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The implementation of digital health information systems, such as e-Puskesmas, plays an important role in supporting electronic medical records in primary healthcare facilities. However, technical constraints, including network instability and system integration issues, may affect user satisfaction among healthcare workers. This study aims to analyze healthcare workers’ satisfaction in using e-Puskesmas based on the End User Computing Satisfaction (EUCS) method. This research employed a quantitative analytic approach with a cross-sectional design, involving 35 healthcare workers at Puskesmas Klangenan using total sampling. The variables consisted of five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. Data were collected using a structured questionnaire with a Likert scale and analyzed using descriptive statistics and Spearman correlation test. The results showed that user satisfaction was categorized as very satisfied across all EUCS dimensions, with mean scores ranging from 4.11 to 4.47. All EUCS dimensions had a positive and significant relationship with user satisfaction (p < 0.05), with format and ease of use showing the strongest correlations. It can be concluded that the quality of system and information in e-Puskesmas significantly influences healthcare workers’ satisfaction, indicating the need for continuous system development to support optimal healthcare services.

This study examines how the transition from manual to digital services influences user satisfaction through digital service quality and user perception at the Marine and Fisheries Office of Pekalongan Regency. The research employs a mixed-methods approach, combining a quantitative survey (N = 40) using Pearson correlation analysis with qualitative interviews involving service leaders and operators. The results reveal very strong correlations between service quality, user perception, and user satisfaction, as well as the critical role of system stability and operator assistance in shaping user experience. Qualitative findings confirm that changes in work culture, leadership, and human resource adaptation are key factors in the success of digitalisation. The study implies that the success of digital public services is determined not only by technology but also by strengthening human resource capacity, simplifying service design, and providing operator support for users with low digital literacy. The limitations of this study include the small sample size, the single organisational context, and reliance on perception-based data. Future research is recommended to conduct comparative cross-agency studies, longitudinal approaches, and structural model testing to examine the mediating roles of digital literacy and operator assistance.

This research aims to analyze the quality of electronic services (E-Service Quality) on user satisfaction of the DANA digital wallet application in the West Jakarta area. The evolution of financial technology (fintech) in Indonesia has encouraged rapid growth in the use of digital wallets, including DANA which is recorded to have more than 200 million users by 2024. However, this rapid growth is still marred by a number of user complaints regarding system reliability, service response speed and transaction security. Therefore, this study is important to evaluate how much e-service quality dimensions influence user satisfaction levels. The research method used is a quantitative approach with an associative type of research. Data was collected through questionnaires from 100 respondents who were active users of the DANA application in the West Jakarta area using a purposive sampling technique. Data analysis was carried out using SPSS software through validity tests, reliability tests, and simple linear regression analysis. The research results show that E-Service Quality has a positive and significant effect on user satisfaction of the DANA application with a coefficient of determination (R Square) of 0.907, which means that 90.7% of the variation in user satisfaction can be explained by the E-Service Quality variable, while the remaining 9.3% is influenced by other factors outside the research model. The results of the significance test (t test) show a significance value (Sig. < 0.05) which indicates that the influence of E-Service Quality on user satisfaction has been proven to be statistically significant. The results of this study are expected to serve as evaluation material for DANA application managers in improving the quality of digital services, particularly in terms of efficiency, system reliability, security, and user responsiveness. Furthermore, this research is expected to provide theoretical contributions to the development of studies in the field of information systems and digital service management.

Advances in information technology have driven the transformation of banking services towards digitalization through mobile banking. Bank Central Asia (BCA), one of the largest private banks in Indonesia, offers m-BCA services to facilitate quick, practical, and efficient customer transactions. However, issues such as delayed notifications, system disruptions, and login problems still exist. This study aims to evaluate m-BCA user satisfaction using the PIECES Framework, which consists of six dimensions: Performance, Information, Economy, Control and Security, Efficiency, and Service. A descriptive quantitative approach was used, with a questionnaire distributed to 105 active m-BCA users in South Jakarta. Data were analyzed using mean values to assess satisfaction levels for each dimension, and validity and reliability tests were conducted. The results showed average scores of 4.02 for Performance, 4.08 for Information, 4.08 for Economy, 4.18 for Control and Security, 4.20 for Efficiency, and 4.09 for Service. The overall score of 4.10 falls into the "Satisfied" category. The highest score was for Efficiency, indicating strong support for users’ banking activities, while the Performance dimension scored lower, suggesting room for improvement. Overall, users are satisfied with m-BCA, but system performance improvements are needed for service stability and sustained satisfaction.

