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The implementation of Electronic Medical Records (EMR) is a key component of healthcare digital transformation, as mandated by the Minister of Health Regulation Number 24 of 2022. EMR is expected to enhance efficiency, accuracy, and the quality of nursing services. However, its implementation at M Hospital continues to face challenges, particularly in terms of infrastructure readiness and the digital literacy of nursing staff. This study aims to analyze the effects of infrastructure readiness and digital literacy on the implementation of nursing EMR, with perceived usefulness as an intervening variable. A quantitative cross-sectional design was employed, involving all nurses at M Hospital, with a total sample of 100 respondents using total sampling. Data were collected through structured questionnaires and analyzed using SEM-PLS. The results indicate that infrastructure readiness and digital literacy have both direct and indirect effects on EMR implementation through perceived usefulness (p < 0.05). Among the independent variables, infrastructure readiness demonstrates the strongest influence. These findings support existing theories and prior research. From a managerial perspective, the results highlight the importance of improving infrastructure to optimize EMR implementation. In conclusion, infrastructure readiness and digital literacy significantly influence the successful implementation of nursing EMR, with perceived usefulness acting as a key mediating factor.

this study aims to evaluate the impact of capacity building for village officials in Anjir Seberang Pasar I Village on the effectiveness of village administrative and financial management following the implementation of Law No. 6 of 2014. The primary focus of the study is to measure changes in the competencies of village officials before and after the implementation of technical guidance, as well as the use of the Village Financial System (Siskeudes) application and Internet Banking Business. The research method used is qualitative with a case study approach, in which data collection was conducted through observation, interviews, and the completion of pre-test and post-test questionnaires by respondents consisting of the Village Secretary, Kaur, and Kasi. The results of the study indicate a significant increase in three key variables: perceived usefulness, perceived ease of use, and attitude toward using. Quantitatively, the average validation score from respondents reached 4.53 (on a 5.0 scale), which falls into the “Agree” category regarding the system’s effectiveness. Based on data analysis, the success rate of capacity building for village officials was recorded at 29.23%, with a final understanding rate reaching 91.33%. These findings indicate that practice-oriented and participatory training is capable of improving the technical skills and accountability of village officials in managing digital-based government administration. The integration of Siskeudes and digital banking has proven to have a positive impact on a safer and more transparent payroll system at the village level.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

The use of e-wallets is increasing in Indonesia, especially during the Covid-19 pandemic. The most popular digital wallets in Indonesia, such as Go-Pay, OVO, ShopeePay, Dana, and LinkAja, have adapted the mobile banking system, making it easy for users to download the app through the Play Store or App Store. According to Insight Asia, DANA is ranked third in terms of number of users after Gopay and OVO, with 221 respondents from major Indonesian cities. As an e-wallet platform created by PT Espay Debit Indonesi Koe Indonesia in 2018, DANA, as a local company, attracts people's interest and has become a popular choice. This study aims to identify the relationship and influence between Perceived Usefulness and Perceived Ease of Use on Decision to Use E-wallet, especially DANA, with Intention to Use E-wallet as an intervention variable. Through regression tests, the research findings show that Perceived Usefulness and Perceived Ease of Use have a positive and significant effect on Intention to Use DANA, and Intention to Use DANA has a significant effect on Decision to Use DANA. Intention to Use E-wallet mediates the relationship between Perceived Usefulness and Perceived Ease of Use with Decision to Use DANA. This result is obtained by looking at the results of statistical processing, where the p-value <0.005. These findings imply that the perceived usefulness and ease of use of the DANA application has the potential to encourage user interest in using e-wallets, which in turn can influence users' decisions to adopt DANA as an electronic payment method.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

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.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

The rapid advancement of information technology has significantly transformed accounting practices, including among student entrepreneurs. This study aims to analyze the implementation of technology-based accounting among participants of the Student Entrepreneur Development Program (P2MW) using the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) frameworks. A descriptive qualitative method with a case study approach was applied to ten informants through in-depth interviews and Likert-scale questionnaires, analyzed thematically and supported by TRI score interpretation across the dimensions of optimism, innovativeness, discomfort, and insecurity. The findings reveal that technology acceptance in accounting is influenced by perceived usefulness, which includes time and cost efficiency, improved data accuracy, ease of real-time access, and accelerated strategic decision-making, as well as perceived ease of use that minimizes technical barriers. The TRI analysis indicates high levels of optimism and innovativeness, with low discomfort and insecurity, reflecting strong readiness for technology adoption. The study concludes that implementing technology-based accounting among student entrepreneurs provides tangible benefits and encourages sustainable use, with practical implications for application developers, educational institutions, and policymakers in strengthening accounting technology literacy among young entrepreneurs

