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Satisfaction is very important in assessing service quality, especially in health services. Physiotherapy services are one of the medical rehabilitation services in hospitals aimed at individuals to restore movement and body functions are required to provide the best service. Dr. Hafiz Hospital (RSDH) Cianjur is the first private hospital in Cianjur, which strives to improve the quality of services in all types of services including physiotherapy services. However, the data on quality indicators of the Physiotherapy Unit showed a decrease in visits. The complaint data that is often received is about administration, service procedures, communication and attitude of officers and others. This study aims to find out the picture of patient satisfaction with physiotherapy services at Dr. Hafiz Cianjur Hospital . This type of research is quantitative with a descriptive method, the population in this study is 87 physiotherapy patients obtained using purposive sampling techniques. Data was obtained using a questionnaire, then the data was processed and univariate analysis. The results showed that satisfaction based on physical evidence (tangible) included high (41.4%), reliability had high satisfaction (41.4%), accuracy (resvonsiveness) had high satisfaction (43.7%), assurance had moderate satisfaction (44.8%), and care (empathy) have moderate satisfaction (47.1%). The hospital is advised to evaluate the quality of service to meet patient satisfaction, so that it can determine the next steps to be taken in measuring wisdom in the future.

Public service is a key aspect of government performance that directly affects community satisfaction. This study examines the quality of public service at the Bumi Ayu Subdistrict Office in Dumai Selatan, Dumai City, using five dimensions: reliability, responsiveness, empathy, tangibles, and assurance. Data were collected through observation, interviews with two informants (one official and one service user), and document review. The findings indicate that public services are generally effective. Staff demonstrate adequate reliability and responsiveness, show empathy in serving the community, provide sufficient facilities to support service activities, and foster public trust through professional conduct. Supporting factors include well-organized service procedures, adequate infrastructure, and attentive staff, while limitations involve dependency on the subdistrict head for document approval, limited staff during peak hours, and some facility constraints. The study highlights the need to improve service timeliness, increase staff availability, and improve facilities to optimize public service delivery. Enhancing training programs for staff and implementing technology solutions for document processing could contribute to further improving service quality. Future research could focus on expanding the scope of public service assessments to include citizen satisfaction and feedback, providing insights into the areas requiring attention for continuous improvement.

This research aims to empirically test the effect of sustainability report disclosure on company value with profitability as a moderating variable (Empirical Study of Mining Companies Listed on the Indonesia Stock Exchange 2019-2023). The population of this research is all mining companies listed on the Indonesia Stock Exchange for 2019-2023, totaling 63 companies. The sample used in this research was 12 companies. This research uses a purposive sampling technique, namely a sampling technique that provides the opportunity to become a sample member with certain criteria. Then the data collection method is through questionnaires and data analysis using SPSS 25 which includes validity, reliability, classical assumption tests, multiple regression analysis, hypothesis testing using the t test and R2 test. The results of this research show that the Sustainability report variable has a positive effect on the value of mining companies listed on the Indonesia Stock Exchange in 2019-2023, so (H1) is accepted. The Profitability variable has no effect on the Company Value of mining companies listed on the Indonesia Stock Exchange in 2019-2023, so (H2) is rejected. The profitability variable is not able to moderate the relationship between sustainability reports and company value.

This study was conducted to analyse effect of compensation, competence, and job satisfaction on the organizational commitment of PT. Pos Indonesia Erlangga Branch Semarang and the sample used is 102 employees. This study uses primary data and data collection methods using questionnaire. The results of data processing are in the form of respondent descriptions, variable descriptions, validity test results, reliability test results, F test results, coefficient of determination test results (R2), and hypothesis test results. The results show that compensation variable has a positive and significant effect on organizational commitment, competence variable has a positive and significant effect on organizational commitment, and job satisfaction has a positive and significant effect on organizational commitment

The purpose of this study is to analyze the influence of organizational culture and non-physical work environment on the work-life balance of Generation Z employees in Bekasi. Generation Z, born between 1997 and 2012, has unique characteristics and special needs that companies need to understand in the world of work. An integrative and collaborative organizational culture and a flexible, adaptable, and non-physical work environment are believed to play an important role in achieving work-life balance. The research method used is quantitative with data collection using a questionnaire of 50 respondents, then processing it using SmartPLS to test validation, reliability, and relationships between variables. The results show that organizational culture significantly affects work life balance, while the non-physical work environment has no significant effect on work life balance.