This study aims to evaluate the level of user satisfaction with the user interface of the Academic Information System (SIAKAD) at Esa Unggul University using the End User Computing Satisfaction (EUCS) method. This method assesses user satisfaction based on five key dimensions: content, accuracy, format, ease of use, and timeliness. The study employed a quantitative descriptive approach by distributing questionnaires to active Esa Unggul University students as primary system users. The collected data were analyzed using SPSS software to test validity, reliability, and the relationships between variables that influence user satisfaction with the SIAKAD interface. The results show that, in general, users are quite satisfied with the SIAKAD interface, particularly in the ease of use and accuracy dimensions, which obtained the highest scores. This indicates that usability and information accuracy are the dominant factors in creating a positive user experience. However, the timeliness and content dimensions still require further improvement, as they were rated as less optimal in providing fast and comprehensive information. These findings highlight the importance of an intuitive, efficient, and informative interface design in enhancing user satisfaction. This research is expected to serve as a reference for Esa Unggul University in developing and improving its Academic Information System to become more effective, efficient, and user-friendly. Evaluating user satisfaction through the EUCS approach provides valuable insights for system developers to refine the interface, improve information quality, and enhance system responsiveness. Thus, the results of this study are expected to contribute to improving academic service quality and supporting the digitalization of education at Esa Unggul University.

Advances in information technology have changed the way humans obtain and manage information, including in the world of education. School websites have become an important medium for conveying academic, administrative, and school activity information quickly and efficiently. However, not all educational institutions are able to optimize the functions of their websites. This study was conducted to determine user satisfaction with the website of SMP Negeri 5 Kota Jambi using the Webqual 4.0 model and Importance Performance Analysis (IPA). The research method used was a descriptive quantitative approach with data collection through the distribution of questionnaires to 291 respondents from a total population of 1,065 students. The analysis was conducted by measuring the three main dimensions of Webqual 4.0, namely usability quality, information quality, and service interaction quality, then using IPA to map service improvement priorities. The results showed that most users were satisfied with the quality of the website, particularly in  terms of ease of use and service interaction. However, the timeliness of information updates and the responsiveness of the display on mobile devices still needed improvement. Recommendations for improvement focused on the dimensions in the "Concentrate Here" quadrant of the IPA analysis.

The digital transformation of health services through the Mobile JKN application was introduced by BPJS Kesehatan to provide easier access for the public in obtaining information, managing membership administration, and receiving health services more quickly and efficiently. This study aims to measure the readiness level of patients at Abdul Manap Regional Hospital, Jambi City, in adopting the Mobile JKN application using the HOT-Fit method, which covers three main components: Human, Organization, and Technology. Data were collected from 360 respondents through questionnaires and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). The results indicate that technology factors—including system quality, information quality, and service quality— along with organizational support have a significant effect on system use and user satisfaction, which in turn positively influence the net benefits. The outer loading values of all indicators exceeded 0.7, with Composite Reliability above 0.8 and AVE above 0.6, confirming that the research instruments are valid and reliable. Overall, patients at Abdul Manap Hospital are categorized as ready to adopt Mobile JKN, although improvements in digital literacy and stronger organizational support are still required to optimize its utilization.

This study aims to analyze the performance of Android-based attendance applications used at PT PLN ULP West Sumba by integrating two evaluation methods, namely WebQual 4.0 and Importance Performance Analysis (IPA). This attendance application functions to monitor employee attendance digitally so that it is expected to be able to improve the efficiency and accuracy of data recording. Evaluations are conducted to assess the extent to which the application meets the needs of users as well as the expected performance. WebQual 4.0 is used to measure the quality of user experience in terms of ease of access, interactivity, trust, and satisfaction, while IPA is used to compare the level of user interest with application performance based on four main attributes: system quality, information quality, service quality, and usage quality. The research data was collected through a survey with questionnaires compiled according to WebQual 4.0 and IPA indicators, involving application users at PT PLN ULP West Sumba. The results show that the majority of users are satisfied with the ease of use and performance of the application, but there are aspects that need to be improved, especially the speed of the system and a more user-friendly interface design. The science analysis emphasizes that the quality of systems and information is a crucial factor that must be a priority for development. This research provides strategic recommendations for PT PLN ULP West Sumba to improve the performance of the attendance application and support the company's operational needs in a sustainable manner.

