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This study aims to analyze the effect of service quality on passenger satisfaction levels at PT Gapura Angkasa at I Gusti Ngurah Rai Airport, Bali. Service quality reflects the standard of excellence provided by the company to passengers, both through planned service standards and their implementation. This research uses a quantitative method with the population consisting of all Citilink airline passengers served by PT Gapura Angkasa traffic officers each month. The sampling technique used is non-probability sampling, where participants are selected based on certain criteria. The sample size was determined using the Slovin formula, resulting in a total of 100 respondents. After the data was collected, it was processed using various analytical methods, including instrument validation, hypothesis testing, and determination coefficient assessment.The findings of this study indicate a significant positive relationship between service quality and passenger satisfaction. This is supported by the T-test results, where the calculated T-value (11.070) is greater than the critical T-value (1.984), with a significance level of 0.000, which is below 0.05. Therefore, the null hypothesis (H0) is rejected, and the alternative hypothesis (Ha) is accepted, confirming that service quality has an impact on passenger satisfaction. Furthermore, the coefficient of determination (R²) test results reveal that service quality accounts for 83.2% of the variation in passenger satisfaction, demonstrating a substantial effect.

Considerations including work discipline, motivation, career growth possibilities, and stress may help us understand how satisfied PT. Asuransi Kredit Indonesia Kediri Branch employees are with their jobs. Using a non-probability selection strategy, this quantitative research selects a representative sample of 34 workers. Dalam SPSS versi 25, kami memeriksa kenormalan, autokorelasi, heteroskedastisitas, multikolinearitas, dan ketergantungan; kami juga memeriksa validitas dan reliabilitas. Selain itu, analisis statistik berikut dilakukan: uji-t, uji-F, analisis regresi linier berganda, dan perhitungan koefisien determinasi R². Work discipline significantly and positively affects job satisfaction, according to the study's findings (t significance value of 0.000, less than 0.05). With a t-statistic of 0.000 <0.05, it is clear that work motivation significantly impacts job satisfaction. Likewise, possibilities for professional advancement significantly impact work satisfaction in a favorable way, as shown by a t-value of 0.000 < 0.05. Also, with a t-value of 0.040 < 0.05, it is shown that work stress is positively and significantly correlated with job satisfaction. Job satisfaction is impacted by a combination of work ethic, motivation, and professional progress.

The proliferation of network information algorithms (NIAs) in contemporary society has sparked significant ethical concerns regarding their societal impact. This study investigates the influence of NIAs on social interactions, decision-making processes, and the perpetuation of structural biases through a multidisciplinary perspective (Ananny, 2023). The findings reveal that while NIAs enhance operational efficiency across various domains, they also introduce ethical challenges, including privacy infringements, systemic inequities, and algorithmic opacity, which threaten social justice. Employing Ananny’s (2023) conceptual framework—which categorizes NIAs into three dimensions: encounters, observation, and probability/temporality—this research deconstructs the operational mechanisms of these algorithms. The analysis demonstrates that NIAs not only replicate historical biases but also engender new forms of discrimination through ostensibly neutral predictive processes. For example, algorithm-driven recruitment systems may perpetuate gender disparities if their training data reflects prior discriminatory practices (Crawford, 2021). This study underscores the inextricable link between technological ethics and societal context, arguing that an overreliance on algorithmic systems risks undermining human autonomy (Zuboff, 2019). The originality of this research lies in its integration of computational ethics theory with empirical case studies, such as the deployment of NIAs in mass surveillance, where privacy is often compromised in pursuit of perceived security. To ensure academic rigor, the arguments are developed through a critical comparison with prior research (e.g., Mittelstadt et al., 2016), while avoiding redundancy in phrasing or structure. Scholars such as Floridi (2019) emphasize the necessity of algorithmic transparency in regulatory frameworks. However, critics like Noble (2018) argue that technical solutions alone are inadequate; structural reforms in data governance and corporate accountability are essential to mitigate the misuse of NIAs. In response, this study proposes an ethical framework that not only addresses technical risk mitigation but also incorporates civic participation in algorithmic decision-making processes. The ethical implications of NIAs necessitate a holistic approach that integrates principles of data justice, independent algorithmic auditing, and public digital literacy. Future research should explore inclusive models of algorithmic governance, particularly in developing nations where regulatory frameworks often lag behind technological advancements. This study concludes with a reflective inquiry: How can algorithmic accountability be ensured if developers lack transparency regarding data sources and programming logic? By addressing these questions, this research contributes to the ongoing discourse on the ethical governance of NIAs and their societal implications.

