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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 examines the influence of human resource development on the competency and performance of employees at the Customs and Excise Supervision and Service Office Type Madya Customs B Medan. Through interviews with five employees of the Medan Customs and Excise Supervision and Service Office of Type A Customs, this research identified the steps taken by the leadership to improve employee competency and performance, as well as overcome the obstacles faced. The main focus of research is development programs which include training, skills and mental development, assessment, and providing motivation through capacity building activities. The theory used refers to the concept of employee performance according to Sedarmayanti, with a qualitative approach that includes observation, interviews and collecting supporting documents. The research results show that the human resource development carried out plays an important role in improving the competency and performance of employees in the office.

This research purposed to analyze the financial performance of PT. Indo-Rama Synthetics Tbk. The research was conducted using a quantitative approach with financial reports as a data source to examine financial performance based on profitability ratios, liquidity ratios, activity ratios and solvency ratios. The research examines financial performance starting from 2020 to 2022 with financial reports obtained from the official website of the Indonesia Stock Exchange (BEI). Based on the results of the analysis, it was found that in the profitability assessment only the return on assets ratio had reached the efficient criteria, while the net profit margin and return on equity ratios were considered inefficient. In assessing liquidity, the current ratio and quick ratio are not yet liquid. Activity assessment through inventory ratios, fixed asset turnover and total asset turnover is considered to have not met the efficient level each year. Meanwhile, in the solvency assessment, it was found that the overall ratios used, namely the debt to asset ratio and the debt to equity ratio, met good criteria.

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 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.

This study aims to improve English vocabulary mastery among 8A grade students at MTs Terpadu Berkah through the implementation of the Pictionary game method. The research uses a descriptive qualitative approach, focusing on observation and assessment of students’ performance during learning activities. Pictionary, as an interactive learning method, utilizes visual images to help students understand and retain new vocabulary more effectively.  The research results show that using Pictionary in English vocabulary learning is effective in enhancing students' understanding and memory of new words. Students actively participated in learning activities, demonstrated high enthusiasm, and showed significant progress in using the vocabulary they learned. Additionally, this approach encourages student collaboration and fosters creativity during the learning process. In conclusion, the Pictionary game can be an effective alternative teaching method for improving vocabulary mastery and learning motivation among students. Implementing this method is expected to provide English teachers with a useful strategy for creating a more engaging and interactive learning environment in the classroom.

PT XYZ is a private company in Palembang that supplies medical devices and equipment. This company conducts performance assessments every year to provide appropriate rewards in the form of gifts, bonuses or incentives to employees. In carrying out the performance assessment process for providing employee rewards, it is still done manually. This process is inefficient because it takes a lot of time, is prone to errors in calculation and it is not clear which aspects of the criteria are important. By using the Weighted Product methodology, this study tries to create a decision support system (DSS) that will simplify this evaluation procedure. This application is made website-based, using the laravel framework with the Iterative system development method. The results obtained indicate that the system can help companies improve efficiency by conducting automatic assessments, providing measurable weights, transparently and using the Weighted Product method for more accurate assessments. Overall, the system developed meets the research objectives.

This research aims to analyze the effectiveness of the employee performance appraisal system  at PT. Flypower, a company engaged in the production of badminton equipment since 2002 employee performance appraisal is an important component in human resource management, which involves evaluating employee contributions to achieving company goals through assessing achievements identifying strengths and weaknesses and providing feedback. This research uses a descriptive qualitative approach method. This method is used to describe phenomena related to human resource management and to understand the meaning contained in employee experiences related  to the assessment system implemented data was collected through in-depth interviews participatory observation, and analysis of relevant documents, as many as 20 employees were involved as respondents to get a comprehensive perspective on the existing assessment system. The research results show that the performance appraisal system at PT. Flypower has experienced a development from a simple assessment method to a more structured system based on document analysis, in line with the implementation of the ISO 9001 standard. Transparency and regular feedback contribute positively to employee motivation. However, there are several weaknesses, such as a lack of clarity in the assessment criteria which can hinder employee understanding. This research recommends improvements in the communication of assessment criteria and the provision of understanding resources to support achievement of performance targets.

