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This research aims to design an information system for scheduling incoming and outgoing letters at the Asahan District Education Office. Currently, the process of managing letters is still done manually by writing them into a ledger which is inefficient in terms of time and energy. This research uses qualitative methods with data collection techniques through observation, interviews and literature study. The system was designed using the PHP programming language and Unified Modeling Language (UML) for system modeling. The research results show that the designed information system can provide a solution to the problem of managing letters manually by making the data management process easier and faster. This system includes incoming and outgoing mail management features, user management, and report generation, which can improve employee performance in mail administration tasks.

This study aims to analyze the performance of the mailing system information in an expedition company using the Unified Modeling Language (UML) approach. The mailing information system plays a crucial role in the smooth operation of the expedition company, particularly in managing the dispatch and delivery of letters and documents effectively and efficiently. This research uses a descriptive method with a quantitative approach to illustrate and analyze the extent to which the system's performance meets user needs. Data were collected through a questionnaire distributed to 25 respondents, consisting of 17 females and 8 males, to measure three key aspects of the system: user satisfaction, ease of use, and access speed. The results of the study show that the majority of respondents gave very positive assessments of the system. The easeof use aspect received the highest average score (4.4), followed by access speed (4.28) and satisfaction (4.24). However, there are areas that can still be improved, particularly regarding user satisfaction and system access speed for greater optimization. Overall, the study concludes that the mailing information system in the expedition companys functioning well, but the company needs to continue innovating and improving the system's performance to better meet user expectations.

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 this study is to develop a predictive model to predict the trend of the emas price over time and to investigate how this affects important economic variables. As a popular commodity that is regarded as a safe refuge for investments, changes in the price of emas can have a significant impact on a number of economic indicators, such as inflation, consumer spending, and investment decisions. Compiling historical data on emas prices, macroeconomic variables, and other related topics is a component of research methodology. Regression analysis and ARIMA modeling are two methods of deret waktu analysis that can be used to create an andal model of problems. The model's predictive accuracy is then determined by using appropriate statistical metrics. This study's findings provide new and important information about the factors influencing changes in the price of emas and how they affect the economy as a whole. The model that is being used can be used by investors, financial institutions, and policymakers to predict gold price movements and make informed decisions to mitigate risks and capitalize on opportunities. The implications of this research extend all the way to the emas market since it increases our understanding of the close relationship between commodity prices and economic dynamics. The knowledge gained can help create more comprehensive investment and economic policies, which will eventually affect the stability of the economy and economic growth.

We sought to investigate how families in Jorong Balai Panjang Nagari Saniang Baka, X Koto Singkarak District, Solok Regency, teach moral principles to their children. The author is interested in studying the role of parents in developing morals in children in the family environment at Jorong Balai Panjang Nagari Saniang Baka because they want to know about the younger generation who reflect superior ethics (morals). This research highlights several aspects of the depth of information collected from interviews and uses qualitative methods supported by field observation techniques. In District The leader or head of the jorong and friends act as informants to support the research. According to research, parents have a significant influence on the development of their children's moral principles (morals). This research highlights the important role of parents in shaping children's moral character in the family context. Parents play a number of roles, including modeling appropriate language and accent when speaking to their children, influencing their behavior and relationships, being role models and motivators, and teaching their children about religion. If these roles are fulfilled, it is likely that the offspring will have good morals. There are many things that are difficult for parents to regulate regarding children's behavior, such as contact with people outside the household, cell phone use, and the games they play. All of these obstacles lie within the child himself. If the child is willing to change and is willing to listen to the words of advice from his parents then these obstacles can be overcome.

This study aims to design a guidance and counseling system specifically for SMA Negeri 1 Binjai as an extension of a previous study conducted in 2023. The system is developed to enhance the efficiency and effectiveness of counseling services by facilitating better communication between students and guidance counselors. The design process utilizes Unified Modeling Language (UML), a standardized method that enables structured visual design and documentation of software systems. UML is applied through various diagrams, such as use case, and class diagrams, to ensure that the system's requirements and workflows are clearly visualized. The system design has been confirmed by the school as the end user, ensuring alignment with the specific needs of SMA Negeri 1 Binjai. With this design, it is expected that guidance and counseling services will become more responsive and supportive of students' needs in the educational environment. This research offers a practical contribution to the development of a technology-based guidance and counseling system that is relevant and can be widely applied in other high schools.