The current phenomenon serves as the foundation for our study. Finding out how self-efficacy, employee well-being, and job enrichment affect PT Berkatama Mulia Saputra Sidoarjo's employee performance is the aim of this study. This study is quantitative in nature and employs a sample of 46 employees. The Self Efficacy calculation produced a t-value of 4.558 and a probability value of Sig 0.000 <0.05. This implies that the self-efficacy component has a favourable and considerable impact on employee performance.A probability value of Sig 0.042 <0.05 and a t-value of 4.099 were derived from the Employee Well-Being calculation. This indicates that the employee well-being variable has a positive and significant impact on employee performance.The computation results show that the Job Enrichment variable has a probability value of Sig 0.000 <0.005 and a t-value of 7.948. This indicates that the job enrichment variable has a favourable and significant impact on employee performance.

:Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

This research aims to identify risks and determine responses to risks that can affect the implementation of the Bojonegoro Regency Oncology Specialised Hospital Construction Project Phase 2. The research was conducted using literature study and field study methods. Primary data was obtained through documentation, field surveys, and interviews, while secondary data included the Cost Budget Plan (RAB), project schedule, and weekly project reports. Sampling was conducted using the Slovin technique to obtain a representative number of respondents. The results showed that there were 31 relevant risk variables, grouped into 8 categories, namely force majeure, material, equipment, labour, contractual, construction, design and technology, and management risks. Significant risks were identified using the Severity Index method, which measures probability and time impact. The results of the risk analysis using the severity index method showed that there were 24 risks included in the low risk level, 3 risks included in the medium risk level, and 2 risks included in the high risk level.

This research seeks to explore how Part-Time Work and Time Management influence students' academic performance. A quantitative methodology was employed to investigate the relationship between the independent variables, part-time work and time management, and the dependent variable, academic achievement. The study focused on students from Universitas PGRI Wiranegara during the 2021–2024 period who are actively engaged in part-time work. The sample was selected using a probability sampling method, ensuring every student in the population had an equal chance of inclusion. Data collection was conducted through a questionnaire, which underwent validity and reliability testing.  The findings revealed that part-time work significantly affects academic performance, with both positive and negative outcomes, depending on how well students manage their time. Additionally, effective time management proved to be a crucial factor in enhancing academic performance, even when students juggle their time between work and study. Further analysis indicated that both variables collectively have a meaningful impact on academic achievement. This research underscores the critical role of time management skills for students balancing work and study and highlights the importance of institutional support in helping students maintain this balance. 

This study aims to explore the influence of religiosity on depression levels among working women in Indonesia, using data from the Indonesian Family Life Survey (IFLS) 2007-2014. With the increasing participation of women in the workforce, the challenge of maintaining mental health, particularly depression, becomes increasingly relevant. Employing a quantitative approach and logistic regression analysis, this study examines the relationship between religiosity, socioeconomic variables, and depression levels. The results show that religiosity has a significant positive effect on the probability of not experiencing depression, while age, education, and income also exhibit significant positive influences. Conversely, living in urban areas is found to have a significant negative impact. These findings highlight the importance of religiosity and socioeconomic factors in shaping the mental well-being of working women in Indonesia.

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

This study aims to examine the effect of the implementation of the Quick Response Code Indonesian Standard (QRIS) in increasing business income, especially for Micro, Small and Medium Enterprises (MSMEs) using the Technology Acceptance Model (TAM) approach. The method used in this study is a descriptive quantitative approach, which aims to provide an overview of the QR Code implementation. The population in this study involved MSME owners, with a sample taken from 100 respondents through non-probability sampling techniques. Data collection was done through questionnaires. Data analysis includes testing research instruments to assess data quality (validity and reliability), classical assumption test (normality), as well as multiple linear regression analysis and hypothesis testing (t test and F test). The results show that QRIS implementation and user satisfaction have a significant influence on increasing MSME income, which supports TAM theory regarding the importance of perceived usefulness and perceived ease of use in technology acceptance. However, other variables, such as QRIS usage literacy, convenience of use, and QRIS service price, did not show a significant influence on MSME income. Simultaneously, these factors still have an effect on MSME income, although with different variations in influence.

