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This study examinesthe factors influencing tax compliance among Generation Z in Solo Raya, Indonesia, with a particular focus on the challenges of low compliance within the informal sector. Employing a quantitative approach, data were gathered through closed questionnaires distributed to 135 respondents and analyzed using Structural Equation Modeling -Partial Least Squares(SEM-PLS) via SmartPLS 3. The results revealthat reference groups and tax knowledge have a significant positive impacton tax compliance, whereas thedigitalization ofthe tax system and social media donot demonstratea significant effect. Thesefindings underscore the critical role of social influence and tax education in improving compliance while indicating that digitalization efforts and social media campaigns require further refinement. This research contributesto the development of effective government policies aimed at enhancing tax compliance among Generation Zthrough targeted educational initiatives and the strategic application of technology.

The rapid advancement of digital technology has transformed how public services are delivered and accessed. This research examines the relationship between education levels and public awareness concerning adopting digital-based public services. In the digital transformation era, understanding the factors that influence the adoption of digital public services is crucial for improving the effectiveness of e-government implementation. This study surveyed 500 respondents from various demographic groups across multiple regions through a quantitative approach, utilizing stratified random sampling to ensure representation. The research employed a structured questionnaire and analyzed the data using multiple regression analysis and Structural Equation Modeling (SEM). The findings reveal a significant positive correlation (r = 0.76, p < 0.001) between educational background and digital service adoption rates. Additionally, public awareness emerged as a crucial mediating factor, explaining 45% of the variance in digital service utilization patterns. The study also identified key barriers to adoption, including digital literacy gaps and accessibility challenges, particularly among lower education groups. These findings provide valuable insights for policymakers and public service administrators in developing targeted strategies to enhance digital service adoption. The research contributes to the growing body of literature on e-government implementation and digital transformation in public services, while offering practical recommendations for improving public service delivery in the digital age.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

Bio-inspired engineering is a rapidly growing field that applies principles found in nature to develop innovative solutions in structural engineering, materials science, and robotics. This paper explores biomimicry in various disciplines, such as self-cleaning surfaces inspired by lotus leaves, energy-efficient building designs modeled after termite mounds, and ultra-lightweight yet durable materials inspired by spider silk. The study highlights the role of computational modeling in replicating biological structures and discusses the challenges of translating natural efficiencies into engineered systems. Additionally, this research examines the environmental impact of bio-inspired materials and their potential to replace conventional, resource-intensive materials in industries such as construction, aerospace, and biomedical engineering.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

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.

One of the museums found in Bali is Subak museum in Tabanan Regency. The establishment of this Museum aims to preserve the traditional institution called Subak as a noble national cultural heritage, and to introduce to the younger generation and foreign tourists about the unique traditional irrigation system in Bali. Lack of supporting facilities in delivering information, making tourists who visit Subak Museum have minimal information. The solution needed in Subak museum is an Android-based E-Tourism application that is supported by Qr-Code technology so as to provide an interesting presentation of data. In making this application using the development of the Waterfall method and designed using the Unified Modeling Language (UML) with the Java programming language for Android and PHP for web services, and MySQL as a database. So that produced an android-based system in Subak museum Tabanan Regency. Based on the results of the tests carried out it can be concluded that the black box testing system functions have been running according to the planning. Then the result of the testing of users using questionnaires generated Application Benefits scores 90.8%, Ease of 86.93%, Interface 82% and Content 90.2%. 

Education is an ongoing issue that continues to be researched over time. Private universities established by foundations are required to make efforts to enhance the competencies of their graduates, which results in high competitiveness. This study aims to examine the antecedents of lecturer performance and its impact on graduate competence at Medan city. The factors studied in the antecedents include: foundation management, university governance, and dean leadership and their effects on graduate competence. The population in this research is final semester students of the Management Study Program, Faculty of Economics, at nine private universities in Medan City. The sample selection in this study was carried out using multi-stage sampling, starting with purposive sampling of private universities and incidental sampling of students. The total sample in this study comprises 576 students representing the nine private universities proportionally. Data analysis used descriptive statistics and Structural Equation Modeling (SEM). This research concludes: (1) Foundation management has a positive and significant effect on university governance. (2) Foundation management has a direct positive and significant effect on dean leadership. (3) University governance has a positive and significant effect on lecturer performance. (4) University management has a positive and significant effect on dean leadership. (5) University governance has a positive and significant effect on lecturer performance. (6) Dean leadership has a positive and significant effect on lecturer performance. (7) Lecturer performance has a positive and significant effect on graduate competence. (8) Foundation management has a positive and significant effect on dean leadership through university governance.

