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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.

Public service is a key focus for the government in improving the quality of life of the community. The implementation of e-government is the government's effort to increase the efficiency, transparency, and accessibility of public services through the utilization of information and communication technology. The Department of Population and Civil Registration (Disdukcapil) of Padang City has implemented an online service innovation called SIRANCAK to facilitate the community in accessing population administration services. However, there are still several obstacles such as lack of socialization, uncertainty in procedures, and lack of public understanding in using the SIRANCAK online service system. This study aims to analyze the reliability, responsiveness, and assurance of the services provided by the SIRANCAK online service, as well as provide recommendations to improve the quality of public services at the Disdukcapil of Padang City.

This research aims to analyze the influence of the marketing mix and service quality This study aims to analyze the influence of the marketing mix and service quality on customer satisfaction and its impact on customer loyalty at PT Delta Primalab Scientific. The marketing mix, which includes product, price, place, and promotion, is considered a crucial element in influencing customer satisfaction. In addition, service quality, which encompasses responsiveness, reliability, and empathy, also plays a significant role in building customer satisfaction and loyalty. This research employs a quantitative method using a survey technique (questionnaire) involving a sample of customers from PT Delta Primalab Scientific. The population of this study consists of 61 customers of PT Delta Primalab Scientific. The sampling technique used is the Slovin method, with a sample size of 53 respondents. Data analysis was conducted using SEM-PLS to determine the direct influence between the variables studied. The research results show that the marketing mix significantly influences customer loyalty (β₁ = 0.352, t = 3.747, p = 0.000). Service quality significantly affects customer loyalty (β₂ = 0.319, t = 2.478, p = 0.014). Customer satisfaction significantly impacts customer loyalty (β₃ = 0.320, t = 2.690, p = 0.007). The marketing mix significantly influences customer satisfaction (β₄ = 0.453, t = 3.799, p = 0.000), and service quality significantly influences customer satisfaction (β₅ = 0.445, t = 3.830, p = 0.000).

Radiology services are a crucial component of the healthcare system that requires efficiency in its processes. Resource limitations and increasing demand for services underscore the importance of improving efficiency. To enhance service quality and operational efficiency, the implementation of an integrated information system has become a key focus for hospital management. Improving service quality and operational efficiency through the application of an integrated information system is also dependent on the reliability and performance of the system itself. This study aims to examine the relationship between the implementation and performance of an integrated information system with service efficiency in enhancing service quality in the radiology department of RSUD Kota Bogor. The research uses a quantitative approach with two independent variables: the implementation of the integrated information system and the reliability and quality of the integrated information system. The dependent variable is the quality of radiology services, and the intervening variable is radiology service efficiency. Data collection methods include observations, questionnaires, and documentation studies. The sample consists of 30 employees working in the radiology department of RSUD Kota Bogor and 30 patients receiving services in the radiology department. Data processing and presentation were conducted using path analysis with Structural Equation Modeling (SEM-PLS) using SmartPLS software. The results of the data analysis indicate that: (1) The implementation of the integrated information system does not have a significant relationship with radiology service efficiency; However, the reliability and performance of the system do have a strong relationship with radiology service efficiency. (2) The implementation and performance of the integrated information system do not have a significant relationship with service quality in the radiology department. (3) Radiology service efficiency has a significant relationship with service quality in the radiology department. (4) Radiology service efficiency, as a mediator, is not strong enough to enhance the relationship between the implementation and performance of the integrated information system and service quality in the radiology department. This study is expected to provide a comprehensive overview of the relationship between the implementation and performance of an integrated information system with service efficiency in enhancing service quality in the radiology department. The findings may serve as input for the management of RSUD Kota Bogor in optimizing the use of an integrated information system to improve radiology service efficiency, which is expected to impact the quality of services in the radiology department.

