Publication Search

This research aims to find out the effectiveness of the Canva application in improving students' writing skills in narrative texts in class X-A with a total of 30 students at Sman 1 Kesamben. The design of this research is Pre Experimental using One Group Pretest-Posttest. In One Group Pretest-Posttest there are 3 steps, first the researcher gives a pre-test, then carries out treatment, and after treatment the researcher gives a post-test. To obtain data the author used a test, before the test was tested on students, a trial test was carried out at the same level to determine the reliability and validity of the test. Data analysis techniques use SPSS version 23. The results of this study show that the average pre-test score is 69 and the average post-test score is 82, this shows that the post-test score and average are better than the pre-test. Apart from that, the t-test result showed that the score was sig. (2-tailed) <0.05 means there is a difference between the scores from the pretest and posttest. This means that the hypothesis will not be rejected and the alternative hypothesis will be accepted, which can be interpreted as meaning that there is a significant influence of using Canva on the writing skills of class X-A students at SMAN 1 Kesamben. Based on the results of this research, it is recommended for teachers to use the Canva application in learning English, especially writing skills so that students can learn easily and have fun. Apart from that, it is recommended for future researchers to research the use of the Canva application in learning with other topics to find out students' or teachers' responses to using the Canva application.

The aim of this research is to determine the effect of the advocacy learning model on the PAK learning motivation of class IX students at GBKP Kabanjahe Private Middle School in the 2023/2024 Academic Year, with the hypothesis that there is an influence of the advocacy learning model on the PAK learning motivation of class IX students at GBKP Kabanjahe Private Middle School in the 2023/2024 Academic Year. . With a population of all class IX of GBKP Kabanjahe Private Middle School who are Protestant Christians, totaling 85 people with a sample of 85 people, so this research is a population research. Data was collected using a closed questionnaire with 33 items compiled by the author based on variable indicators according to expert theory. The questionnaire was tested with 35 respondents from class IX students at Berastagi Joint Private Middle School. using a 35 question questionnaire and after being tested, the results of the validity of the questionnaire were found to have a value of rcount > rtable = 0.254-0.773 (there were 2 question items that had validity less than rtable 0.334, namely item number 11 and item number 35 so that the invalid questionnaire was discarded Thus, the valid questionnaire consists of 33 questions. And the reliability of the questionnaire test is at 0.910, the value is very strong and has been tested for validity and reliability. The results of data analysis show that there is an influence of the advocacy learning model on students' PAK learning motivation class IX Private Middle School GBKP Kabanjahe Academic Year 2023/2024. Using the relationship test, rcount > rtable is obtained, namely 0.623>0.213, with a significant relationship test tcount > ttable, namely 9.273>2.000, with the linear regression test Y ̂ = α+bx = 13.91. +0.661X. This equation shows that in a constant state of 13.91, for every addition of variable 38.8%. This means that Ho is rejected and Ha is accepted. The significant influence test with Fcount>Ftable (52.52>4.00) means that there is a positive and significant influence between the advocacy learning model on the PAK learning motivation of class IX students at GBKP Kabanjahe Private Middle School for the 2023/2024 academic year. This research suggests that teachers always use the advocacy learning model in the teaching and learning process, so that the motivation of class IX students at GBKP Kabanjahe Private Middle School, Kabanjahe, for the 2023/2024 academic year will be better.    

