the influence of entertainment content consumption on TikTok toward the stress levels of university students. TikTok has become one of the most frequently used social media platforms among young adults, offering entertainment, distraction, and emotional relief. Meanwhile, academic stress is a common issue among students due to heavy coursework, deadlines, and pressure to perform. This research uses a quantitative method with a survey distributed to 100 active university students aged 18–24 who own a TikTok account and consume entertainment content such as comedy, challenges, and viral videos. Data were analyzed using descriptive statistics and simple linear regression. The results show that the overall frequency of using TikTok for entertainment is very high (mean = 4.26), while the level of academic stress also falls into the high category (mean = 4.06). Regression analysis indicates that TikTok entertainment content significantly affects students’ stress levels (p < 0.001). Result found is positive, meaning higher TikTok usage is associated with higher stress. The significance value based on the simple linear regression coefficient table is 0.000 < 0.05, so it can be concluded that the variable Use of TikTok Entertainment Content (X) has an effect on the variable Stress Levels Among Students (Y).

The growth of artificial intelligence (AI) in healthcare is causing big shifts in management roles and how ready organizations are, especially in private hospitals. In Medan City, rising competition, a small healthcare workforce, and strict accreditation requirements all make it even more important to use digital technology to make operations more efficient. This study seeks to examine the impact of AI on organizational readiness, utilizing management performance as a mediating variable. Quantitative approaches were employed via a survey of managers and administrative personnel at private hospitals, and the data were analyzed using path analysis with SPSS. The findings indicate that AI exerts a favorable and considerable influence on management performance, which in turn directly enhances organizational readiness. Additionally, managerial performance has been demonstrated to mediate the relationship between AI and organizational readiness. These findings address a research gap concerning the mechanisms of AI's role in the managerial context of hospitals in developing countries and offer practical implications for fortifying digital strategies, cultivating human resource competencies, and augmenting organizational capabilities in response to technology-driven healthcare transformation.

This research seeks to examine the influence of digital competency on employee performance, with employee engagement serving as a mediating variable at the Jakarta Mampang Prapatan Tax Office (KPP Pratama). The research employed a quantitative methodology utilizing Structural Equation Modeling (SEM) with Smart PLS, derived from data collected from 106 employees. The findings indicate that digital competency significantly influences employee engagement, which in turn positively affects employee performance. Digital competency also has an indirect effect on how well employees do their jobs by making them more engaged. These results validate that enhancing employee digital competency must be succeeded by bolstering employee engagement to achieve optimal performance improvement. This research makes an empirical contribution to the literature regarding digital competency and work engagement within the public sector and presents practical implications for enhancing human resource capacity to facilitate the modernization of tax services.

This study aims to analyze the relationship between online shopping activities and personal financial management among university students in Indonesia. The background of this research lies in the increasing digitalization of daily consumption, which has encouraged students to engage more actively in e-commerce transactions. Using a quantitative correlational design, data were collected from 100 undergraduate students through an online questionnaire based on Likert-scale indicators. The independent variables consist of buyer characteristics (age, gender, and income sources) and online shopping activities (frequency, spending amount, and shopping motivation). Meanwhile, personal financial management is measured through financial planning and spending control. The findings show that students demonstrate very high levels of online shopping activity and acknowledge the strong influence of demographic factors on their consumption behavior. Descriptive analysis also indicates high scores for financial planning and spending control, although intensive online shopping remains a potential risk to financial stability. The implications of this study highlight the need to strengthen financial literacy among students to help them develop healthier budgeting habits and reduce impulsive buying driven by digital platforms. This research is expected to contribute to the understanding of digital consumer behavior and support the development of financial education programs for young adults.

The purpose of this study is to examine and explain the influence of workload on job satisfaction with job stress as a mediating variable at PT. BPR Karya Artha Sejahtera Indonesia. This research employs a quantitative causality approach with a sample of 86 respondents selected using a saturated sampling technique. Data were collected through questionnaires and analyzed using inferential analysis with the SEM-PLS (Structural Equation Modeling – Partial Least Squares) method through the SmartPLS version 4.0 software. The results indicate that workload has a positive effect on job stress and a negative effect on job satisfaction. Job stress has a negative effect on job satisfaction and is proven to mediate the relationship between workload and job satisfaction. These findings support the two-factor theory and emphasize that poorly distributed workload can cause employees to experience stress at work. Job stress can reduce employees’ satisfaction with their jobs. This study is expected to provide practical contributions to the research site in improving job satisfaction by considering workload and job stress.