The purpose of the study was to determine how much the resilience of volleyball extracurricular student training at SMA Muhammadiyah Makarti Jaya in the 2023/2024 school year. The research method uses a survey method with a single variable type. The population in the resilience study amounted to 15 female students in volleyball extracurricular activities and the sample was taken from a total population of 15 female students. Data collection techniques using online questionnaire distribution using Google Form. The reliability value of the questionnaire based on resilience indicators including emotion regulation (0.8422) with a total of 9 items, impulse control (0.8066) with a total of 6 items, optimism (0.8066) with a total of 5 items, and self-efficacy (0.7090) with a total of 5 items, The data grouping analysis technique uses a Likert scale. The results of the study are in accordance with the indicators that the average athlete who has good emotional regulation in extracurricular activities is 36.33 (46%) with good criteria. The average athlete's ability to impulse control is 24.73 (53%) with very good criteria. The average athlete's ability to deal with optimism during training is 23.53 (47%) with good criteria. The average athlete's ability to solve self-efficacy problems during training is 16.46 (33%) with good criteria. In the overall answer of the student group, the results of the Interval value of all students' answers were 33% very good, 33% good, and 33% of students' answers were sufficient. The validity hypothesis test shows the results with a significant level of 5%, therefore getting the results of r count> r table with r table 0.553 with a valid statement. Based on data analysis and discussion of the research results, it can be concluded that there are student resilience disorders that are in accordance with the indicators of each question item given to students who experience resilience disorders. The majority of students with low resilience levels will show answers that match what is inside the student according to the wishes of the heart.

Quantitative methods were used in this study to determine how lifestyle impacts personal financial management. Lifestyle includes the decisions a person makes about how they live their daily lives, especially about how they spend their time and money. The process of effectively managing a person or family's income, expenses, and assets to achieve short-term and long-term financial goals is known as personal financial management. Planning, budgeting, investing, investing, and debt management are all part of this. This questionnaire was circulated and completed by 66 people. Validity, reliability, and classical assumption tests have been used to collect data. Simple linear regression analysis was also used in this research methodology. The results of this study show that lifestyle has a positive impact on personal financial management.

This study aims to analyze user satisfaction with the Hospital Management Information System (SIMRS) implemented at Pelni Hospital using the SERVQUAL (Service Quality) method. The SERVQUAL method is used to measure Service Quality based on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The research was conducted by distributing questionnaires to 31 respondents, including patients, medical staff, and administrative staff who actively use SIMRS. The results indicate that, overall, the quality of SIMRS services at Pelni Hospital is categorized as "Good" across all dimensions measured. The reliability dimension scored the highest (4.13), indicating that the system is reliable in providing services as promised. The assurance (4.06) and empathy (3.94) dimensions also received good scores, indicating that users feel safe and well-attended while using the system. However, the responsiveness (3.77) and tangibles (3.87) dimensions showed areas for improvement, such as the speed of response to user requests and improvements in the system's physical appearance, which can affect user comfort. The conclusion of this study is that SIMRS at Pelni Hospital provides adequate and satisfactory services, but improvements in the responsiveness and tangibles aspects are necessary to enhance overall user satisfaction.

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.

Basic Trauma Cardiac Life Support (BTCLS) training is crucial for emergency preparedness among high school students. This study evaluated the effectiveness of BTCLS training for Al-Fityan Private High School students, focusing on skill acquisition and knowledge retention.A pretest-posttest design assessed the BTCLS training program's efficacy using a validated research instrument. The instrument's validity and reliability were established through content validation, construct validation, and internal consistency measures (Cronbach's Alpha). The program, integrated into the school curriculum, was delivered by certified healthcare professionals and emphasized hands-on practice.A paired t-test compared BTCLS knowledge and skill scores before and after training. Results showed statistically significant improvement from pretest (M = X, SD = Y) to posttest (M = X', SD = Y'); t(df) = t-value, p < 0.05. The mean score increase was Z (95% CI [lower bound, upper bound]), demonstrating a substantial positive effect on students' emergency response capabilities.The significant improvement in test scores suggests the BTCLS training program effectively enhanced students' knowledge and skills in trauma and cardiac life support. This aligns with previous research indicating that early skill acquisition in high school students can improve bystander intervention and potentially increase survival rates in emergencies.The study demonstrates the feasibility and importance of integrating comprehensive life support training into high school curricula. Future research should explore long-term skill retention and the broader community impact of BTCLS-trained high school students.

The Employee Attendance Information System is a crucial component in human resource management at SMP Negeri 15 Jakarta, a vocational high school institution. This study aims to analyze the quality of the attendance information system using the McCall Method, which provides a comprehensive evaluation framework. The analysis measures indicators of correctness, usability, reliability, and efficiency. The evaluation results show that the attendance system achieved average scores ranging from 0.74 to 0.76, with a total score of 298 out of an ideal score of 140, placing it in the good category. While the system functions well and positively contributes to management, there remains significant room for further development. This study identifies factors influencing system quality, which can serve as a basis for future improvements. The recommendations derived are expected to support the development of a more effective and efficient attendance information system, enhancing employee discipline and productivity, and contributing to improved educational quality for students.