This study aims to analyze the impact of effort expectancy, perceived enjoyment, and performance expectancy on behavioral intention through customer satisfaction in the use of digital fintech services, with a particular focus on Generation X (ages 44-59). Data were collected through a questionnaire adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT) model, involving 175 Generation X respondents in Indonesia. The sampling method used was non-probability sampling with a purposive sampling technique. Data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM PLS) with Smart PLS software. The results of the study show that perceived enjoyment does not have a significant effect on behavioral intention, and effort expectancy does not significantly affect customer satisfaction. However, effort expectancy, performance expectancy, and customer satisfaction have a significant effect on behavioral intention. Perceived enjoyment and performance expectancy significantly influence customer satisfaction. On the other hand, effort expectancy does not significantly affect behavioral intention through customer satisfaction, while perceived enjoyment and performance expectancy significantly affect behavioral intention through customer satisfaction

In today's increasingly competitive digital business environment, entrepreneurs must develop smarter and more effective marketing strategies to promote their products. Food vloggers play a pivotal role by influencing their followers through social media content, particularly culinary reviews and personal experiences with food products, which encourage followers to purchase the recommended items. This study investigates the impact of marketing content and customer engagement on the purchase intentions of followers of the @sigerfoodies Instagram account.  Using a quantitative research approach, data were collected through questionnaires, employing a non-probability sampling method with a purposive sampling technique. The sample consisted of 140 respondents. Data analysis, including instrument validity, normality tests, multiple linear regression, and hypothesis testing, was conducted using SPSS 26. The findings indicate that both marketing content and customer engagement of @sigerfoodies significantly and positively affect the purchase intentions of culinary products in Bandar Lampung. To enhance its influence, Sigerfoodies is encouraged to organize giveaways, share engaging culinary facts, and foster interactions with followers to strengthen long-term relationships.

This research was conducted to determine the extent of the impact of the workforce, electricity consumption, and clean water consumption on economic growth in Indonesia. The data in this study is secondary data obtained from the publications of the Central Bureau of Statistics  Indonesia for the years 2014-2019. This research uses the Ordinary Least Square (OLS). From the results of this Ordinary least Square analysis, it was found that the labor force variable does not affect economic growth. Meanwhile, the variables of electricity consumption and clean water consumption do affect economic growth. From the F-statistic probability result of 0.000000 < the significance level of 0.05, it can be concluded that together, these three variables affect economic growth. The three variables in this study simultaneously influence economic growth by 99.51%.

This study aims to explore and empirically test the impact of Gross Domestic Product (GDP) and inflation on value-added tax (VAT) receipts. The research was conducted in Indonesia over the period from 1993 to 2022, using a sample of 30 observations on GDP, inflation and VAT. The sampling method employed was non-probability sampling with a saturation sampling technique, where the entire population was used as the sample. The analysis technique applied was multiple linear regression. The results indicate that, individually, GDP has a significant effect on VAT receipts (t-value > t-table) 2.064 > 2.059; an increase in GDP is likely to enhance VAT receipts due to the increase in household income, which supports the consumption of goods and services. In contrast, inflation does not have a significant effect on VAT receipts (t-value < t-table) 1.470 < 2.059; despite rising inflation, VAT receipts remain stable due to government policies on price controls, subsidies, and other measures to stabilize prices. Collectively, GDP and inflation together account for 98.2% of the effect on VAT receipts. Future research is recommended to include additional variables from both internal and external factors, such as government policies or global economic conditions, to gain a deeper understanding of other determinants affecting VAT receipts beyond GDP and inflation.

This study aims to evaluate whether the mechanism of corporate governance, which involves institutional ownership, management ownership, independent commissioners and audit committee variables, has a significant impact on the integrity of the financial reports of manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2019-2022. The sampling method uses techniques of non-probability sampling with approach purposive sampling. Based on the research results, it shows that 1) Institutional Ownership has a positive and significant effect on the integrity of financial reports. 2) Managerial ownership has no effect on the integrity of financial reports. 3) Independent Commissioners have a positive and significant influence on the integrity of financial reports. 4) The audit committee has a positive and significant effect on the integrity of financial reports. It is hoped that this research can provide additional strength to integrity in the presentation of financial reports, so that it can support the company's survival.