The increasing volume and complexity of data have made traditional 2D visualization methods insufficient for effectively exploring and understanding high-dimensional datasets. Immersive Virtual Reality (VR) presents a promising solution by providing an interactive 3D environment that enhances spatial understanding, task efficiency, and user satisfaction. This research aims to evaluate the user experience (UX) and interaction design quality of immersive VR interfaces for 3D data visualization in complex environments. The study employs a mixed-methods approach, combining usability testing, UX questionnaires, and task-based performance analysis. Participants interacted with VR prototypes designed to visualize complex data and were assessed on their ability to manipulate and explore the data efficiently. The findings show that immersive VR interfaces significantly improve spatial comprehension, reduce cognitive load, and increase task performance efficiency compared to traditional 2D systems. Additionally, user satisfaction was notably high, with participants appreciating the intuitive and engaging interaction methods. The study concludes that immersive VR can provide substantial benefits in real-world data visualization applications, particularly in domains requiring the exploration of complex and high-dimensional data. However, further research is needed to optimize VR interfaces and address challenges such as motion sickness and interaction complexity.

Human–Robot Interaction (HRI) systems increasingly rely on data-driven approaches to interpret multimodal sensory inputs and support natural interaction. However, purely neural-based HRI models often suffer from limited interpretability and insufficient context-aware decision-making, which can reduce user trust and adaptability in dynamic interaction scenarios. To address these limitations, this study proposes a hybrid neural–symbolic HRI framework that integrates multimodal neural perception with explicit symbolic reasoning for adaptive and interpretable robot behavior. The proposed system combines deep neural networks for processing visual, speech, and gesture inputs with a rule-based symbolic reasoning layer that models interaction context, user states, and behavioral constraints. A loosely coupled integration strategy enables neural outputs to be transformed into symbolic representations, allowing logical inference to guide action selection while preserving perceptual accuracy. The framework was evaluated through controlled HRI experiments comparing a neural-only baseline with the proposed hybrid configuration across multiple interaction scenarios. Experimental results demonstrate that the hybrid neural–symbolic system significantly improves interaction accuracy, contextual responsiveness, and user satisfaction, while achieving substantial gains in interpretability. These findings indicate that symbolic reasoning effectively complements neural perception by enhancing transparency and context-aware adaptation without compromising performance. The study concludes that hybrid neural–symbolic architectures provide a promising foundation for developing trustworthy, adaptive, and human-centered HRI systems.

This study aims to gain an in-depth understanding of the influence of user experience and e-service quality on user satisfaction with the MyTelkomsel mobile application. This research was conducted using a descriptive qualitative method along with data collection techniques in the form of semi-structured interviews and direct observation of active users of the MyTelkomsel application in the city of Medan. Data was obtained from 10 informants selected using purposive sampling techniques, supported by documentation of user interactions with the application. The results of the study indicate that ease of navigation, informative interface display, application response speed, and service feature reliability are the main factors that shape user satisfaction. Users tend to feel satisfied when the application is able to provide a comfortable, efficient, and responsive user experience that meets their needs. The findings of this study are expected to provide strategic input for Telkomsel in improving user experience and service quality as an effort to strengthen customer satisfaction and loyalty.

Drug abuse (Narcotics, Psychotropics, and other Addictive Substances) is a serious problem that can threaten the younger generation, especially in the Panggung Kidul Village area. The lack of public understanding, especially teenagers, regarding the dangers and negative impacts of drug abuse is one of the factors that influence the high risk of substance abuse. Therefore, innovative and interactive educational media are needed to increase public awareness and understanding regarding the prevention of drug abuse. This study offers a solution by designing and developing educational media based on Augmented Reality (AR) technology as a visual and interactive tool that conveys information in an interesting and easy-to-understand manner. The use of smartphones as the main device in AR applications makes this media more easily accessible to various groups of people. The test results using the System Usability Scale (SUS) method showed a user satisfaction level of 96% which is included in the Acceptable category. Thus, this AR-based educational media is expected to be an effective means of increasing public understanding of the dangers of drug abuse and encouraging early preventive efforts.