Implementation of patient safety goals in hospitals is a form of hospital assessment in managing patient safety programs and the quality of services provided by hospitals to patients must ensure that patients are not involved in detrimental risks. Hospitals must implement a safety culture to make patient care safer. Attitudes and pharmacovigilance as well as the need to implement patient safety is the basis for the formation of compliance behavior in implementing patient safety goals. Based on the considerations above, it is very important to analyze the influence of attitudes and pharmacovigilance on the implementation of patient safety as well as safety culture targets as intervening variables. The research method used in this research is quantitative causality research with a cross-sectional research design approach with the aim of examining the influence of attitudes and pharmacovigilance on the implementation of patient safety goals which are mediated by patient safety and strengthened by the existence of a safety culture in the hospital. The samples used in this research were nurses, namely regular and executive inpatient units. The analysis technique used is the Structural Equation Modeling (SEM) technique where statistical data processing uses the Smart PLS program. The results of the study found that attitude and pharmacovigilance had a significant effect on the implementation of patient safety goals, indicating that there was a strong relationship between pharmacovigilance and the implementation of patient safety goals. Attitudes, pharmacovigilance, and safety culture together have a significant influence on the implementation of patient safety goals. Having a good level of understanding of pharmacovigilance and a good attitude have a good safety culture will increase the implementation of patient safety.

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  

This research aims to analyze the influence of Job Rotation and Job Training on Employee Performance through Job Satisfaction. The unit of analysis for this study is PT BPR Arto Moro Semarang. This research is a causal-comparative type, with a sample size of 74 respondents collected through a questionnaire. The sampling method used is non-probability sampling with purposive sampling. The analysis tool employed in this study is Structural Equation Modeling (SEM) using the SmartPLS (Partial Least Square) version 4 application. The results of this study indicate a significant positive influence of Job Rotation on Job Satisfaction, Job Training on Job Satisfaction, and Job Rotation on Employee Performance. However, it does not show a significant impact of Job Satisfaction on Employee Performance and Job Training on Employee Performance at PT BPR Arto Moro.

This study examines the relationship between Green Human Resource Management (Green HRM), Pro-Environmental Behavior (PEB), and Employee Performance in the hospitality industry. Using data collected from 265 employees across 12 star-rated hotels in Semarang that have implemented green hotel practices, this research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The findings reveal that Green HRM positively influences both PEB (β = 0.627) and Employee Performance (β = 0.341). Furthermore, PEB positively affects Employee Performance (β = 0.396) and partially mediates the relationship between Green HRM and Employee Performance. Demographic factors, including age, education level, and tenure, moderate several relationship paths, suggest the importance of a differentiated approach in Green HRM implementation. Among Green HRM dimensions, Training and Development and Employee Involvement have the strongest effect on PEB, while Performance Management and Reward Systems most directly influence Employee Performance. These results provide empirical evidence that integrating environmental sustainability into HR practices benefits not only environmental outcomes but also enhances employee performance, creating a win-win situation for hotels in their pursuit of competitive advantage while meeting environmental responsibilities.

The Social Cognitive Theory proposed by Albert Bandura emphasizes that learning occurs largely through the process of observation. Teachers play an important role as models who provide direct examples so that students can understand and imitate a particular action or skill. This study aims to describe the implementation of Albert Bandura's social cognitive theory through modeling strategies in Islamic Jurisprudence learning on the material "Ablution Procedures" in class IA MI Al Ikhlas. This study uses a descriptive qualitative approach with the research subjects being Islamic Jurisprudence subject teachers for class I and 25 class IA students. The research objects include the application of Bandura's modeling theory in Islamic Jurisprudence learning and students' abilities in practicing ablution procedures. Data collection techniques are carried out through observation, interviews, and documentation. The results of the study indicate that the application of modeling strategies in Islamic Jurisprudence learning consists of three stages, namely: (1) the planning stage, where the teacher prepares a learning plan; (2) the implementation stage, which includes four core processes, namely attention (students pay attention to examples from the teacher), retention (students record information in memory), reproduction (students practice ablution procedures), and motivation (the teacher provides reinforcement in the form of praise or rewards); and (3) the evaluation stage, which is carried out through written, oral and practical tests. The application of this theory has proven effective in improving students' ability to practice ablution correctly.