Public service delivery in taxation is a vital function of government in fulfilling citizens' administrative rights, particularly through the issuance of the Taxpayer Identification Number (NPWP). The quality of this service directly influences taxpayer satisfaction, understanding, and trust in tax institutions. This study aims to analyze the quality of public service in NPWP issuance at the Primary Tax Office (KPP Pratama) of Dumai City and to identify supporting and inhibiting factors affecting service implementation. This research employed a descriptive qualitative approach. Data were collected through observations, in-depth interviews with tax officers and taxpayers, and documentation studies. Data analysis was conducted using an interactive model consisting of data reduction, data presentation, and conclusion drawing. The assessment of service quality was based on the SERVQUAL framework developed by Zeithaml and Parasuraman, encompassing five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The results show that NPWP issuance services at KPP Pratama Dumai City are generally well implemented. Adequate facilities, adherence to standard operating procedures, responsive officers, data security assurance, and courteous service attitudes support service quality. However, challenges remain, particularly related to limited waiting room capacity during peak periods, varying levels of taxpayer understanding, and the need for clearer procedural information. Continuous improvement in communication, service management, and capacity planning is required to enhance public service quality.

The purpose of this research is to find out how much influence competition has on sales at warung koki street street. The formulation of the problem in this research includes whether price, place, promotion, distribution, people, process and product influence sales at warung koki kaki lima cakung. This research is field research with descriptive quantitative research methods. Primary and secondary data sources. Data collection techniques use observation, questionnaire and documentation methods. The sample in this research was 99 consumers of warung koki street street, who then analyzed the data using validity tests, reliability tests, normality tests and simple linear regression.   The competition variable (x) has a significant influence on sales at the cakung street food stall, east jakarta. It can be seen that tcount is = 2.670> ttable is = 2.024, so it can be concluded that ha is rejected and ha is accepted. Based on the research results by comparing the fcount>ftable values, it was obtained that it was 7.131 > 4.10, which means positive. Meanwhile, a p-value of 98 was obtained in the sig column, 0.011 < 0.05, meaning it is significant. So it can be concluded that competition can have a significant positive effect on sales at warung koki kaki cakung.    

This study focuses on black-box testing of JivaJoy software, an online product stock management and ordering system. The primary goal of this research is to evaluate the functionality and performance of the system's key features, including profile management, CRUD operations for admin and customer accounts, product stock management, shopping cart, order management, and AI counseling. Black-box testing was applied to assess whether these features meet expected operational standards and user requirements without considering the internal code structure. The test results indicate that most features function as expected. However, some issues were identified related to input validation, particularly with email format, phone number length, file uploads, and product stock management. Additionally, the order management and AI counseling features showed deficiencies in error handling and input validation. Based on these findings, the study recommends improvements in input validation, product stock management, shopping cart functionality, and AI counseling systems to enhance the reliability and performance of the JivaJoy platform. These enhancements are essential to deliver more efficient, secure, and optimal services, ensuring better user experiences and customer satisfaction.

The purpose of this research is to determine the effect of motivation ang compensation on employee performance in the Pa‟tengko Tourism Village. The type of research used is quantitative research. The population in this research is all 32 employees in the Pa‟tengko Tourism Village and the sample used is saturated sampling. That is,the entire population was sampled. The methods used in this research include Validity Test, Reliability Test, Normality Test, Multicollinearity Test, Heteroscedasticity Test, Multiple Linear Regression Test, t Test (Partial), f Test (Simultaneous), Correlation Test and Determination Test (R2). The data was processed using SPSS software version 26. The results of this research show that (1) motivation has a positive and significant effect on employee performance in Pa‟tengko Tourism Village. (2) compensation has a positive and significant effect on employee performance in Pa‟tengko Tourism Village. (3) motivation and compensation simultaneously have a positive and significant effect on employee performance in the Pa‟tengko Tourism Village.