This study aims to analyze the factors influencing GoPay user loyalty in Semarang. The background of this research is based on the high penetration of e-wallet services in Indonesia, which is increasingly competitive, with many service providers such as OVO, DANA, ShopeePay, and LinkAja offering various promotional programs. The research method used a quantitative approach through a survey of 120 active GoPay user respondents, then the data was analyzed using the SmartPLS application. The results showed that promotions did not significantly influence user loyalty, while perceptions of usefulness and brand image had a positive and significant influence. This indicates that user loyalty is not only built through short-term incentives, but is more determined by perceptions of service benefits and trust in the brand image. These findings emphasize the importance of companies not only relying on promotional strategies, but rather focusing more on improving service quality, feature innovation, and consistency in maintaining brand reputation. With the right strategy, GoPay is expected to maintain a loyal user base amidst the increasingly fierce e-wallet competition in Indonesia.

The study aims to evaluate the adoption of the Coretax system by government expenditure treasurers using the Technology Acceptance Model (TAM). We assesses the factors influencing users' attitudes and intentions toward using new technology. Primary data from local government public service agencies in Karanganyar and Wonogiri regencies are collected by using questionnaire, analyzed with linear regression and path analysis. Our analysis reveals that perceived usefulness and behavioral intention are scored high, indicating that the treasurers find Coretax beneficial and are strongly inclined to continue using it. However, perceived ease of use and attitude toward use showed moderate to high ratings, indicating room for improvement in terms of ease of use and user comfort. Regression analysis found that perceived ease of use significantly affects perceived usefulness, attitude toward use, and behavioral intention. However, perceived usefulness and attitude toward use did not significantly influence behavioral intention. The findings suggest that the ease of use of Coretax plays a more crucial role in shaping the treasurers' behavioral intentions than perceived usefulness or affective attitude. This study providing insights into key determinants affecting user intentions and offering empirical foundations for developing training policies, system design improvements, and implementation strategies tailored to the public sector's needs. The findings of this research are also expected to contribute to offer practical implications for strengthening national tax digitalization reforms.

Climate change and air pollution are necessitating a transition towards sustainable transportation. However, the adoption rate of electric motorcycles in West Kalimantan remains low. This study aims to analyze the factors shaping the intention to adopt electric motorcycles in this region using an extended Technology Acceptance Model (TAM) framework. A quantitative method was employed, involving a survey of 200 respondents selected through purposive sampling, with the data analyzed using Structural Equation Modeling (SEM). The results indicate that perceived usefulness and perceived ease of use have a positive and significant influence on adoption intention. Notably, perceived ease of use emerged as the most dominant determinant, not only directly impacting intention but also indirectly influencing it through perceived usefulness. Among the external variables, compatibility was found to enhance perceived usefulness, while enjoyment positively affected perceived ease of use. Conversely, resource availability did not significantly shape initial perceptions. The implications of these findings suggest that stakeholders should prioritize strategic communication that highlights the ease of use, enjoyable riding experience, and functional benefits of electric motorcycles. These efforts should be supported by policies aimed at accelerating infrastructure development and providing incentives to encourage broader adoption.

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.

This study aims to examine: 1) the effect of perceived usefulness, perceived ease of use, and perceived security and privacy on attitude toward using; 2) the effect of perceived usefulness, perceived ease of use, and perceived security and privacy on the intention to use digital wallets in Aceh Province; and 3) the mediating effect of attitude toward using in the relationship between perceived usefulness, perceived ease of use, and perceived security and privacy on the intention to use digital wallets in Aceh Province. The data collection method employed non-probability sampling with a total of 275 respondents. Data analysis was conducted using Partial Least Squares (PLS)-based Structural Equation Modeling (SEM) via SmartPLS 4.0. The findings show that perceived usefulness, perceived ease of use, and perceived security and privacy positively influence attitude toward using, which subsequently affects the behavioral intention to use. These results indicate that individuals in Aceh are more likely to adopt digital wallets when they perceive them as beneficial, user-friendly, and secure. Furthermore, the mediating role of attitude emphasizes its importance in strengthening the relationship between user perception and the intention to use digital wallet technology (t-value = 5.717, p-value = 0.000).