The library management information system for SMP Negeri 2 Solear has been successfully implemented. Purpose of creating this information system is to make it easier for members to see the list of available books and borrow books easily, namely online, and to help admin staff in managing book, member and book borrowing data. This information system has two views, namely the user page and the admin page. On the user page, users can register as library members, see available books, and can borrow the books they want. On the admin page, the admin can add, subtract and manage book data, view members' borrowing history, and can see the number of books available. This application was created using PHP and MySQL programming languages, the writing method used was System Development Life Cycle (SDLC), system design used Unified Modeling Language (UML), and system display design used Dia Diagram. It is hoped that with this information system users and admins can access the system anywhere and anytime via the internet. And users don't need to come to the library just to see the availability of the books they want to borrow. Apart from that, admin work can be lighter without taking notes manually.

Abstract. This study aims to analyze the effect of ownership structure, profitability, and capital structure on firm value with audit opinion and Good Corporate Governance (GCG) as moderating variables. The object of this research is a food and beverage sub-sector company listed on the Indonesia Stock Exchange (IDX) during the 2018-2022 period, analyzed using the SmartPLS-based Structural Equation Modeling (SEM) method. The results showed that most of the independent variables did not have a significant effect on firm value. GCG is also not proven to moderate the relationship between these variables and firm value. However, ownership structure has a significant effect on audit opinion, while profitability and capital structure have no significant effect on firm value. This finding indicates the influence of external factors or other variables that have not been tested, so a more comprehensive approach is needed in future research.

Kendari City''s micro-enterprises struggle with limited capital and low product innovation, with 60% facing difficulties accessing capital. This study aims to examine the relationship between business capital and micro-enterprises'' performance, with product innovation strengthening this relationship. Policy support is crucial for improving competitiveness and sustainability. This study investigates the effect of business capital on business performance in micro enterprises in Kendari City, focusing on product innovation as a moderating variable. Data was collected from 50 respondents using the Slovin formula and Structural Equation Modeling (SEM) method. The study validated and tested the data for reliability and validity, providing an overview of the relationship between business capital and performance. Business capital significantly influences business performance, product innovation, and overall performance. Its Path Coefficient is 0.011, with a T-Statistic value of 9.875, above the threshold of Z α 0.05. Product innovation also positively influences business performance, with a Path Coefficient of 0.004 and a T-Statistic value of 2.855. Business capital''s influence on product innovation is fairly large, exceeding the threshold. Business capital significantly impacts the performance of Micro, Small, and Medium Enterprises (MSMEs) in Kendari City, enhancing product innovation, competitiveness, and market competitiveness. A synergistic strategy utilizing sufficient capital fosters innovative capabilities, resulting in improved performance.

. In the era of global competition, companies face challenges in maintaining their existence and enhancing competitiveness. This study aims to analyze the influence of quality control circles (QCC) and trust on achieving world-class status at Company X. The research employs a quantitative method using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 3 software. Primary data were collected through online questionnaires involving 50 respondents, who are employees of Company X. The results show that QCC has a positive and significant influence on trust (T Statistic = 46.771, p = 0.000). However, quality control circles do not have a significant direct influence on world-class status (T Statistic = 0.248, p = 0.804). Furthermore, trust does not have a significant influence on achieving world-class status (T Statistic = 0.110, p = 0.913) and does not act as an effective mediator in the relationship between QCC and world-class status (T Statistic = 0.107, p = 0.915). In conclusion, although quality control circles can enhance employees' trust in management, trust alone is insufficient to drive the achievement of world-class status.

This research aimed to determine the influenced of perceived ease of use and perceived usefulness on continuance intention of Kopra by Mandiri which is mediated by trust in the Tapal Kuda area. This research used the Explanatory Research type. Researchers used the proportional random sampling method or random sampling. The author used the determination of the sample size in this research based on the Slovin method as a measuring tool for calculating sample size so that research could be made easier. The number of research samples determined using the Slovin formula was 321 people. The data analysis method used Structural Equation Modeling (SEM) with the SmaprtPLS application. The results of the research showed that Perceived Ease of Use influenced Trust Kopra by Mandiri in the Tapal Kuda area. Perceived Usefulness influenced Trust Kopra by Mandiri in the Tapal Kuda area. Perceived Ease of Use influenced Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Perceived Usefulness influenced Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust influenced the Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust mediated the influence of Perceived Ease of Use on Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust mediated the influence of Perceived Usefulness on Continuance Intention of Kopra by Mandiri in the Tapal Kuda area.

