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The assessment of a company's value is crucial for investors to identify its prospects and performance. Financial ratios such as the Current Ratio (CR) and Return on Assets (ROA) are used to analyze factors affecting the company's value. This study aims to analyze the impact of CR and ROA on company value in manufacturing companies within the Miscellaneous Industries sub-sector for the period 2015–2024. The study uses a quantitative approach with data from annual financial reports of companies listed on the Indonesia Stock Exchange. Data analysis is conducted using panel data regression with the Random Effect Model (REM) as the best model. The dependent variable is company value, measured by Price to Book Value (PBV), while the independent variables consist of CR and ROA. The results show that CR does not have a significant effect on company value, while ROA significantly affects company value. Simultaneously, CR and ROA are proven to significantly affect company value, indicating that the combination of liquidity and profitability plays an important role in explaining PBV variations. This finding suggests that investors pay more attention to profitability than liquidity in the Miscellaneous Industries sector.

This study aims to analyze the influence of job satisfaction on employee performance at Warung Makan Ayam Penyet Pelem Asri, Boyolali. The study used a qualitative method with a case study approach. Data collection was conducted through in-depth interviews with employees and the business owner, direct observation of work activities, and relevant documentation. The results showed that the level of employee job satisfaction is relatively high, formed from a combination of structural, social, physical, and psychological factors. These factors include clear division of tasks, a regular work shift system, harmonious interpersonal relationships between employees, and the availability of adequate work facilities and compensation. High job satisfaction has been shown to encourage intrinsic motivation, discipline, and consistency in carrying out employees' duties. This is reflected in the ability of employees to provide fast, friendly, and consistent service, especially during busy operating hours. The research findings confirm that job satisfaction has a significant influence on employee performance, which in turn impacts customer satisfaction and business sustainability. Therefore, management needs to maintain and improve factors supporting job satisfaction to maintain service quality and business competitiveness.

This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using the Python programming language through the Google Colab platform. The analysis stages included the formation of performance variables, the separation of training and test data with a ratio of 80:20, model training, and evaluation using the Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R²) metrics. The results show that the Multiple Linear Regression model produced an MSE value of 2.74 × 10⁻²⁸, an MAE of 1.51 × 10⁻¹⁴, and an R² of 1.000. Meanwhile, Random Forest Regression produced an MSE of 0.296, an MAE of 0.375, and an R² of 0.998. These findings indicate that both models have a very high level of accuracy, but Multiple Linear Regression provides the best performance. This is due to the strong linear relationship between the input variables and the target variables formed directly from the combination of academic values. Thus, the linear regression model is proven to be more suitable for use in data structures that have simple linear relationships compared to ensemble-based models.

A student's learning success is largely determined by their academic evaluation. Estimating a student's final grade can assist educational institutions in conducting initial assessments of academic achievement. This study aims to analyze the performance of the Multiple Linear Regression (MLR) and Random Forest (RF) algorithms in predicting students' final grades using Google Colab. This research method uses a quantitative approach using secondary data that includes age, mid-term exam scores, final exam scores, and categorical variables as independent variables, with the final grade as the dependent variable. The research process is carried out through data preprocessing steps, dividing training and test data, model training, and performance evaluation using Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R2). The results show that the Random Forest algorithm provides more accurate prediction accuracy compared to the Multiple Linear Regression algorithm, especially in identifying nonlinear relationships between variables. Therefore, the Random Forest algorithm is more recommended for predicting students' final grades with complex data characteristics.