Overall patient satisfaction at the Pandega Hospital Inpatient Installation, Pangandaran Regency may be considered less than optimal in terms of suitability and consistency. Concerns regarding appropriateness arise from the lack of services provided by physicians and nurses in a timely and consistent manner. In particular, nurses were not adept at adequately explaining the necessary steps to patients. The level of patient satisfaction is influenced by the standard of service provided, and it is proven that Pandega Pangandaran Regional Hospital is still lagging behind in terms of reliability and responsiveness. The reliability of nurses is still lacking in providing comprehensive, thorough and fast services in accordance with the timeframe and responsiveness that has been determined, with nurses showing reluctance to handle patient complaints. This research was conducted using an explanatory survey method with quantitative methodology. The data analysis methodology used includes instrument testing to assess validity and reliability, research model testing using the coefficient of determination, and hypothesis testing using the t-test. The research results show that the level of service provided at the Pandega Pangandaran Hospital Inpatient Installation is of a high standard. Has the highest score on the empathy indicator and the lowest score on the responsiveness indicator. The level of patient satisfaction at the Pandega Pangandaran Hospital Inpatient Installation is quite high. Has the highest score on the aesthetic indicator and the lowest score on the suitability indicator. The research results found that service quality has a strong and beneficial influence on patient satisfaction at the Inpatient Installation of Pandega Pangandaran Regional Hospital. Thus, there is a direct relationship between the level of excellent service and patient satisfaction at the Pandega Pangandaran Hospital Inpatient Installation.    

Entering the era of regional autonomy, delegating the regent's authority to the Camat as an administrative extension at the sub-district level is very important. The delegation of authority can assist the duties and responsibilities in implementing government. In addition, the delegation of authority is also a benchmark for improving employee performance, especially at the sub-district level. The objectives of this study are: 1) how much influence does the implementation of the policy of delegation of authority of the Regent of Lebak to the Sub-District Head have on employee performance? 2) How much influence does policy implementation have through basic measures and policy objectives and sources, inter-organizational communication, implementation activities, implementing agency characteristics, economic, social, and political conditions, and implementing tendencies? 3) inhibiting indicators in implementing the policy of delegating part of the regent's authority to the Sub-District Head and the efforts made in overcoming these obstacles. The findings of this study are based on the reliability results, which show that the standardized item alpha of the Policy Implementation variable and the Employee Performance variable are in the reliability index standard. The data is declared reliable and can be considered representative, or at least close to the measured variable. Then, the results of the Regression equation show that there is a significant influence of 27.2%, meaning that the Policy Implementation variable on the performance of Bayah District employees, Lebak Regency, Banten Province have a strong enough so that other factors that are not measured have a reasonably weak influence. Then, based on the Coefficient of determination, it shows that the implementation of the policy of delegation of some authority affects the performance of employees in Bayah District and has a strong influence.

Employee performance is not optimal, this can be seen from the level of punctuality which gets the lowest score. Based on the results of an interview with the head of the civil service section at Pandega Pangandaran Regional Hospital, punctuality has decreased because there are still employees coming and going home not according to the specified schedule. The level of quality (quality) is not yet optimal, this is because employees are not doing their work on time according to the predetermined targets. Employee performance is influenced by training and work motivation. Overall, it can be concluded that the training at Pandega Hospital, Pangandaran Regency has not been fully effective. Employee responses to the implementation of training education in 2023 show that there is a lack of achievement. This is because the training materials and techniques are not appropriate to the objectives and cannot be understood by participants. Overall motivation at Pandega Hospital, Pangandaran Regency can be said to be mediocre. This can be seen from the employee's response to the existence indicator which is the lowest indicator. The monthly salary provided is not enough to meet the daily needs of employees, while the health insurance offered by the company functions as a motivating factor for employees. This research uses a descriptive and case study approach, with a quantitative design. The data analysis techniques used include testing instruments to assess validity and reliability, testing research models using the coefficient of determination, and testing hypotheses through t tests and F tests. The results of the research show that (1) Training has a positive and significant effect on employee performance at RSUD Pandega Pangandaran. This means that if training is improved, the performance of employees at Pandega Pangandaran Regional Hospital will also increase. (2) Work motivation has a positive and significant effect on employee performance at Pandega Pangandaran Regional Hospital. This means that if work motivation is increased, the performance of employees at Pandega Pangandaran Regional Hospital will also increase. (3) Training and work motivation have a positive and significant effect on employee performance at Pandega Pangandaran Regional Hospital. This means that if training and work motivation are improved, the performance of employees at Pandega Pangandaran Regional Hospital will also increase.    