This study aims to apply the concept of Islamic Religious Education (PAI) in addressing bullying, both verbal and non-verbal, at Zainul Hasan Genggong Islamic Boarding School. This research also examines the forms of implementing the PAI concept as a preventive measure against bullying, as well as the factors that support and hinder its implementation. The approach used in this study is qualitative with a case study design. Data were collected through observation, interviews, and documentation, involving various informants such as the boarding school leaders, counselors, and students. The results show that the PAI concept is implemented through the formation of noble character based on the teachings of the Qur'an and the Hadith of Prophet Muhammad SAW. The implementation of the PAI concept at Zainul Hasan Genggong Islamic Boarding School includes character development for students, improving social cohesion, fostering manners, providing educational punishments, rewards, and role modeling. Supporting factors include full support from the boarding school administration and involvement of student guardians, while challenges include resistance from some students toward behavior changes and limited resources. The study concludes that the implementation of the PAI concept has successfully created a safer and more conducive boarding school environment, reducing bullying practices among students.

This research aims to design and simulate a DC motor speed control system using integral state feedback (KISF) control. This control is designed to maintain DC motor speed stability with high accuracy despite disturbances or load changes. The research stages include mathematical modeling of the DC motor, PID control design, integral state feedback control design, simulation implementation and simulation results analysis. The show that althought integral state feedback control has a rise time 273.501 ms, slightly slower than PID 197.604 ms, integral state feedback compensates with higher slew rate of change 6.540 V/ms compared to PID 4.344 V/ms. Integral state feedback offers greater flexibility through pole placement values with Ackerman’s formula J3 = [-12 -100 -600], indicating that this system has good capability in responding to input changes, thus maintaining motor speed stably and efficiently. This indicates that integral state feedback control is superior in system adaptation and handling complex dynamics.

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

The Komunitas Harapan in Kauman Village, Semarang, was established to address social issues among children, including the lack of social skills due to the influence of a harsh environment. This study aims to evaluate the effectiveness of role-playing and modeling methods in improving the social skills of children in the community. The method used is a quantitative approach with an action research model, involving 11 child subjects ranging from kindergarten to elementary school age. Data were collected through observations, interviews, and pre-tests and post-tests. The analysis results show an increase in social skills that is not statistically significant, with a difference of 11.82 points between the average pre-test and post-test scores. However, qualitative observations reveal a positive impact, including increased responsiveness to instructions and mastery of basic social skills such as apologizing. In conclusion, although the quantitative results were not significant, this intervention has a positive impact on the development of children's social skills, which requires more time and a deeper approach for optimal results

In the current digital era, technological advances are developing very quickly and have a big influence in various areas of life. One innovation that has received great attention in the architectural industry is BIM (Building Information Modelling) technology. BIM has fundamentally changed the way design and construction are done, having a major impact on improving the efficiency, quality and sustainability of the architectural process. Before BIM, architectural design generally relied on 2D drawings that required complex interpretation and coordination, which often led to errors and delays in construction projects. However, with advances in technology and the adoption of BIM, architects can now create fully integrated 3D digital models. Considering that the earth as a place where humans live has a three dimensional (3D) shape, the nned for 3D information has now become very important to support various human activities. Apart from that, technology continues to develop rapidly, including in the field of mapping, with the emergence of increasingly advanced photogrammetry technology.

The manual payment system for Education Development Contributions (SPP) and student savings at SMP Putra Bangsa faces various obstacles, such as recording errors, loss of proof of payment, and difficulty tracking transaction history. This study aims to develop a web-based information system to overcome these problems. The research method involves needs analysis, system design using the Unified Modeling Language (UML), and web-based implementation. The results show that the designed system can simplify the transaction process, improve recording accuracy, and provide transparent access for students, homeroom teachers, and administration. This system is also able to produce real-time financial reports to support management decision making.

This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the benefits of utilizing quantum computing methods for enhanced predictive modeling. We provide a complete examination of the data, stressing the better performance of the VQCA model and its promise in correctly predicting lung cancer. The results highlight the importance of quantum-classical algorithms and help us understand the benefits and drawbacks of various strategies for predicting lung cancer. The study highlights the potential applications of quantum computing techniques in advancing the field of healthcare analytics. It shows the capability of the VQCA model to predict lung cancer using a tabular dataset accurately. Further research in this area is needed to explore scalability and practical implementation aspects. In summary, this study showcases the potential of VQCA and PennyLane in predicting lung cancer and underscores the benefits of quantum computing techniques in healthcare analytics.