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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.

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