This research investigates the development and testing of an interactive e-module based on inquiry learning, designed to improve students’ understanding of derivatives in calculus. The study adopts a Research and Development (R&D) approach, which involves several stages: design, prototype creation, testing, and revision. The e-module incorporates interactive exercises, real-time feedback, and multimedia elements to engage students in active learning. A pre- and post-test assessment was conducted to measure the effectiveness of the e-module, revealing a 20% improvement in students’ conceptual understanding of derivatives. Feedback from students indicated that the e-module’s interactive features, including visual representations, problem-solving activities, and immediate corrections, significantly enhanced their learning experience. The results were compared with traditional printed materials, showing that the interactive e-module was more effective in improving students' problem-solving skills and overall understanding of abstract concepts in calculus. The findings suggest that technology-enhanced tools, such as interactive e-modules, offer a promising approach to calculus education, fostering deeper engagement and providing immediate feedback, which traditional methods fail to offer. These tools are particularly beneficial in bridging the gap between theoretical understanding and practical application in higher education. The study also recommends expanding the use of inquiry-based learning and interactive modules to other areas of mathematics and STEM education. Future research should focus on refining the e-module to include more personalized learning pathways and explore its long-term effects on students' performance across various subjects.

This study examines the effectiveness of enhancing teacher training and development programs for maritime instructors by focusing on improving both pedagogical skills and industry knowledge. The research explores applied management strategies in the fields of port, shipping, and logistics, aligning them with industry-specific educational needs. Qualitative perspectives from 5 maritime professionals, 5 lecturers, and 5 graduates working in maritime sectors were analyzed through descriptive analysis. The study aims to understand how maritime instructors can effectively integrate technical, promotional, marketing, and innovative skills into their teaching practices to better prepare students for the maritime industry. The data collection was conducted through structured interviews, observations, and focus group discussions. Findings indicate that improving teacher training not only enhances instructor competencies but also bridges the gap between maritime education and industry requirements. Key indicators include the effectiveness and efficiency of the training programs, with a performance score of 9/10 based on qualitative assessment. The paper discusses the implications for maritime vocational education, emphasizing the need for continuous improvement in instructor development. The study concludes with recommendations for further enhancing maritime teacher training programs by incorporating modern management practices and technological advancements to ensure that maritime education stays relevant to industry demands.

This research is motivated by a decrease in the Liquidity Ratio in cash and cash equivalents due to an increase in investment acquisition and purchase of fixed assets which will cause depreciation expenses in the coming years to be greater which will directly reduce the company's profit. The Solvency Ratio has increased due to an increase in debt which will directly increase interest expenses, so it must be covered from operating profit. The Profitability Ratio has decreased in current year profit because the increasing amount of expenses will reduce net profit. The Activity Ratio has decreased inventory turnover due to decreased sales which has resulted in an increase in the amount of inventory. The purpose of this study is to determine the effect of Liquidity, Solvency, Profitability and Activity on Financial Performance at PT. Adi Sarana Armada Tbk. which is listed on the Indonesia Stock Exchange (IDX). The method used in this study is a quantitative descriptive method, the data in this study uses secondary data. Based on the results of the study, it shows that Liquidity ratio using Current Ratio has a partial positive effect on Financial Performance with Good criteria, this shows the company's ability to pay short-term obligations. Solvency ratio using Debt To Equity Ratio does not have a partial effect on Financial Performance with Poor criteria, this shows the company's inability to meet long-term obligations because risk assessment is ineffective, resulting in a greater risk of loss. Profitability ratio using Return On Asset does not have a partial effect on Financial Performance with Poor criteria, this shows that it is inefficient in using its assets to generate profits and ineffectiveness in accounts receivable turnover so that the small capital invested. Activity ratio using Total Asset Turn Over has a partial positive effect on Financial Performance with Very Good criteria, this shows the company's ability to utilize its assets to generate income.