Complementary food (MP-ASI) is very important for babies after the age of 6-24 months, because breast milk no longer provides the nutrients needed. In this case, the mother's knowledge of MP-ASI is very influential. The relationship between maternal characteristics and knowledge about providing MP-ASI includes maternal knowledge, maternal age, maternal education, maternal occupation and family income. The aim of the research is to analyze the relationship between maternal characteristics and knowledge about giving local breast milk and manufactured breast milk to babies aged 6 - 24 months in independent practice midwives in the working area of Kotabaru Health Center, Bekasi City in 2023. This research uses Observational Analytical research with a Cross-Sectional research design. The population in this study were mothers who had babies aged 6-24 months in Independent Practice Midwives in the Kotabaru Health Center Work Area, Bekasi City, totaling 99 respondents. The sample used was total sampling. The instrument used in this research is a structured interview which is guided by a checklist which has been tested with validity and reliability tests. The research results from a sample of 99 respondents showed that 70 respondents (70.7%) gave high levels of MP-ASI, 24 respondents (24.2%) gave moderate MP-ASI, and 5 respondents gave low levels of MP-ASI. respondents (5.1%). The chi square test with a significance level of 95% or ɑ = 0.05 obtained a value of p = 0.038 < 0.05. This shows that there is a relationship between maternal knowledge and the provision of MP-ASI to babies aged 6-24 months in independent practice midwives in the working area of Kotabaru Health Center, Bekasi City in 2023.

This study aims to analyze the performance of the OSPF routing protocol in a tree topology using the Cisco Packet Tracer simulator with a router configuration, and a PC/computer. This research involves building a tree topology consisting of several router nodes and PC/computers, where OSPF is implemented to manage routing. Tests were conducted using steady ping on PC to PC, PC to router and PC to server to measure network performance in terms of latency and reliability. The test data was analyzed to evaluate OSPF convergence, network stability and rounting efficiency. The results of this study provide insight into the effectiveness of OSPF in a tree topology.

Investment is an activity of placing funds owned by a person in a certain period with the hope that it will generate profits or increase the value of the investment in the future. This study aims to determine the effect of four variables that are thought to encourage the intention to invest using mobile banking, namely brand trust, facilitating conditions, and behavioral intention. This research is descriptive quantitative research. The research sample was 151 students of the Faculty of Economics and Business, Yogyakarta State University using purposive random sampling method. The research instrument was tested for content validity according to experts, construct using Exploratory Factor Analysis (EFA) and reliability coefficient using Cronbach Alpha. Processing of research data using SEM PLS. The results of this study are brand trust does not significantly affect behavioral intention and use intention of mobile banking investment features. Facilitating conditions have a significant positive effect on behavioral intention and use intention of mobile banking investment features. And behavioral intention has a significant positive effect on the use intention of mobile banking investment features. The managerial implication of this research is that banking marketers with a mobile banking base should create a marketing communication strategy regarding easy access to investment features and investment literacy using mobile banking. So that customers or bank customers will have a high interest in using investment features with mobile banking. 

The advent of 5G technology has marked a significant shift in the telecommunications industry, offering transformative improvements in service speed, latency, and network reliability. This study explores the impact of 5G on operational efficiency and service innovation in telecom companies. By examining the operational performance of three leading telecom companies that have implemented 5G networks, the research identifies key improvements in speed, cost reduction, and resource optimization. The findings highlight that 5G has enabled companies to achieve up to 100 times faster data transfer speeds compared to previous generations, drastically reducing latency and enhancing network reliability. These improvements contribute to increased customer satisfaction, faster response times, and reduced operational costs. Additionally, the integration of artificial intelligence (AI) for network management has optimized resource allocation and further enhanced the efficiency of telecom operations. The research also demonstrates how 5G has driven innovation in service offerings, such as enabling smart cities, IoT integrations, autonomous vehicles, and real-time patient monitoring in healthcare. While the deployment of 5G offers numerous benefits, the study acknowledges challenges such as high infrastructure costs, digital inequality, and regulatory hurdles. Telecom companies must invest significantly in infrastructure and navigate complex regulatory environments to fully realize the potential of 5G. The study concludes that 5G technology has the potential to reshape the telecom sector, fostering greater competitiveness, service quality, and innovation. Future research should focus on the long-term impact of 5G on customer loyalty, its expanded applications, and its role in advancing future technologies such as 6G.