This study aims to analyze the effect of utilizing online sales application technology on the economic growth of local product-based Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. The rapid advancement of digital technology has encouraged MSMEs to integrate online sales applications into their business processes to enhance competitiveness and business sustainability. This research employs a quantitative explanatory approach using survey data collected from MSME actors who actively utilize online sales application technology. The independent variable in this study is the utilization of online sales application technology, while the dependent variable is MSME economic growth, measured through sales growth, income growth, and market expansion. Data were analyzed using multiple linear regression, including t-test, F-test, and coefficient of determination (R²). The results indicate that the utilization of online sales application technology has a positive and significant effect on MSME economic growth. These findings emphasize the strategic role of digital technology adoption in strengthening MSME performance and supporting inclusive economic growth in Indonesia. The study provides important implications for policymakers and stakeholders in promoting digital transformation among MSMEs.

Negative Binomial Regression is a statistical modeling approach used to analyze count data with overdispersion, where the variance exceeds the mean. This study applies the method to examine the influence of weather factors on the daily number of cyclists crossing the Williamsburg Bridge in New York City. The independent variables used in the analysis include maximum temperature, minimum temperature, and precipitation. The dataset was obtained from the NYC Department of Transportation through the Kaggle platform and covers the period from April 1 to April 30, 2016. The analysis began with a Poisson Regression model; however, the presence of overdispersion was identified, indicated by a high AIC value of 8598.19, suggesting that the model was not suitable. The alternative Negative Binomial Regression model was then employed and produced a significantly lower AIC value of 518.77, demonstrating a superior fit. The findings indicate that maximum temperature has a positive effect on the number of cyclists, while precipitation shows a significant negative effect. Conversely, minimum temperature does not exhibit a meaningful influence. These results highlight the importance of considering weather conditions when planning bicycle-based transportation systems and support the development of sustainable mobility strategies in urban environments.

Technological developments in the world of social media have had a significant impact on digital marketing, particularly in the cosmetics industry with the use of digital influencers. The digital influencer approach has become a force capable of influencing customer preferences and purchasing intentions. The focus of this study analyzes the influence of digital influencers on the use of the "Tasya Farasya approved" labeling on purchasing intentions. This study uses a quantitative approach and involves 100 respondents selected through a purposive sampling technique. Data were collected through a questionnaire distributed via Google Form with validity and reliability tests. Data analysis revealed a moderate relationship between digital influencers and purchasing intentions. Therefore, the results of this study, based on hypothesis testing and coefficient of determination tests, state that the digital influencer variable has a significant influence on purchasing intentions. Thus, the marketing strategy of collaborating with digital influencers on the use of the "Tasya Farasya approved" labeling on Instagram is an effective strategy to influence purchasing intentions for the Luxcrime Ultra Light Lip Stain product.

Social media represents a significant advancement in information technology that plays an essential role in facilitating communication and social interaction within society. Environmental care behavior reflects individual efforts to support and promote environmental sustainability. This study specifically targets Generation Z and millennials as future generations, emphasizing the importance of instilling environmental awareness and encouraging the maintenance of environmental cleanliness in all settings. Based on these considerations, the Instagram account @pandawaragroup was selected as the independent variable of this study, with a primary focus on environmental care behavior influenced by the content shared on the account. This research aims to examine the extent to which the Instagram account @pandawaragroup affects environmental care behavior. A quantitative research approach was employed, utilizing a random sampling technique by distributing questionnaires to 100 respondents who are followers of the @pandawaragroup Instagram account. Data analysis was conducted using simple linear regression with the assistance of IBM SPSS version 2025. The results of the hypothesis testing indicate that the use of the Instagram account @pandawaragroup has a significant effect on environmental care behavior, with a coefficient of determination of 17%. This finding suggests that the Instagram account @pandawaragroup contributes 17% to shaping environmental care behavior, while the remaining 83% is influenced by other factors beyond the scope of this study.