This research was conducted with the aim of determining the influence of soft skills, accounting expertise, and digital literacy on the job readiness of accounting students (a study on accounting students at State Universities in Bandar Lampung) both partially and simultaneously. The type of data used is primary data obtained through the distribution of questionnaires. The population in this study consists of accounting students from State Universities in Bandar Lampung, totaling 3,834 students. The sampling method in this study uses a non-probability sampling method, specifically the purposive sampling technique, and obtained a sample of 110 respondents. The data analysis method used is multiple linear regression analysis using the SPSS Ver.27 testing tool. The research results show that partially, soft skills, accounting expertise, and digital literacy have a positive impact on the job readiness of accounting students.

This research aims to analyze the influence of Job Rotation and Job Training on Employee Performance through Job Satisfaction. The unit of analysis for this study is PT BPR Arto Moro Semarang. This research is a causal-comparative type, with a sample size of 74 respondents collected through a questionnaire. The sampling method used is non-probability sampling with purposive sampling. The analysis tool employed in this study is Structural Equation Modeling (SEM) using the SmartPLS (Partial Least Square) version 4 application. The results of this study indicate a significant positive influence of Job Rotation on Job Satisfaction, Job Training on Job Satisfaction, and Job Rotation on Employee Performance. However, it does not show a significant impact of Job Satisfaction on Employee Performance and Job Training on Employee Performance at PT BPR Arto Moro.

The performance of MSMEs can be measured by achieving good performance during a certain period. Good MSME performance can contribute to improving the country's economy. The purpose of this study was to determine the impact of management knowledge and innovation on MSME performance in MSMEs in Aceh. The type of research used is quantitative descriptive research. The population in this study were MSME actors in Aceh. The sample used was non-probability sampling using the Slovin formula with a total sample of 228 respondents. The methods used in this study were validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple linear regression test, partial test (t), Simultaneous test (F), and determination test (R). Data were processed using SPSS software version 25. The results of this study indicate that knowledge management has a significant effect on MSME performance in MSME actors in Aceh. Innovation has a positive and significant effect on MSME performance in MSME actors in Aceh. knowledge management and innovation simultaneously have a positive and significant effect on the performance of MSMEs in Aceh.

Natural disasters have become an integral part of people's lives in Indonesia, disrupting daily activities and causing significant impacts. Indonesia, located in the Ring of Fire, faces a high risk of volcanic eruptions, including the active Mount Kerinci which has the potential to cause disasters such as volcanic ashfall. Kresik Tuo Village, located near Mount Kerinci, faces a direct threat from this eruption. The community, especially the youth, need to improve their preparedness and knowledge to deal with potential disasters. The "MENGABU Siaga dalam Bencana" program is designed to improve the preparedness of the Kresik Tuo Village community in dealing with potential volcanic ashfall, with the hope of contributing to the development of community preparedness strategies in disaster-prone areas. To improve the knowledge of youth in Kresik Tuo Village related to disasters and disaster preparedness. The study used the Pre-Experimental research method with a Prepost Test Design. Sampling used a non-probability sampling technique with convenience sampling according to the inclusion and exclusion criteria of 40 respondents. Wilcoxon test shows that there is a significant increase in the knowledge of youth preparedness for the eruption of Mount Merapi after being given the "Mengabu Siaga dalam Bencana" program. All respondents experienced an increase in knowledge, as indicated by a positive ranks value of 40 and a p value = 0.000. Conclusion: The results of the study indicate that there is a significant effect of the "Mengabu (Mengabu Storm Ash) Siaga Dalam Bencana" Program on Youth Preparedness Knowledge for Disasters in Kresik Tuo Village, Kayu Aro District, Kerinci Regency, Jambi in increasing youth knowledge.

The development of technology has brought many changes, especially in the field of digital technology. One of the innovations of this development is Financial Technology or fintech. Fintech introduced electronic wallets or e-wallets, for example Flip. By using trust as an intervening variable, this study attempts to investigate the influence of perceptions of ease, benefits, and security on the interest in using Flip e-wallets in Kota Bekas. This study provides respondents with an online questionnaire to generate primary data for further analysis. Respondents were selected from a non-probability sampling method with a purposive sampling technique, resulting in 175 respondents with 35 statements. The research findings show that perceptions of ease, benefits, and security influence the interest of Kota Bekas residents in using Flip e-wallets. In addition, the level of trust in Flip e-wallets in Kota Bekas is also influenced by these three factors. Trust acts as an intervening variable to moderate the impact of views of ease of use, benefits, and security on the interest in using Flip e-wallets, where the findings prove that trust influences people's desire to use Flip e-wallets in Kota Bekasi.