The rapid development of smart city initiatives has significantly increased the adoption of Internet of Things (IoT) technologies to enhance urban services, infrastructure efficiency, and quality of life. However, the large-scale deployment of interconnected IoT devices also introduces critical cybersecurity challenges, including unauthorized access, data breaches, and system vulnerabilities. This study aims to develop an integrated IoT security management model to improve cybersecurity resilience in smart city environments. The research adopts a Design Science Research (DSR) approach, which involves problem identification, literature analysis, model design, implementation, and evaluation. The proposed model incorporates key security components such as Identity and Access Management (IAM), device authentication, secure communication through encryption, firmware and patch management, and continuous monitoring with intrusion detection mechanisms. The model is evaluated through simulation in smart city scenarios, including transportation systems, environmental monitoring, and energy management. The results demonstrate significant improvements in security performance, with increases in threat detection rate, vulnerability reduction, access control effectiveness, and system stability under attack conditions. Quantitative analysis shows improvements of up to 37% compared to conventional approaches, indicating the effectiveness of the proposed model in mitigating IoT-related cybersecurity risks. This study contributes by providing a comprehensive and scalable framework for IoT device security management, which can be applied to enhance the reliability and sustainability of smart city systems. Future research is recommended to validate the model in real-world implementations and integrate advanced technologies such as artificial intelligence for predictive threat detection.

The rapid growth of data-intensive applications has posed significant challenges for classical machine learning (ML) algorithms, particularly in terms of computational efficiency and scalability. This study explores the role of quantum computing in optimizing machine learning performance through the implementation of Quantum Machine Learning (QML), specifically using the Quantum Support Vector Machine (QSVM) model. The research adopts a Design Science Research approach, involving problem identification, model development, system implementation, and performance evaluation. Both classical Support Vector Machine (SVM) and QSVM models are developed and tested using benchmark classification datasets. The results indicate that QSVM outperforms the classical SVM model across multiple evaluation metrics, including accuracy, precision, recall, and F1-score. Additionally, QSVM demonstrates improved computational efficiency by reducing training time, particularly when handling high-dimensional data. These improvements are attributed to the ability of quantum computing to utilize quantum kernel methods and map data into higher-dimensional feature spaces, enabling better pattern recognition and classification performance.  Despite these promising outcomes, the study also identifies several limitations related to current quantum hardware, such as noise, decoherence, and limited qubit availability, which may affect scalability and practical implementation. Therefore, further research is required to enhance quantum hardware reliability and develop hybrid quantum-classical models. In conclusion, quantum machine learning offers a promising solution to overcome the limitations of classical approaches, providing enhanced performance and efficiency for complex data processing tasks in future intelligent systems.

This study aims to analyze purchasing patterns in online transactions using the Apriori algorithm to support sales strategy optimization. The research was conducted on transactional data from an online store selling household and daily-use products. The Apriori method was applied to identify associations between items based on minimum support and confidence thresholds. Four experimental scenarios were tested to compare the reliability of generated rules and determine the strongest item relationships. Data preprocessing included item grouping, transaction coding, and elimination of non-frequent items. The results show several strong association rules with lift ratio values above 1, indicating meaningful item relationships. The strongest rule identified was the association between forks and spoons, forming a highly relevant combination for product bundling strategies. The findings demonstrate that the Apriori algorithm can assist online stores in planning stock, designing product bundling, and improving marketing effectiveness. The research contributes practical insights for business decision-making and highlights the significance of data mining in e-commerce environments.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