The ability to read the Qur’an is a fundamental competence in Islamic education. However, many children still face difficulties in reading the Qur’an accurately and fluently in accordance with tajwid rules. This community service program (Pengabdian kepada Masyarakat/PKM) aimed to improve Qur’anic reading skills of students at Asy-Syakirin Qur’anic Learning Center (TPQ) in Nibung Village, Kapuas Hulu Regency, West Kalimantan. The program employed a Participatory Action Research (PAR) approach, actively involving teachers and students in all stages of the activities. The implementation consisted of planning, action, observation, and reflection stages. During the planning phase, students’ initial reading abilities were identified and grouped into basic (iqra’) and advanced (tahsin) levels, appropriate learning methods were selected, and supporting learning media were prepared. The action phase involved individual and small-group mentoring, guided Qur’an reading with direct correction of pronunciation (makharij al-huruf) and tajwid, application of memorization and dictation (imla’) techniques, and varied teaching approaches through instructor rotation. Evaluation was conducted through pre-tests and post-tests, direct observation of students’ reading performance, and assessment of participation and attendance. The results indicate a significant improvement in students’ Qur’anic reading skills, particularly in fluency, accuracy of pronunciation, and basic understanding of tajwid. This program is expected to serve as a sustainable model for improving Qur’anic literacy in Qur’anic learning institutions.

This study aims to strengthen students’ networking competencies through the implementation of straight and cross LAN cable assembly training at SMKN 53 Jakarta. The background of this research is based on the need to enhance students’ practical skills in basic computer networking, particularly in understanding cable configurations and applying crimping techniques according to industry standards. Many students experience difficulties in differentiating wiring standards and applying correct crimping procedures, which impacts their readiness for industry practice. This research employed a practical training approach combined with demonstration and hands-on methods. The participants were students of the Computer and Network Engineering program. Data were collected through observation, performance assessment, and competency tests before and after the implementation. The findings indicate a significant improvement in students’ understanding of cable color standards (T568A and T568B), accuracy in assembling straight and cross cables, and testing results using LAN testers. Students demonstrated higher levels of technical accuracy, problem-solving skills, and work discipline after the intervention. The implementation of structured practical activities proved effective as a medium for strengthening networking competencies. The study implies that continuous practice-based learning aligned with industry standards is essential in vocational education to improve students’ technical readiness and employability in the networking field.

This study aims to analyze the influence of interest rates, exchange rates, and coffee production on the value of coffee exports in South Sulawesi. The background of this study is based on the condition of South Sulawesi coffee exports which have experienced significant fluctuations in recent years despite coffee production tending to increase. This study uses a quantitative approach with time series data for the period 2009-2023 sourced from the World Bank, International Monetary Fund and the Directorate General of Plantations, the Food Crops, Horticulture and Plantation Service of South Sulawesi Province. Data analysis was conducted using multiple linear regression through the EViews 12 application with the classical assumption test as a model prerequisite. The results show that partially interest rates have a significant effect on coffee exports, while exchange rates and coffee production do not have a significant effect. Simultaneously, the three independent variables do not have a significant effect on the value of coffee exports. This finding indicates that external factors, especially interest rates, are more dominant in determining the performance of South Sulawesi coffee exports than internal factors of production and exchange rates.

This study aims to analyze the implementation of human resource management (HRM) audits in motivating employee performance at CV Cipta Alignment Constructions (CV.CLC). HRM audits serve as an evaluative and strategic tool in assessing the effectiveness of personnel functions such as recruitment, training, career development, and reward systems. The study used a qualitative approach with a case study method through interviews, observation, and documentation. The results show that HRM audits have a positive effect on employee motivation and performance by increasing work morale, placing employees according to competencies, and reducing turnover. Based on Resource-Based Theory (Barney, 1991), HRM audits are valuable and difficult-to-imitate strategic resources, thus supporting a company's competitive advantage. These findings emphasize the importance of implementing HRM audits continuously as part of a management strategy to improve organizational effectiveness. The implications of this study provide recommendations for companies to integrate HRM audits into strategic planning to achieve optimal and sustainable performance. In addition, this study also opens opportunities for further studies to strengthen the implementation of HRM audits in different sectors and company scales.