Installation take care road is one of facility House the most sick used by clients or patient and also is access First for every patient For get the care needed , so that very important for House Sick For ensure that every means infrastructure , and also the provision of quality human resources For ensure quality service in maintain satisfaction patient . Research This done For know influence partial and simultaneous from performance nurses , facilities , and quality service to satisfaction patient . Research This is study quantitative descriptive , for describe influence between variable X to Y, which is done against 101 patients take care Road in the House Bandung Adventist Hospital , data inside study This collected use questionnaires that have been tested for validity and reliability, which are then processed use SPSS application , and presented in form table . Found that performance nurse No own influence significant to satisfaction patient with mark significant 0.249, while facilities and quality service own influence significant with mark respectively 0.006 and 0.000. In simultaneous performance nurses , facilities and quality service own influence significant with value 0.000 with 67.9% of satisfaction patient explained by the variables discussed in study this . Satisfaction patient influenced by performance nurses , facilities , and quality service in a way together , because That important for House Sick For Keep going maintain and improve it .

This study aims to explore the influence of work motivation, leadership style, and compensation on employee performance at Rumah Sakit Advent Bandung. With a total population of 720 employees, the study uses a simple random sampling technique to select a sample of 88 respondents, deemed sufficiently representative. Data collection is conducted through a Likert-scale questionnaire designed to capture respondents' perceptions of work motivation, leadership style, and compensation variables. To ensure data quality, the instrument's validity is tested through factor analysis, and its reliability is measured using Cronbach’s Alpha to guarantee consistency in results. Hypothesis testing is carried out using classical assumption tests and multiple linear regression analysis via SPSS version 27.The results reveal that work motivation and compensation have a positive and significant impact on employee performance, indicating that higher motivation and compensation are associated with improved employee performance. In contrast, leadership style does not show a significant effect on employee performance, possibly due to varying perceptions of the role of leadership within this organizational context. Collectively, work motivation, leadership style, and compensation variables have a significant effect on employee performance. The obtained R Square value of 0.309 indicates that 30.9% of the variation in employee performance can be explained by these three variables, while the remaining 69.1% is influenced by other factors outside this model, such as work environment, organizational culture, or other individual factors. These findings provide valuable insights for management in designing strategies to enhance employee performance.

This study aims to analyze user satisfaction with the inventory management application for Regional-Owned Assets (BMD) at SMK Negeri 17 Jakarta using the SERVQUAL method. The application was implemented to enhance asset management efficiency, but challenges such as data inaccuracies and limited user skills hinder its effectiveness. The SERVQUAL method evaluates five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy, by measuring the gap between user expectations and perceptions. The findings reveal that all service quality dimensions have negative GAP values, particularly in reliability and tangibles, indicating that the application has not fully met user expectations. Therefore, improvements in system reliability, application design, and technical training are essential to optimize the use of the application for effective asset management in the school.

This study aims to analyze the quality of internet service at CV. Asri Jaya Mandiri using the Quality of Service (QoS) and SERVQUAL methods. QoS measures network performance based on parameters such as throughput, delay, jitter, and packet loss, while SERVQUAL evaluates employees' perceptions and expectations across five dimensions: tangible, reliability, responsiveness, assurance, and empathy. The analysis reveals significant gaps, particularly in reliability and empathy, with unstable connections and inadequate access speed being the primary issues. To improve Service Quality, the study recommends infrastructure upgrades, increased bandwidth, and enhanced communication within the IT team. Implementing these measures is expected to ensure smooth operations, improve employee satisfaction, and enhance the company’s competitiveness.

This study uses a descriptive method with a quantitative approach to analyze the numeracy literacy ability of grade XII IPS-6 students at SMAN 1 Mojosari. The sample consisted of 34 students who were selected using the purposive sampling technique. This research began with the identification of the problem of low numeracy literacy in mathematics. A numeracy test in the form of 8 story questions related to statistics is given as a pretest to measure students' abilities. The data was analyzed using statistical tests with the help of SPSS to test the validity, reliability, and results of the pretest. The results showed that 73.53% of students were in the advanced category, and 26.47% of students were in the capable category. Students are able to do histogram-shaped problems well, but have difficulty in presenting data in polygon form. These findings support previous research that states that students often have difficulty processing information from graphs and tables. Other factors that affect students' ability to flip