The aim of this research is to determine the dominant indicators of the variables Employee Job Satisfaction, Organizational Justice and Organizational Commitment in the Population and Civil Registration Service of Padang City and to determine the partial influence of Organizational Justice and Organizational Commitment on employee job satisfaction in the Population and Civil Registration Service Padang city. This type of research is quantitative, the sampling technique used is a total sampling technique which is taken based on the entire population, because the population is less than 100 people. The research sample consisted of 46 people. The types of data used in this research are primary data and secondary data. The technique for analyzing the data uses validity and reliability tests using the SPSS version 21.00 program. The hypothesis was tested using the T test. The results of this research show (1) Organizational Justice has a significant effect on employee job satisfaction at the Padang City Population and Civil Registration Service (2) Organizational Commitment has a significant effect on employee job satisfaction at the Padang City Population and Civil Registration Service. This research aims to determine the dominant indicators of employee job satisfaction variables.

The use of artificial intelligence is projected to have a significant impact on the preparation of regional government financial reports, especially in terms of reliability and efficiency. This research aims to analyze the use of AI in preparing regional government financial reports which was previously carried out conventionally and the challenges faced by regional governments in adopting it. This research uses a literature study method to identify trends and findings related to the use of AI in regional financial accounting. The research results show that AI is able to increase efficiency and reliability, although there are challenges in its application, such as the need to adapt and improve the quality of human resources and vulnerabilities in financial data security.

Purchase Decision is a decision to buy a product or brand you like, but two factors can arise between purchase intention and purchase decision. This research aims to determine the influence of online customer reviews, influencer endorsements and price perceptions on purchasing decisions. The type of research used in this research is quantitative research. In determining the research sample, the Slovin formula was used, where the number of samples obtained was 100 samples. Data was collected using a questionnaire that had been tested for validity and reliability and processed using SPPSS 26. Based on the partial test, the Online Customer Review variable had a positive and significant effect on the decision to purchase Eiger products in the Indonesian North Sumatra Climber Community. A value of t-count of 8.139 > 1.66 t-table was obtained, then the Endorsement Influencer variable had a positive and significant influence on Purchasing Decisions, a value of t-count of 2.169 > 1.66 t-table was obtained, and the Price Perception variable had a positive and significant influence on Purchase Decisions with a t-count value of 3.885 > 1.66 t-table . Simultaneous test results show that the online customer review (X1), influencer endorsement (X2) and price perception variables (X3) together have a positive and significant effect on the decision to purchase Eiger products in the Indonesian North Sumatra climbing community.

Jombok Village is one of the villages that receives assistance from the Family Hope Program in Ngoro District, Jombang Regency, with a total of 245 families distributed every two months based on predetermined criteria. The majority of people's work is as farmers and traders because it suits the skills of the local community. Livelihood conditions with an uncertain amount of income each month make it difficult to fulfill daily living needs. So children prefer to work to help the family economy rather than continue higher education. With the help of the Family Hope Program (PKH) in the education sector, it is hoped that it will be able to increase the educational participation rate of poor children and this assistance is also expected to be able to reduce the burden on household expenses. These limitations make it more difficult for them to find better and more stable jobs, leading to dependence on social assistance. The aims of this research are (1) to determine the influence of the income level of the head of the family on the educational level of children receiving the Family Hope Program (PKH) in Jombok Village, Ngoro District, Jombang Regency, (2) to determine the influence of the Family Hope Program on the educational level of children receiving the Family Hope Program (PKH). ) in Jombok Village, Ngoro District, Jombang Regency. The method used in this research is a quantitative method with a descriptive approach. Data collection techniques use observation, questionnaires and documentation. The location of this research is Jombok Village, Ngoro District, Jombang Regency. The subjects in this research were recipients of the Family Hope Program (PKH) assistance who had dependent high school children. The data processing used in this research is validity testing, reliability testing, and classical assumption testing. The data analysis used in this research is multiple linear regression. The results of this research show that (1) The income level of the head of the family has a positive and significant effect on the education level of children receiving PKH in Jombok Village, Ngoro District, Jombang Regency, which can be proven by obtaining a value of t count > t table (3,265 > 1,666) and a significance value smaller than 5 % (0.002 < 0.05) (2) The Family Hope Program has a positive and significant effect on the education level of children receiving PKH in Jombok Village, Ngoro District, Jombang Regency which can be proven by obtaining a value of t count > t table (2.088 > 1.666) and a significance value of less than 5 % (0.041 < 0.05).