State revenue holds a vital position in sustaining national development and the functioning of government, with taxation serving as the primary contributor to Indonesia’s State Budget (APBN). The substantial reliance on tax income obliges the government to manage the taxation system in an optimal, efficient, and sustainable manner. Nevertheless, the attainment of tax revenue targets in practice remains challenged by various issues, including structural, administrative, and strategic limitations. This study seeks to examine the role of strategic tax management in supporting the achievement of state revenue objectives. The research adopts a literature review approach by analyzing textbooks, national and international scholarly journals, official government publications, and relevant regulatory frameworks. The data are analyzed using a descriptive qualitative method through processes of classification, comparison, and synthesis of findings from previous studies. The findings reveal that strategic tax management has a crucial influence on enhancing state revenue performance through coherent policy formulation, flexible strategy execution, and ongoing performance assessment. The integration of information technology, the reinforcement of tax administration, and the improvement of taxpayer compliance emerge as key determinants in achieving revenue targets. Accordingly, strategic tax management constitutes a fundamental tool for ensuring fiscal resilience and promoting sustainable national development.

This study aims to: (1) describe the Arabic learning outcomes of boarding students at MAS DDI Pattojo; (2) describe the Arabic learning outcomes of non-boarding students; and (3) compare the learning outcomes of both groups. The research used a quantitative method with sociological and pedagogical approaches. The population consisted of 77 students from grades X and XI, with a saturated sampling technique involving 45 boarding students and 32 non-boarding students. Data were collected through observation, tests, and documentation, while data analysis applied descriptive and inferential statistical techniques. The findings show that both groups demonstrated relatively low performance in Arabic reading skills (mahārah qirā’ah). Boarding students achieved an average score of 30.89, while non-boarding students obtained an average score of 29.69. Furthermore, the Mann-Whitney U test revealed no significant difference between the two groups, as indicated by an Asymp. Sig. value of 0.615, which is greater than 0.05. These results indicate that the place of residence, whether boarding or non-boarding, is not a major factor influencing Arabic learning outcomes at MAS DDI Pattojo, suggesting that other educational or instructional factors may play a more significant role.

This study aims to analyze the effects of work motivation and career development on nurses’ performance through job satisfaction among nurses at Pertamina Balikpapan Hospital. Nurses’ performance is a key determinant of service quality and patient safety because nurses interact most intensively with patients and ensure continuity of nursing care. However, prior studies on the relationships among motivation, career development, job satisfaction, and performance have reported mixed findings. Therefore, further examination is needed by incorporating job satisfaction as a mediating variable to explain the mechanism of influence more comprehensively. This research employed an explanatory design with a quantitative approach. Primary data were collected using a Likert-scale questionnaire distributed to 165 permanent nurses selected through purposive sampling from a population of 292 nurses. Data were analyzed using variance-based SEM with SmartPLS 4, including outer model evaluation (convergent and discriminant validity) and construct reliability, as well as inner model assessment through the coefficient of determination, effect size, and hypothesis testing using bootstrapping. The results indicate that work motivation has a positive and significant effect on job satisfaction, and career development also has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on nurses’ performance. In addition, work motivation and career development have positive and significant direct effects on nurses’ performance. Indirect effect testing confirms that job satisfaction mediates the relationship between work motivation and nurses’ performance and also mediates the relationship between career development and nurses’ performance. These findings emphasize that hospitals should strengthen strategies to enhance motivation and career development in a targeted manner while ensuring key sources of job satisfaction so that nurses’ performance improves sustainably.

This study aims to analyze the influence of port infrastructure, logistics connectivity, and fleet capacity on the performance of sea tolls in Indonesia. The approach used in this literature review study is descriptive qualitative. The data collection technique used is a literature study or review of relevant previous articles published between 2021 and 2026. The technique used in this literature review is comparative analysis. The data used in this descriptive qualitative approach came from previous studies relevant to this study and sourced from academic online media such as Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Q2-Q4 Emerald, Elsevier, Sage, Web of Science, Sinta 2-5 Journal, DOAJ, EBSCO, Google Scholar, Copernicus, and digital reference books. The results of the study show that: 1) Port infrastructure affects sea toll performance; 2) Logistics connectivity affects sea toll performance; 3) Fleet capacity affects sea toll performance.