It has been demonstrated that using computers greatly improves our ability to perform our duties. Information services are vital because, while employee performance may still be predicted manually, the process takes a long time. Data mining technologies, on the other hand, make it easier to anticipate employee success for loyal employees. Employee performance evaluation criteria are necessary in order to increase the accuracy of the assessment results, as Toko Merpati Simpang's employee performance assessments cannot be conducted carelessly. Employee performance has to be analyzed and categorized because up until now, manual employee performance evaluations have only used subjective criteria. The C4.5 Algorithm data mining approach is used in this evaluation of employee performance. The degree of accuracy will be ascertained by comparing these two approaches. Positive and negative emotions are the two categories of sentiment. The aim of this study is to ascertain the degree of accuracy of the comparison between the two tested techniques and to offer information on the quality of one of Toko Merpati Simpang's employee performance assessments using visitor sentiment. The test results will be evaluated using the Rapidminer tool to demonstrate the degree of accuracy for both testing approaches.   Keywords: , 

This study aimed to determine the effect of the control environment, risk assessment process, control activities, information and communication, and monitoring on employee performance at PT. Citra Niaga Logistik Maumere branch. The research design used is descriptive quantitative associative. The population in this study were 30 employess of PT. Citra Niaga Logistik Maumere branch. Since the population is limited, this research was conducted by census or saturated sampling. Data were collected through questionnaires and analysed using descriptive and inferential statistical methods, that is multiple linear regression. Hypothesis testing was done through t test and f test. The t test results showed that partially, the control environment variables, risk assessment process, monitoring activities, information and communication, and monitoring have no significant effect on employee performance. In addition, the results of the F test showed that simultaneously, the variables of the control environment, risk assessment process, monitoring activities, information and communication, and monitoring have no significant effect on employee performance.

This research focuses on the application of predictive analytics in digital classrooms to track and predict student performance. The study aims to address the limitations of traditional teacher judgment, which often relies on limited data points and subjective assessments. The research proposes a machine learning-driven approach that utilizes data from Learning Management Systems (LMS), including student engagement, academic performance, and attendance, to predict student success or failure with greater accuracy. Various machine learning techniques, such as Support Vector Machine (SVM) and Random Forest (RF), are applied to develop a predictive model that can identify at-risk students early. The findings show that the model achieves an accuracy rate of over 85%, with key predictors including past academic performance and student engagement. This model outperforms traditional assessment methods by providing real-time, data-driven insights that enable timely interventions. The study concludes that predictive analytics has significant potential to enhance educational outcomes by offering personalized support and improving curriculum design. However, challenges such as data integration, fairness, and privacy concerns must be addressed for broader implementation.

The problem raised is how to build a web-based decision support system for village apparatus performance assessment using the profile matching method, Kashus study at the Wee Limbu village office, southwest Sumba district. help carry out assessments using the profile matching method which is carried out to determine the apparatus' recommendations in the assessment system based on behavioral aspects, this decision making process is assisted by a decision support system. One of the methods used is Profile Matching, which is a method that compares the criteria for which alternative candidate places are selected. The road is suitable to be built according to the criteria determined by the Verification Body so that a difference value is obtained which is usually called the gap value. The decision support system designed is a web-based decision support system for assessing apparatus performance using the profile matching method  

The integration of interactive digital media in biology learning has become an innovative approach to enhancing student motivation. This study aims to investigate the impact of interactive digital media on students' engagement and learning outcomes in biology. A quantitative research method was employed, utilizing a quasi-experimental design with pre-test and post-test assessments. The participants consisted of high school students divided into experimental and control groups. The experimental group used interactive digital media, while the control group followed traditional learning methods. The findings indicate that students who utilized interactive digital media demonstrated a significant increase in motivation and academic performance compared to those in the control group. The study highlights the effectiveness of digital media in fostering an engaging learning environment, suggesting its broader application in science education