The Student Evaluation of Lecturers (EDOM) at the Faculty of Engineering, Universitas Dr. Soetomo has historically been conducted via Google Forms and processed manually, resulting in slow response times, repetitive recap procedures, and insufficiently documented reporting validity. This study aims to design, build, and evaluate a web-based EDOM system using the Prototype Model (MODEL PROTOTYPE) to improve data collection efficiency, recap accuracy, and the effectiveness of feedback for teaching quality assurance. The development method comprises requirements elicitation with the Quality Assurance Unit through a review of SPMI documents and brief interviews, architectural and interface design (Laravel, MVC pattern, and MySQL), staged prototyping, and rapid iterations based on stakeholder feedback until functional conformity is achieved. The resulting system provides authentication and role-based authorization (Admin, GPM, Lecturer, Student), odd/even period management, a question bank employing a Likert scale, anonymous questionnaire submission, score recap per lecturer and per category (pedagogical, professional, personal, social), dashboard visualizations, and report export to support governance needs. Functional evaluation was conducted through black-box testing on core scenarios (login, period scheduling, submission, recap, and export) and indicated conformance to specifications. User acceptance evaluation employed the Technology Acceptance Model (TAM) to examine perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention; the results indicate positive acceptance and potential for operational adoption. Practically, the prototype approach accelerates requirement alignment, reduces the risk of mis-specification, and facilitates change control, while the Laravel-based implementation supports maintainability, role-based access security, and further feature development. The study is limited to a single faculty; future work may include SSO integration, audit trails, and longitudinal, cross-semester analytics for more comprehensive monitoring of lecturer performance.

Micro, Small, and Medium Enterprises (MSMEs) in Denpasar City have a strategic role in the regional economy, particularly through job creation and contributions to local income. Despite their potential, many MSMEs still encounter challenges in financial management, which can hinder their development and sustainability. The emergence of information technology offers solutions, including cloud-based accounting systems that provide convenience, efficiency, flexibility, and accessibility—features that are especially beneficial for small business actors. This study aims to explore the factors that influence MSMEs’ interest in adopting cloud accounting systems in Denpasar City. The research uses a quantitative method with a survey approach involving MSME actors who currently use or have the potential to use cloud accounting. The independent variables in this study include personal ability, perceived ease of use, perceived usefulness, and perceived data security risk, while the dependent variable is the interest in using cloud accounting systems. The data were analyzed using multiple linear regression to determine the effect of each factor on the dependent variable. The results show that personal ability, perceived ease of use, and perceived usefulness have a positive and significant influence on MSMEs’ interest in adopting cloud accounting systems. In contrast, perceived security risk has a negative and significant effect, indicating that concerns about data privacy and cyber threats may hinder the adoption of this technology. The findings of this study contribute to the understanding of technology acceptance among MSMEs and highlight the importance of strengthening digital competencies, improving user-friendly system design, and enhancing cybersecurity measures. These insights are expected to support government and developers in formulating appropriate strategies to accelerate digital transformation within the MSME sector, especially in the context of financial technology. The implementation of such strategies can improve business performance and competitiveness among MSMEs in Denpasar and beyond.

Transparent, accountable, and efficient regional financial management is a key responsibility in ensuring good governance. One of the government’s efforts to realize this is through the implementation of an accounting information system known as the Regional Government Information System SIPD, which plays a critical role in planning, budgeting, and financial reporting within local governments. However, the success of SIPD implementation depends not only on the quality of the system itself, but also on the level of user acceptance and usage. This study aims to examine the influence of perceived usefulness, perceived ease of use, and trust on the acceptance of SIPD use at the Regional Financial and Asset Management Agency BPKAD of Karangasem Regency. The sample was determined using non-probability purposive sampling, with 36 employees who use SIPD as respondents. Data analysis was conducted using multiple linear regression analysis. The results indicate that perceived usefulness, perceived ease of use, and trust have a positive effect on SIPD acceptance. This suggests that when the system is perceived to improve performance, productivity, and effectiveness; simplify tasks; be easy to use, understand, and learn; enhance user skills; be trustworthy; and provide security and protection, user interest, satisfaction, and usage frequency will increase. Theoretically, this study supports the Technology Acceptance Model TAM in explaining the influence of perceived usefulness, perceived ease of use, and trust on SIPD acceptance. Practically, the findings can be used as input and evaluation material for further SIPD development.