This research evaluates the effectiveness of human capital development policies in Indonesia within the education and health sectors during the periods of 2015–2019 and 2020–2024. The analysis focuses on strategic programs implemented by the Ministry of Education and Culture and the Ministry of Health by comparing planned targets with the realization of performance indicators as stated in the Strategic Plan (Renstra) documents. The study employs a qualitative evaluative approach supported by descriptive quantitative data derived from official planning and performance reports. The findings indicate that during the 2015–2019 period, programs emphasizing the expansion of basic education and health services were relatively effective in increasing participation rates and improving equitable access. In contrast, programs aimed at enhancing the quality of human resources, particularly teacher development and institutional capacity building, showed lower levels of effectiveness due to weak performance measurement systems and inconsistent data reporting. During the 2020–2024 period, the effectiveness of most education and health programs declined significantly as a result of external shocks caused by the COVID-19 pandemic. However, health programs with strong financial protection mechanisms, such as the National Health Insurance (JKN), demonstrated greater resilience compared to other programs. The study concludes that the effectiveness of human capital development policies is strongly influenced by the clarity of performance indicators, consistency in program implementation, institutional capacity, and the ability of policies to adapt to external disruptions.

Company value is an important indicator that reflects company performance and investor perceptions of future business prospects and sustainability. Various strategic decisions made by management, such as capital intensity management, investment decisions, and tax aggressiveness policies, play a significant role in shaping company value. This study aims to examine and analyze the effect of capital intensity, investment decisions, and tax aggressiveness on company value through a literature review approach. The method used is a literature review by examining various relevant national and international scientific articles obtained from academic databases such as Google Scholar, Publish or Perish, and SINTA. The results of the study show that capital intensity has a positive effect on company value because it reflects long-term production capacity and operational efficiency. Investment decisions have also been proven to have a positive effect on company value because they signal management's optimism about future growth prospects. Meanwhile, tax aggressiveness can increase company value through tax savings and increased cash flow, but it has the potential to cause reputational and governance risks if done excessively. Overall, the reviewed literature shows that these three variables have an impact on company value, with the caveat that optimal and transparent management is necessary. This study is expected to serve as a reference for further research and as a consideration for company management and investors in making strategic decisions.

This study aims to measure the financial performance of the Government of West Java Province during the 2020–2024 period based on the analysis of the audited Budget Realization Reports. The research uses a descriptive quantitative approach with secondary data obtained from the Regional Financial Statements. Financial performance is measured through several ratios, namely the effectiveness ratio of Regional Original Revenue, regional financial efficiency ratio, regional financial independence ratio, and expenditure harmony ratio. The results show that the effectiveness of Regional Original Revenue fluctuated, with effective performance only in 2022 and 2024, while in other years it was categorized as ineffective. The efficiency ratio also indicated inconsistency, where inefficiency occurred in 2020, 2021, and 2023, and efficiency was achieved in 2022 and 2024. The regional financial independence ratio showed a relatively high level, reflecting low dependence on central government transfers, although there was a slight decline in 2023–2024. The expenditure harmony ratio indicated that budget allocation was still dominated by operational expenditure compared to capital expenditure. The findings imply the need for improving revenue optimization and more balanced expenditure allocation to support sustainable regional development.

Regional government financial performance is a strategic indicator for assessing the success of regional autonomy implementation, particularly in managing public finances in an effective, efficient, transparent, and accountable manner. This study aims to analyze the financial performance of the Government of West Nusa Tenggara Province (NTB) during the 2018–2022 period using a regional financial ratio analysis approach. The research employs a descriptive quantitative method utilizing secondary data obtained from the Budget Realization Reports (LRA) and the Regional Government Financial Statements (LKPD) that have been audited by the Audit Board of the Republic of Indonesia (BPK). The analysis is conducted by calculating regional financial ratios, including the financial independence ratio, the effectiveness ratio of Regional Original Revenue (PAD), the efficiency ratio of regional finances, the activity ratio (expenditure harmony), and the revenue growth ratio. The results indicate that the financial performance of the Government of West Nusa Tenggara Province has generally improved. The regional financial independence ratio falls within the participatory category with an average value of 57.81%, reflecting a gradual reduction in dependence on central government transfer revenues, particularly in 2022. The effectiveness ratio of PAD is categorized as moderately effective, with an average of 92.84%, although it fluctuates due to increases in revenue targets that were not fully matched by actual revenue realization. The regional financial efficiency ratio consistently remains in the efficient category, indicating the local government’s ability to control expenditures relative to revenues. Furthermore, the activity ratio analysis shows a shift in expenditure composition from operating expenditure toward capital expenditure, indicating an increased orientation toward development and long-term investment. The growth ratio reveals a significant increase in PAD in 2022, accompanied by a decline in transfer revenue growth.