This study aims to evaluate the Figma-based redesign of the BBPMP Central Java website to enhance user satisfaction and visual consistency with national graphic standards. Using a qualitative descriptive approach and the Research and Development (R&D) method, the process included needs analysis, prototype design, expert validation, and user testing. Data were collected through observation, interviews, and Likert-scale questionnaires. The results show that a user-centered redesign significantly improves navigation, visual appeal, and user satisfaction with the website interface. Figma proved to be an effective collaborative tool for developing interactive and standardized design prototypes. These findings provide strategic insights for educational institutions to enhance the quality and attractiveness of digital platforms.

This research aims to design and build a web-based New Student Admission Information System (PPDB) at Marawang State Elementary School. This system was developed as a solution to improve efficiency, transparency, and accuracy in the process of admitting new students. By utilizing web-based technology, prospective students and parents can register online, upload required documents, and monitor registration status in real-time. The school has the convenience of verifying data, managing information, and generating admission reports automatically. Data security is an important aspect of this system, so it is designed with personal information protection features to maintain the confidentiality of students. The system development method is carried out through a web-based approach that allows flexible access from a variety of devices. The results of the study show that the web-based PPDB system is able to speed up the administration process, reduce manual errors, and increase user satisfaction. The implementation of this system not only provides benefits for Marawang State Elementary School, but can also be used as a model for other schools in adopting a similar information system. Thus, the web-based PPDB system contributes to the modernization of basic education management and supports the creation of more effective and transparent educational services.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

The rapid development of information technology requires training institutions to adapt in order to provide services that are effective, efficient, and aligned with user needs. Don Bosco Sumba Vocational Training Center (BLK) as an institution focused on enhancing community skills faces challenges in providing a system that is easily accessible and usable by trainees, instructors, and administrators. This study aims to design and develop a web- and mobile-based application using the User-Centered Design (UCD) approach to produce a system that truly fits user needs and preferences. The UCD method was applied through several stages, including user and context identification, needs analysis, solution design, and iterative evaluation of the developed prototype. Data were collected through interviews, observations, and questionnaires administered to various users within Don Bosco Sumba BLK. The findings show that the implementation of the UCD method improved usability, streamlined administrative processes, and enhanced user satisfaction with the developed system. Therefore, the development of this UCD-based application not only supports the improvement of service quality but also strengthens the effectiveness of training management at Don Bosco Sumba BLK. The implications of this study highlight the importance of applying a user-centered approach in the development of information systems within the vocational training sector.

Lengthy, disorganized physical queues in conventional food ordering systems, particularly within canteens, significantly compromise customer convenience and operational efficiency. This direct-ordering model often results in crowd congestion, unpredictably long waiting times, and potential friction among patrons. To address these operational issues and substantially enhance user satisfaction, this research proposes the development and implementation of an innovative Web-Based Food Ordering System. This digital platform allows customers to place orders entirely online, effectively eliminating the need for physical queuing. The system's core functionality is the realtime monitoring of order status and queue position, providing transparent information directly to the customer's device. For canteen management, the application offers a crucial tool for integrated and structured order handling, ensuring staff can prepare meals more accurately and promptly. By transforming the ordering process into a streamlined digital workflow, the system is expected to accelerate the service cycle, minimize unnecessary crowding, and substantially improve customer satisfaction through a modernized, well-organized, and highly efficient experience. This initiative represents a significant step toward smarter and more responsive food service operations.

The use of technology in data management has become the key to improving the efficiency and effectiveness of company performance. PT Indofood CBP Sukses Makmur Tbk has implemented a computerized employee attendance system through the Employee Self Service (ESS) application. However, so far there has been no evaluation regarding the level of user satisfaction with the application. This study aims to measure ESS user satisfaction to provide input in future application development. The method used is End User Computing Satisfaction (EUCS) which includes five variables: Content, Accuracy, Format, Ease of Use, and Timeliness. Data was obtained through the distribution of questionnaires and analyzed using the SPSS application. The results of the t-test showed that the Format variable had the most significant influence (t = 4.281), while the other variable showed an insignificant influence individually. However, through the F test, an F value was obtained of 3.791 with a significance of 0.003, which shows that simultaneously all EUCS variables have a significant effect on user satisfaction. These results are expected to be the basis for companies to improve the performance of ESS applications and support the overall work efficiency of employees.

Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.