This research aims to determine the effect of leadership style and work motivation on teacher performance at SMPN 2 Puspahiang. The method used in this research is cuntitative through a survey approach. In this study, the sample taken was the entire population of teachers at SMPN 2 PUSPAHIANG, the population of which was 42 teachers. The data used is primary data. The analytical tool used in this research is multiple regression using SPSS 26.0. The results of the research show that the Leadership Style obtained from the Teachers of SMPN 2 Puspahiang has good criteria. Work Motivation for SMPN 2 Puspahiang Teacher products has good assessment criteria, Teacher Performance for SMPN 2 Puspahiang Teachers has good assessment criteria. Together Leadership Style and work motivation have a significant influence on Teacher Performance. Partially Leadership Style has a significant influence on Teacher Performance. Partially, work motivation has a positive and significant effect on teacher performance.

The objective of this research is to enhance the academic performance of Grade III students at SDN Margomulyo 1 Ngawi in the subject of animal life cycle by implementing a cooperative learning approach using Montessori media. The study methodology used is classroom action research (CAR) consisting of two cycles. During the first phase, the assessment of student learning outcomes revealed a limited level of proficiency, as just 44% of students successfully attained the desired learning goals. Following the implementation of the cooperative learning paradigm using Montessori media in the second cycle, there was a notable improvement, with 88% of students attaining mastery and an average score rise of 82%. This research provides evidence that the collaborative learning approach, along with Montessori media, is successful in improving students' comprehension and academic achievements in the subject of animal life cycles.

This study aims to examine the latest developments in the application of machine learning, software, applications, and websites in language teaching. With the advancement of technology, language learning is increasingly facilitated by the use of digital tools that utilize artificial intelligence (AI) and machine learning to improve the learning experience in an adaptive and interactive manner. The study reviewed a variety of platforms that use this technology, including key features that support personalization, automated feedback, and student performance assessments. In addition, this study discusses the effectiveness of the technology in supporting independent and formal learning in the classroom, including implementation challenges in various educational settings. It was found that although this technology provides a great opportunity in accelerating language learning, there are some limitations, such as limited access in regions with low digital infrastructure, as well as lack of integration with relevant cultural and social contexts in language learning. This study concludes that machine learning-based technology in language teaching has great potential, but further research is needed to optimize its application in various educational contexts.    

This study aims to critically analyze how accounting policies implemented in insurance companies contribute to effective risk management and overall financial stability. As the business environment becomes increasingly complex and competitive, insurance firms must adopt robust accounting policies that not only facilitate accurate financial reporting but also enhance their ability to identify, assess, and manage various risks. By employing a mixed-methods approach that integrates both qualitative and quantitative data, this research will explore the intricate relationships between accounting policies, risk management strategies, and their subsequent impact on the financial performance of insurance companies. The study will first provide a theoretical framework that outlines the significance of sound accounting practices in the context of risk management. It will then delve into empirical analysis through case studies of selected insurance companies, assessing how their accounting policies influence risk assessment and mitigation processes. Data will be collected via surveys and interviews with key stakeholders, including financial managers, risk officers, and auditors, to gather insights on the effectiveness of these policies in practice. Furthermore, this research will evaluate the correlation between specific accounting practices and key performance indicators, such as profitability, solvency, and liquidity ratios. By identifying best practices and potential areas for improvement, the study aims to offer practical recommendations that can enhance the alignment between accounting policies and risk management efforts. Ultimately, this research seeks to contribute to the existing literature on accounting and risk management in the insurance sector, providing valuable insights that can inform policy formulation and strategic decision-making within the industry. Through this comprehensive evaluation, the study aspires to foster a deeper understanding of how effective accounting policies can serve as a foundation for robust risk management frameworks, thereby promoting long-term financial stability in insurance companies.