The Fast Fourier Transform (FFT) method for solving the 1-D heat diffusion equation offers an efficient approach for resolving partial differential equations (PDEs) with various time steps . FFT is used to transform the 1-D heat diffusion equation into the frequency domain and back to the time domain through inverse FFT. Using mathematical modeling with initial and Dirichlet boundary conditions, the numerical solutions produced by FFT are compared with analytical solutions. The accuracy of the method is validated using MAE and MSE calculated in Matlab. At several time intervals , the obtained MAE and MSE values indicate a good agreement between the numerical and analytical solutions, with very small errors. Numerical stability analysis confirms the reliability of the FFT method across various  The variation in time step  has a significant impact on the accuracy and stability of the solution. Smaller time steps improve accuracy and stability but require longer computation times. The optimal time step selected in this study is  Increasing the number of discretization points  also enhances accuracy but implies an increase in computational load and memory usage. The FFT method demonstrates good numerical consistency with increasing  

The background of this research focuses on the development of the beauty salon industry which is getting heavier. Beauty salons offer a variety of services aimed at improving the appearance. Beauty salons must understand the factors that affect customer satisfaction. This study aims to analyze the influence of facilities and service quality on the level of customer satisfaction in beauty salons in Talawi District, Sawahlunto City. This research is a type of causal associative research using a quantitative approach. The data collection technique used in this study is to distribute a questionnaire through a g-form that has been tested for validity and reliability to 82 respondents as a research sample. . The data collected includes personal information of salon respondents regarding the facilities provided and the quality of services received. The results of the study show that facilities and service quality significantly affect customer satisfaction. The results of the hypothesis test showed that the three hypotheses proposed were accepted. The Adjusted R Square value of 0.745 shows that 74.5% of the variation in customer satisfaction can be explained by facilities and service quality, while 25.5% can be explained by other variables outside this study. Therefore, it is important for beauty salons to improve facilities and service quality to increase customer satisfaction in order to meet customer expectations and increase their loyalty to the salon.

The finding of phenomena related to the physical and non-physical work environment on employee performance at the Grand Lagoi Hotel Bintan is the reason for conducting this research. This research is aimed at investigating how the physical and non-physical work environment is influenced by employee performance. By using a survey methodology based on a quantitative causal associative framework, this research seeks to explain the causal dynamics that occur. Then, the population used was employees at the Grand Lagoi Hotel Bintan. A total of 77 respondents participated in this study, selected through saturated sampling techniques to ensure comprehensive representation. To assess the validity and reliability of the questionnaire—the main instrument for data collection using a Likert scale. For data analysis, we used the SPSS 20.00 application, ensuring robust and accurate processing of the findings. The resulting findings indicate that the results of the Physical and Non-Physical Work Environment have a significant influence on Employee Performance at Grand Lagoi Hotel Bintan.

The discovery of phenomena related to visitor experiences regarding Generation Z's interest in returning to the Linggai Park tourist attraction is the main reasons for conducting this research. The goals of the research is to analyze how interest in returning to visit is influenced by the visitor's experience. A survey method combined with a causal associative quantitative methodology is used in this kind of research to investigate cause and effect. The population is generation Z visitors to the Linggai Park tourist attraction. 337 respondents in all were selected for this study utilizing the purposive sampling approach, a non-probability sampling methodology.. The questionnaire employed as a data collection instrument is evaluated for validity and reliability using the Likert scale. SPSS 20.00 and Smart PLS 3.0 were utilized to handle research data. This research indicate that the outcomes of visitor experiences have a significant influence on Generation Z's interest in returning to the Linggai Park tourist attraction.

Credit approval prediction is one of the critical challenges in the financial industry, where the accuracy and efficiency of credit decision-making can significantly affect business risk. This study proposes an outlier detection method using the Gaussian Mixture Model (GMM) combined with Extreme Gradient Boosting (XGBoost) to improve prediction accuracy. GMM is used to detect outliers with a probabilistic approach, allowing for finer-grained anomaly identification compared to distance- or density-based methods. Furthermore, the data cleaned through GMM is processed using XGBoost, a decision tree-based boosting algorithm that efficiently handles complex datasets. This study compares the performance of XGBoost with various outlier detection methods, such as LOF, CBLOF, DBSCAN, IF, and K-Means, as well as various other classification algorithms based on machine learning and deep learning. Experimental results show that the combination of GMM and XGBoost provides the best performance with an accuracy of 95.493%, a recall of 91.650%, and an AUC of 95.145%, outperforming other models in the context of credit approval prediction on an imbalanced dataset. The proposed method has been proven to reduce prediction errors and improve the model's reliability in detecting eligible credit applications.