This study aims to analyze the financial performance of the East Java Provincial Government based on the Budget Realization Report (LRA) for the 2022–2024 period. This study is important to assess the effectiveness of revenue achievement and the efficiency of regional expenditure management. The research method used is quantitative descriptive with secondary data in the form of Budget Realization Reports obtained through documentation techniques. Data analysis was performed using financial ratio analysis, namely effectiveness and efficiency ratios. The results show that the revenue performance of the East Java Provincial Government is in the highly effective category, as reflected in the realization of revenue that was able to reach and even exceed the budget target. However, regional expenditure performance is still considered inefficient because the realization of expenditure is close to the set budget. The conclusion of this study shows that even though revenue optimization has been achieved, the local government still needs to improve expenditure control so that regional financial management becomes more efficient in the future.

Financial distress is a condition of declining financial health of a company that can develop gradually and lead to business failure if not detected early. With the increasing complexity of the business environment and the limitations of conventional statistical methods, Artificial Intelligence/AI is increasingly being adopted in the development of early warning systems (EWS) to predict financial distress. This study aims to examine the development of AI-based EWS research, identify the most widely used algorithms, and evaluate the effectiveness of AI models compared to conventional methods in predicting financial distress. The method used is a comprehensive systematic literature review of 15 relevant scientific articles. The results show that the paradigm has shifted from statistical models to machine learning and deep learning. Random Forest and Artificial Neural Network are the most widely used algorithms and have better predictive performance. This study offers a conceptual synthesis of the progress, effectiveness, and challenges of applying AI in predicting financial distress and opens opportunities for further research on the development of contextual and interpretative EWS.

This study aims to review the perspectives of MSME owners in the Gonilan area, particularly regarding part-time workers and their use in improving operational cost efficiency. The Gonilan area is known to have many MSMEs operating in various sectors, making this study relevant for understanding the challenges they face. A qualitative method was chosen so that the researcher could conduct in-depth interviews with three MSME owners. The informants were selected because they employed both full-time and part-time workers. The interview results showed that part-time workers were effective in reducing operational costs, such as more flexible hourly wages, although there were some disadvantages. The main disadvantages of part-time workers included lack of experience and limited working hours, which could be overcome through extra training and clear task distribution so that they could focus and increase productivity. The study concluded that the use of part-time workers has a significant impact on the operational cost efficiency of MSMEs, helping owners navigate the market without excessive financial burdens and encouraging long-term business growth.

This community service activity was conducted at Plamongansari Urban Village, Semarang City, focusing on administrative and general public services. The identified issues included administrative service mechanisms, employee performance, utilization of service technology, and bureaucratic mechanisms in public administration. The objective of this community service was to describe and analyze the administrative and general service processes through direct assistance activities carried out by students. The method used was a participatory approach involving observation, direct assistance, and active involvement in administrative services at the urban village office. The results showed that administrative service mechanisms were implemented with clear procedures, the performance of public service personnel was relatively good, the utilization of service technology supported administrative efficiency, and bureaucratic mechanisms contributed to service orderliness. This community service activity also enhanced the awareness of public service personnel regarding professionalism, discipline, and community-oriented services. Therefore, this community service contributes to improving the quality of public services at Plamongansari Urban Village.