Production quantity planning is a crucial component in the bottled water industry (AMDK) to ensure that consumer demand is met efficiently. Inaccuracies in determining the amount of production can lead to overproduction and supply shortages, which ultimately leads to increased operational costs and decreased customer satisfaction. This study applies the Sugeno fuzzy logic method to predict the amount of production based on two main variables, namely weekly demand and raw material stock. The analysis stages include the fuzzification process, the preparation of the rule base, inference using the zero-order Sugeno method, and defuzzification using the Weighted Average (WA) method. The data used is synthetic data that represents the operational conditions of the medium-scale bottled water industry. The results show that the Sugeno fuzzy system is able to produce production predictions that are adaptive and responsive to fluctuations in demand and stock availability. This model provides consistent and stable output, so it can help companies in determining the optimal production amount. These findings confirm that Sugino's fuzzy approach can be an effective decision support tool in bottled water production management, especially in the face of uncertainty and variability in market demand.

Premarital sexual behavior among adolescents is a reproductive health problem influenced by various internal and external factors. The Health Belief Model (HBM) is used as a framework to understand this behavior, but previous research findings still show varying results. This study aims to analyze the contribution of the Health Belief Model components to premarital sexual behavior among adolescents based on the results of local research for the period 2020-2025. The method used was a literature review of relevant journal articles and scientific papers. The results showed that perceived vulnerability, perceived barriers, self-efficacy, and external cues to action such as media exposure and peer influence were variables that were consistently related to the main/dominant predictors of external cues to action, while perceived severity and perceived benefits showed inconsistent relationships. This study confirms that adolescent premarital sexual behavior is influenced by the interaction between cognitive, psychosocial, and environmental factors, thus requiring comprehensive and contextual reproductive health interventions.

Digital transformation in the health sector requires hospitals to improve service effectiveness through the use of Hospital Management Information Systems (HMIS). Berkah Pandeglang Regional General Hospital, as a regional hospital, still faces challenges in utilizing HMIS, such as limitations in infrastructure and user competence. This study aims to analyze the effect of SIMRS implementation and evaluation on the effectiveness of healthcare services. The research method uses a quantitative approach with a descriptive-verificative design. The research population consists of 278 healthcare workers, and 74 respondents were selected using proportionate stratified random sampling. Data were collected through closed questionnaires and analyzed using multiple linear regression to test the influence of variables. The results of the analysis show that the implementation and evaluation of SIMRS have a positive and significant effect on the effectiveness of health worker services. The most dominant components in implementation are the availability of hardware and human resource competence, while in evaluation, the most decisive aspects are the perception of usefulness and ease of use of the system. The conclusion of this study confirms that the success of SIMRS depends on the synergy between optimal implementation and systematic evaluation. Improvements in technological facilities, user training, and periodic monitoring are recommended to strengthen the effectiveness of health worker services at Berkah Pandeglang Regional General Hospital.

Human Immunodeficiency Virus (HIV) infection leading to Acquired Immune Deficiency Syndrome (AIDS) remains a global public health issue, with 39 million people living with HIV worldwide in 2022. Although X Hospital in Malang City provides a comprehensive care program, internal data shows a significant level of non-adherence to antiretroviral (ARV) therapy, often in the form of irregular consumption or discontinuation of medication without medical recommendation. This observational study with a cross-sectional approach aims to identify the determinants of ARV non-adherence, involving 81 non-adherent AIDS patients at Hospital X through total sampling techniques. The characteristics of the respondents were dominated by males, highly educated, and working in the non-government sector, with the majority using the ARV regimen TLD, COTRIMOXAZOLE. The results of statistical analysis indicate that all eight determining variables tested show a highly significant positive correlation (p < 0.001) with non-compliance, meaning that the more severe the problems with these factors, the lower the patient compliance. Furthermore, the top five factors showed a very strong positive correlation (r > 0.80) with non-adherence, namely motivation/depression, social support, communication with service providers, treatment costs, and age or routine. These findings underscore that these five key determinants must be a crucial focus in designing and implementing targeted intervention strategies to effectively improve patient adherence to ARV therapy.