The quality of health services is a level that shows the perfection of health services that can create a sense of satisfaction in every patient. Service quality has a positive and significant relationship with the level of patient satisfaction that cannot be denied. By showing the high and low level of patient satisfaction is influenced by the high and low quality of service provided. Service quality starts from patient needs and ends at patient expectations. Satisfied patients are a very valuable asset because if patients are satisfied they will continue to use the services of their choice, but if patients are dissatisfied they will tell others twice as great about their bad experiences. So if there is dissatisfaction with the patient, it is something that needs to be considered. This study aims to determine the analysis of the quality of hospital administration services on patient satisfaction in the outpatient installation unit at the Hospital. This study uses an analytical observational design based on crosssectional, quantitative analysis. The population in this study were 10444 patients. The sampling technique used Accidental sampling, with a sample of 100 samples. The instrument in this study was a questionnaire, the data analysis used was simple linear regression. This study shows that all indicators of service quality (Tangible, Reliability, Responsiveness, Assurance, Emphaty) together have a positive influence on the quality of service of hospital administrative personnel on patient satisfaction in the outpatient installation unit at the Hospital.

The rapid evolution of smart cities, driven by the integration of technologies such as the Internet of Things (IoT) and blockchain, has brought about significant advancements in urban infrastructure and services. However, these developments also introduce new cybersecurity challenges. Introduction: Smart cities are increasingly vulnerable to cyber threats due to the extensive use of interconnected devices and systems. A key security concern is the management of digital identities, which is essential for maintaining the integrity and reliability of city services. Literature Review: Traditional centralized identity management systems face significant security issues, including a single point of failure, data breaches, and limited user control over personal information. In contrast, decentralized solutions, particularly blockchain-based systems, offer enhanced security through their distributed nature, eliminating vulnerabilities associated with centralized models. Materials and Method: This research focuses on blockchain technology’s application in smart city identity management. A decentralized framework is proposed, leveraging cryptographic techniques, consensus mechanisms, and smart contracts to ensure data security, integrity, and privacy. Results and Discussion: The implementation of blockchain for identity management significantly improves attack tolerance, data integrity, and transparency. The decentralized approach mitigates the risks associated with central authorities, ensuring that user data remains secure and verifiable. However, scalability, interoperability, and regulatory compliance challenges remain. Blockchain solutions must be optimized for large-scale smart city applications and aligned with legal standards to achieve widespread adoption. Future research should focus on overcoming these challenges to create a more secure and resilient smart city infrastructure.

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.

The problems faced in this study include (1) How does managerial competence affect employee performance at the Sambongpari Health Center, Tasikmalaya City? (2) What is the effect of motivation on employee performance at the Sambongpari Health Center, Tasikmalaya City? (3) How does managerial competence and motivation affect employee performance at the Sambongpari Health Center, Tasikmalaya City?. This study aims to study, know, and analyze (1) The influence of managerial competence on employee performance at the Sambongpari Health Center, Tasikmalaya City. (2) The effect of motivation on employee performance at the Sambongpari Health Center, Tasikmalaya City. (3) The influence of managerial competence and motivation on employee performance at the Sambongpari Health Center, Tasikmalaya City. The method used in this study is explanatory survey, while the technical data analysis is validity test, reliability test, descriptive statistics, Inductive Statistical Analysis (Inferential) with Multiple Regression. The results of the study inform that (1) Managerial competence has a positive effect on employee performance at the Sambongpari Health Center, Tasikmalaya City. This means that if managerial competence is improved, the performance of employees at the Sambongpari Health Center in Tasikmalaya City will also increase. (2) Motivation has a positive effect on employee performance at the Sambongpari Health Center, Tasikmalaya City. This means that if motivation is increased, the performance of employees at the Sambongpari Health Center in Tasikmalaya City will also increase. (3) Managerial competence and motivation have a positive effect on employee performance at the Sambongpari Health Center, Tasikmalaya City. This means that if managerial competence and motivation are improved, the performance of employees at the Sambongpari Health Center in Tasikmalaya City will also increase.