This study investigates the role of Islamic social finance in supporting green economy development across Muslim-majority countries. Islamic social finance instruments, including zakat, waqf, and sadaqah, are designed to redistribute wealth ethically and address social inequalities, while also offering potential for financing environmentally sustainable projects. Using a quantitative research design and econometric modeling with panel data, the study analyzes the impact of these instruments on environmental performance indicators such as the Green Economy Index (GEI) and Environmental Performance Index (EPI). Secondary data are collected from international sources including the OIC Statistical Database, the World Bank, and the Islamic Development Bank, covering selected countries such as Indonesia, Malaysia, Saudi Arabia, Turkey, Pakistan, and Egypt. The analysis includes independent variables representing zakat distribution, waqf assets, and sadaqah volume, with control variables including GDP per capita, governance indicators, and population growth. Descriptive statistics reveal substantial variation in Islamic social finance and environmental performance across countries, indicating the importance of institutional governance and policy integration. Econometric results demonstrate a positive correlation between zakat and waqf development and environmental performance, while sadaqah contributes positively but to a lesser extent. These findings suggest that Islamic social finance can directly support environmental projects, including renewable energy initiatives, sustainable agriculture, and green infrastructure, complementing conventional fiscal tools. The study highlights the advantages of Islamic social finance in promoting justice, sustainability, and ethical allocation of resources, and it emphasizes the need to integrate green objectives into zakat and waqf operational frameworks. Policy recommendations include mainstreaming Islamic social finance into national green policies, enhancing governance and transparency, and encouraging cross-sector collaboration between financial institutions and environmental agencies. Future research is suggested to explore micro-level impacts on household and community environmental behaviors and to conduct comparative studies across regions. Overall, the study underscores the potential of Islamic social finance as a faith-driven, socially inclusive, and environmentally sustainable mechanism for supporting long-term green economic development.

Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.

The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decomposition, particularly in its parallel and GPU-based implementations, has shown superior performance in batch processing and industrial-scale simulations. Meanwhile, iterative methods such as Jacobi and Gauss–Seidel remain relevant due to their flexibility in numerical modeling, with further developments for block matrix systems, finite element applications, and FPGA architectures. The integration of these enhanced algorithms is not only beneficial for the advancement of scientific software development but also supports practical applications in engineering simulations, large-scale data optimization, and machine learning. Therefore, an integrative review of modern numerical algorithm developments is crucial in bridging the gap between industrial demands and research progress in scientific computing.

This meta-analysis examined the relationship between social support and medication adherence among multiple sclerosis (MS) patients through a synthesis of 47 studies (N=12,356). The findings confirmed a significant positive correlation (r=0.42, p<0.001, 95% CI [0.38, 0.46]) with substantial heterogeneity (I²=84.0%). Contrary to Cohen et al.'s (2019) finding that informational support was the strongest predictor, our moderator analyses revealed emotional support as the most robust predictor (β=0.39, p<0.001). Furthermore, this research demonstrated that the effects of social support on MS medication adherence were stronger among women (β=0.18, p=0.023) and patients with longer disease duration (β=0.24, p=0.009), extending Franqueiro et al.'s (2023) findings regarding gender differences in social support effectiveness. Family support showed the largest effect (r=0.48, p<0.001), followed by friends (r=0.40, p<0.001) and healthcare providers (r=0.35, p<0.001). Moreover, mediation modeling revealed a significant role of self-efficacy (indirect effect=0.21, 95% CI [0.17, 0.25]), expanding upon Bandura's (2018) model. Supporting Lavorgna et al.'s (2018) findings, our results confirmed that online social support proved equally effective as offline support (Q=1.87, p=0.171). These findings demonstrated robustness through sensitivity analyses and trim-and-fill procedures, confirming resilience against publication bias (adjusted r=0.39, 95% CI [0.35, 0.43]). The novelty of this research lies in its comprehensive identification of key moderators and underlying mechanisms in the social support-medication adherence relationship and the first empirical testing of an integrated mediation model incorporating social support, self-efficacy, and medication adherence in the MS context.