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.

This quantitative study aims to discover the effect of the Process Oriented Guided Inquiry Learning (POGIL) learning strategy on students' science process skills concerning reaction rate material. The study employs a quasi-experimental design with a pre-posttest control group. The instrument used is a multiple-choice test to measure students' science process skills. The sample consists of all students in the XI IPA class at SMA Negeri 5 Gorontalo, totaling 45 students: 22 in the experimental group and 23 in the control group. Data analysis utilizes the Rasch Model and SPSS 16.0 for hypothesis testing using the Wilcoxon test. The analysis results show that the person reliability value is 0.00, indicating weak consistency in answering the questions, while the item reliability value is 0.71, suggesting that the quality of the test items is quite good. The mean difference in item scores from pre-test to post-test is greater in the experimental group (3.83 logit) compared to the control group (1.59 logit). Wilcoxon test results show significant values < 0.05, with the experimental group having a significant value of 0.00 and the control group at 0.00.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

This study aims to determine the effect of group guidance with problem solving techniques in increasing the learning motivation of class XI.1 students at SMAN 4 Tana Toraja. The method used in this research is quantitative approach with experimental design. The sample used was 30 students from class XI.1 who were purposively selected. Group guidance intervention was conducted for 6 meetings with a focus on the application of problem solving techniques in overcoming academic problems faced by students. Data were collected using a learning motivation questionnaire that had been tested for validity and reliability. The results of data analysis showed a significant increase in students' learning motivation after being given group guidance with problem solving techniques. Based on the results of the study, it can be concluded that group guidance with problem solving techniques is effective in increasing students' learning motivation.

This research is motivated by several problems. The aim of this research is to analyze the influence of food quality and employee service on guest satisfaction at the Pangeran City Padang Hotel. The type of research used in this research is descriptive with quantitative data. The type of data used in this research is primary data. The population of this research is research conducted on guests staying at the Pangeran City Padang Hotel. Questionnaires were distributed to 88 research respondents. With a sampling technique using nonprobability sampling. The data collection technique was carried out using a questionnaire with a Likert scale which had been tested for validity and reliability. Data from this research were processed using SPSS 25.00. The results of this study show that the overall food quality variable is included in the adequate category at 55.68%. Overall employee service is included in the adequate category at 44.32%. Overall guest satisfaction is included in the less satisfied category at 40.60%. The influence of food quality and employee service on guest satisfaction with customized R Square is 51.3% while 48.7% is influenced by other factors.

Probative value refers to the extent to which the evidence provided is able to prove the facts being disputed. Evidence may be relevant in the sense that it relates to the case at hand, but relevance alone does not guarantee that the evidence will be well received or considered to have a significant influence. This study uses a qualitative research method with a conceptual approach. The data collection method was collected using library research, then analyzed using qualitative methods and presented descriptively. The results of the study show that the process of proof in criminal law plays a central role in upholding substantive justice. Evidence not only functions as a mechanism to test the truth of claims or accusations brought in court, but also as a tool to protect the human rights of the accused by ensuring that everyone is considered innocent until proven otherwise. Failure to assess probative value can lead to serious injustice in the form of wrongful conviction or wrongful acquittal. To address this problem, it is necessary to increase technical literacy among legal practitioners, as well as the application of more careful procedures in testing the validity and reliability of evidence.