The problems faced in this study include (1) How is advertising at BNI Tasikmalaya Branch? (2) What is the customer's decision to save at BNI Tasikmalaya Branch? (3) How does advertising affect the customer's decision to save at BNI Tasikmalaya Branch? This research aims to study, know, and analyze (1) Advertising at BNI Tasikmalaya Branch. (2) The customer's decision to save at BNI Tasikmalaya Branch. (3) The influence of advertising on the customer's decision to save at BNI Tasikmalaya Branch. The method used in this study is explanatory survey, while the technical data analysis is validity test, reliability test, descriptive statistics, Inferential Statistical Analysis with Simple Regression. The results of the study inform that (1) Advertising at BNI Tasikmalaya Branch is high. With the highest score on the sales response indicator and the lowest score on the persuasive influence indicator (pre/post preference testing).  This means that advertising is heavily influenced by sales response indicators. (2) The customer's decision to save at Bank BNI Tasikmalaya Branch is very high. With the highest score on the customer compatibility indicator and the lowest score on the dramaturgy indicator. This means that the customer's decision to save at Bank BNI Tasikmalaya Branch is greatly influenced by customer compatibility indicators. (3) Advertising has a positive effect on the customer's decision to save at Bank BNI Tasikmalaya Branch. This means that if advertising is improved, then the customer's decision to save at Bank BNI Tasikmalaya Branch will also increase.

The problems faced in this study include (1) How does promotion affect the job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel? (2) What is the effect of remuneration on job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel? (3) What is the effect of promotion and remuneration on job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel? This study aims to study, know, and analyze (1) The effect of job promotion on job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel. (2) The effect of remuneration on the job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel. (3) The effect of position promotion and remuneration on job satisfaction of Tasikmalaya City Police Sabhara Unit Personnel. The method used in this study is explanatory survey, while the technical data analysis is validity test, reliability test, descriptive statistics, Inductive Statistical Analysis (Inferential) with Multiple Regression. The results of the study inform that (1) Position promotion has a positive effect on job satisfaction in the Personnel of the Tasikmalaya City Police Sabhara Unit. This means that if the promotion of the position is increased, then job satisfaction in the Tasikmalaya City Police Sabhara Unit Personnel will also increase. (2) Remuneration has a positive effect on job satisfaction in the Personnel of the Tasikmalaya City Police Sabhara Unit. This means that if the remuneration is increased, then job satisfaction in the Tasikmalaya City Police Sabhara Unit Personnel will also increase. (3) Position promotion and remuneration have a positive effect on job satisfaction in the Personnel of the Tasikmalaya City Police Sabhara Unit. This means that if position promotions and remuneration are increased, job satisfaction in the Tasikmalaya City Police Sabhara Unit Personnel will also increase.

The problems faced in this study include (1) How does the quality of nurse services affect patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital? (2) How do paramedic facilities affect patient satisfaction in the Inpatient Room of the Regional Public Service Agency of Banjar City General Hospital? (3) How does the quality of nurse services and paramedic facilities affect patient satisfaction in the Inpatient Room of the Regional Public Service Agency of Banjar City General Hospital? This study aims to study, know, and analyze (1) The effect of nurse service quality on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of Banjar City General Hospital. (2) The effect of paramedic facilities on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of Banjar City General Hospital. (3) The effect of the quality of nurse services and paramedic facilities on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital.The method used in this study is an explanatory survey, while the data analysis techniques, namely validity tests, reliability tests, descriptive statistics, Inferential Statistical Analysis with Multiple Regression. The results of the study inform that (1) The quality of nurse services has a positive effect on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital. This means that if the quality of service is improved, then patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital will also increase. (2) Paramedic facilities have a positive effect on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital. This means that if paramedic facilities are improved, patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital will also increase. (3) The quality of nurse services and paramedic facilities has a positive effect on patient satisfaction in the Inpatient Room of the Regional Public Service Agency of Banjar City General Hospital. This means that if the quality of nurse services and paramedic facilities is improved, patient satisfaction in the Inpatient Room of the Regional Public Service Agency of the Banjar City General Hospital will also increase.