The purpose of this study is to determine the impact of major discount offers, online customer reviews, and online customer ratings on purchasing decisions during the Shopee twin date event. For important sales initiatives, structural equation modeling was the data analysis method used. The results show that online customer reviews have a positive but not statistically significant impact on purchasing decisions during the Shopee twin date event, even while online customer ratings have a large impact.

The development of information technology (IT) has had a significant impact on increasing the efficiency and quality of health services. Specialized Eye Hospitals, as facilities with specialized services, require IT infrastructure that can support medical and administrative operations optimally. The TOGAF framework (The Open Group Architecture Framework) offers a systematic approach to designing, managing and implementing effective IT architecture. This study aims to examine the application of TOGAF in IT infrastructure planning at a Special Eye Hospital. The research methods used include IT needs analysis, IT architecture modeling based on TOGAF, and evaluation of the architecture implementation. The research results show that the application of TOGAF is able to increase operational efficiency, speed up access to patient information, and improve overall service quality. This research contributes to providing practical guidance for other hospitals wishing to optimize their IT systems using the TOGAF approach.

The competence of a good chemistry teacher will contribute to a fair assessment ability. This service aims to improve the professional competence of the sub-field of assessment for chemistry teachers at madrasahs in the Mranggen sub-district. This service is participatory by processing the results in a quantitative descriptive manner with one variable, namely the professional competence of the teacher's assessment. Service Locations in Madrasahs, Mranggen District. The number of participants in this service is 20 active chemistry teachers. Data collection techniques using closed and open questionnaires. Data validity uses content validity. Data reliability using Croncbach's Alpha technique. Data analysis techniques use the percentage formula to determine the achievement of each component through statistical data. The results of Community Service found that the professional competence of chemistry teachers at madrasas in the Mranggen sub-district was on average in the very good category, but variations in the use of assessment software were very lacking and had never been carried out. The service contribution gives a good value for changes in the ability to use the Rasch model assessment software after the service is over, but this depends on the amount of motivation the participants have.

This study examines the implementation of the fourth-order Runge-Kutta method in simulating bullet trajectories in the Earth's gravitational field. Bullet trajectory simulation is important in various fields such as ballistics and engineering, where the accuracy of predicting the trajectory of a moving object is crucial. The introduction explains the importance of using numerical methods in solving complex equations of motion, considering that analytical solutions are often inadequate. The purpose of this study is to apply the Runge-Kutta method to solve nonlinear differential equations describing the motion of a bullet under the influence of gravity. The research methods include modeling the motion system using Newton's laws and applying the Runge-Kutta method to predict the trajectory based on initial conditions such as velocity and firing angle. The simulation results show that the Runge-Kutta method provides accurate predictions of bullet trajectories, with low relative errors compared to other numerical methods. In conclusion, this method is effective and efficient in simulating bullet trajectories, providing reliable results in practical applications.

Employee turnover can disrupt organizational stability and increase recruitment costs. This study focuses on the phenomenon of employee turnover, which poses a challenge for PT Bank Syariah Indonesia, Madiun Branch. The high turnover rate between 2021 and 2023 indicates an imbalance in compensation and job satisfaction. This research aims to analyze the effect of job satisfaction and compensation on the intention to switch jobs, with organizational commitment serving as a mediator. The research method employed is quantitative, utilizing a questionnaire distributed to 200 permanent employees of PT Bank Syariah Indonesia, Madiun Branch. The data were analyzed using Structural Equation Modeling (SEM) through Smart PLS software. The results indicate that job satisfaction and compensation significantly and positively affect organizational commitment, which in turn negatively impacts the intention to switch jobs. These findings underscore the importance of enhancing job satisfaction and compensation to reduce turnover rates in the workplace.