This study aims to analyze student acceptance of the use of mobile-based learning media and augmented reality (AR) in the Electrical Circuit course at the Electrical Engineering Study Program at Padang State University. Using a mixed method approach, this research combines quantitative techniques through the Technology Acceptance Model (TAM) and qualitative approaches to explore student experiences through interviews. The results show that students' perceptions of ease of use (PEOU) have a significant effect on perceived usefulness (PU), which then affects attitudes towards use (ATU) and acceptance (ACC) of AR learning media. However, the relationship between PEOU and ATU, as well as PU and ATU, is not significant, indicating that affective aspects still need attention to increase positive attitudes towards the technology. Based on these findings, it is recommended that learning media developers pay attention to the user experience dimension and involve social factors and support in learning so that technology acceptance can be optimized. In conclusion, the successful integration of AR technology in education depends not only on convenience and usability, but also on emotional and social experiences that can support a more thorough learning process.

In the digital era, savings and loan cooperatives are required to manage their finances efficiently and accountably through the implementation of effective accounting information systems (AIS). AIS plays a crucial role in producing accurate, timely, and reliable financial reports. However, many cooperatives in Denpasar City continue to face challenges such as delayed reporting and low-quality financial information, despite having adopted information technology. This study aims to examine the influence of information technology sophistication, skills, and work experience on the effectiveness of accounting information systems. The sample consists of 98 cooperative employees who use accounting information systems in their work, selected using purposive sampling. Data were collected through questionnaires, and the analysis was conducted using multiple linear regression. The results of the study indicate that information technology sophistication, skills, and work experience have a significant positive effect on the effectiveness of accounting information systems. This research provides empirical evidence supporting the Technology Acceptance Model (TAM), which emphasizes two main factors influencing technology adoption: perceived ease of use and perceived usefulness. The findings are expected to contribute to cooperative management development and encourage improvements in human resource capacity and the use of technology to support better financial governance.  

This study aims to examine the effect of Perceived Usefulness, User Satisfaction and Information Technology Readiness on the interest in using e-filing among taxpayers. The data of this study uses primary data by distributing questionnaires to Individual Taxpayers registered at the Jambi Telanaipura City Tax Office. The sampling method of this study is simple sampling with a sample of 100 taxpayers. The data analysis method used in the study is multiple regression analysis assisted by the IBM SPSS statistic 27 application. The results of this study indicate that perceived usefulness has a positive effect on the interest use of e-filing, user satisfaction does not affect the use of e-filing, while information technology readiness has a positive effect on the use of e-filing. Simultaneously, the independent variables, namely perceived usefulness, user satisfaction and information technology readiness, affect the interest in using e-filing.

Electronic Medical Records (EMRs) have become a fundamental component of healthcare digitization, offering improved accuracy, accessibility, and efficiency in patient data management. However, the adoption of EMR systems often encounters varied acceptance levels among healthcare workers, particularly in outpatient services where workflow integration is crucial. This study evaluates the implementation of an outpatient EMR system at RSAU dr. Siswanto, Indonesia, using the Technology Acceptance Model (TAM) framework. The research aims to explore users’ perceived usefulness, ease of use, attitude toward usage, behavioral intention, and actual system usage in daily operations. Employing a qualitative descriptive approach, data were collected through in-depth interviews, observations, and document analysis involving doctors, nurses, and medical record staff. The findings reveal that although the EMR system is generally perceived as beneficial for improving documentation and efficiency, several challenges persist, including incomplete feature utilization, limited training, and inconsistent user adaptation across roles. Additionally, network instability and technical downtime were noted as barriers to system reliability. Overall, the study underscores that perceived ease of use and continuous institutional support significantly influence EMR acceptance. These insights highlight the need for targeted capacity building and iterative system development to ensure effective EMR integration in outpatient settings.