This study aims to determine the partial and simultaneous influence between the variables of labor force, the agricultural sector, economic growth, and the industrial sector on the open unemployment rate in Aceh Province in the 2014–2023 period. The research method uses a quantitative approach by utilizing secondary data obtained from related agencies. The results showed that the labor force variable (X1) had a significant influence on the open unemployment rate with a significance value of 0.000 < 0.05. The agricultural sector variable (X2) was also proven to have a significant effect with a significance value of 0.002 < 0.05. Furthermore, economic growth (X3) has a significant influence on open unemployment with a significance value of 0.004 < 0.05. The industrial sector variable (X4) also showed a significant influence on the open unemployment rate in Aceh Province with a significance value of 0.015 < 0.05. Overall, these results indicate that employment dynamics and regional economic structure play an important role in determining the open unemployment rate during the study period. These findings provide a basis for policymakers to formulate more effective economic development strategies in reducing unemployment in the future.

This study aims to analyze various factors influencing the decisions of tobacco farmers in Wuluhan District, Jember Regency, in using the tebasan (bulk sale before harvest), and how this is viewed from the perspective of Islamic economics. The variables examined include income, farming experience, education level, and the perspective of Islamic economics, whose influence on selling decisions was tested using a quantitative approach through Structural Equation Modeling (SEM) with the help of SmartPLS software. The results of the study show that: Income, farming experience, and education do not have a direct significant effect on the decision to sell tobacco .However, these three variables have an indirect effect through the variable of the Islamic economic perspective.The Islamic economic perspective is proven to play a significant role as a mediating variable, influencing farmers' decisions to sell tobacco. In practice, the tebasan system does offer efficiency and certainty for farmers, but it contains elements of uncertainty (gharar) that must be critically reviewed in the context of Islamic sales law.

This study aims to examine the effect of green banking disclosure and social banking on firm value with banking sustainable performance as a mediating variable. The population in this research consists of banking subsector companies listed on the Indonesia Stock Exchange during the 2021–2023 period, totaling 47 companies. The sampling technique used in this study was purposive sampling, resulting in a total of 30 data points that met the research criteria and could be analyzed. The analytical method employed was path analysis using SPSS version 25 to test the relationships among variables and the mediation effect. The results of this study indicate that green banking disclosure has a positive and significant effect on firm value. Social banking also has a positive and significant effect on firm value. Banking sustainable performance has a positive and significant effect on firm value as well. However, green banking disclosure does not have a positive and significant effect on banking sustainable performance, while social banking does have a positive and significant effect on banking sustainable performance. The mediation test results using path analysis reveal that banking sustainable performance is unable to mediate the effect of green banking disclosure on firm value. Conversely, banking sustainable performance successfully mediates the effect of social banking on firm value. These findings suggest that social banking is more effective in enhancing banking sustainable performance and firm value compared to green banking disclosure.

Progressive wear on drive belt components, brake lining thickness, double lining bowl and other components of continuously variable transmission (CVT) on 160 cm3 automatic motorcycles are the problems faced. The purpose of component replacement planning is to obtain maintenance costs in 2026 and maintenance to profit ratio. The component replacement planning method includes collecting previous maintenance data, applying the inspection-replace-repair-overhaul (IRRO) method, evaluating component conditions, predicting component lifespan, predicting labor costs, predicting supporting equipment and supporting materials to be used in maintenance, predicting spare part replacement time, predicting maintenance costs in 2026, and calculating the maintenance cost to profit ratio. The results of component replacement planning obtained maintenance costs in 2026 are IDR 8.151.667,- with an estimated rental rate for Automatic Motorcycles of IDR 12,500/hour which has the potential to be rented for 3960 hours/year, and the ratio of maintenance costs to profits is 16.4% which implies that the 160 cm3 Automatic Motorcycle which was first used in 2021 is still prospective to generate profits and is suitable for use in the coming years.