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Integrity is a fundamental value in realizing clean, transparent, and accountable public sector governance. Various integrity assessment instruments have been implemented in the public sector in Indonesia, such as the Integrity Assessment Survey (SPI) by the Corruption Eradication Commission (KPK), the Integrity Zone (ZI) by the Ministry of Administrative and Bureaucratic Reform (PANRB), and IntoSAINT developed by INTOSAI. However, all three still have limitations. This study aims to analyze the strengths and weaknesses of these three instruments and develop an alternative assessment tool, the Integrity Assessment Tool (IAT), which can be an alternative choice to the integrity assessment model in Indonesia. This study uses a qualitative descriptive approach through literature studies and analysis of integrity policy documents, with a theoretical foundation of the OECD Integrity Framework and the Anti-Bribery Management System (SNI ISO 37001). The results show that the Integrity Assessment Tool is able to assess organizational integrity comprehensively and objectively through four main dimensions: history, performance, potential, and perception. This approach integrates quantitative, qualitative, and psychometric aspects to produce a more accurate and sustainable picture of the integrity position of public sector organizations. Theoretically, this research enriches the study of public sector integrity management, while practically, it provides guidance for government agencies in building a measurable, systematic, and sustainable integrity evaluation system as a basis for establishing a national model for integrity assessment.

This study aims to evaluate the application of environmental management accounting in the management of work programs at the Bangkalan Regency Environmental Agency. The research is motivated by increasing environmental problems, particularly waste volume and limited management facilities, while environmental management accounting has the potential to assist agencies in identifying, measuring, and reporting environmental costs as a basis for decision-making and public accountability. This study used a qualitative method with a case study approach at the Bangkalan Regency Environmental Agency. Data were collected through interviews, observations, and documentation studies. The results show that the Environmental Agency has implemented environmental management accounting, but its recording is still manual and does not separate environmental costs from general operational costs. This condition complicates cost evaluation and program impact assessment. Work program management has been structured and evaluated regularly, but performance measurement still focuses on output, not long-term environmental impact. Information transparency is also still limited to activity publications. Overall, the application of environmental accounting is at a basic stage and has not been fully integrated into the work program planning and evaluation process. The findings of this study provide theoretical and practical implications in the form of strengthening understanding of the role of environmental management accounting and the need to improve the work program recording and evaluation system at the Bangkalan Regency Environmental Agency.

This study aimed to analyze the effect of credit risk on profitability with liquidity as a mediating variable in banking companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The study employed a quantitative approach with an explanatory research design. Secondary data were obtained from annual financial statements, and the sample consisted of 31 banking companies selected through purposive sampling from a total of 47 companies. The research variables included credit risk as the independent variable, profitability proxied by Return on Assets (ROA) as the dependent variable, and liquidity proxied by the Loan to Deposit Ratio (LDR) as the mediating variable. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through the assessment of the measurement model and the structural model. The results indicated that credit risk did not affect profitability and did not affect liquidity, while liquidity affected profitability. The findings also demonstrated that liquidity did not mediate the relationship between credit risk and profitability. The study implied that liquidity management played an important role in supporting bank profitability, whereas the influence of credit risk on profitability during the study period was likely driven by other factors outside the proposed model. This study provided empirical evidence on banking performance dynamics in 2022–2024; however, generalization should have been made cautiously due to the limited observation period and the variables included.

This community service program aims to enhance teachers’ competence in developing Higher Order Thinking Skills (HOTS)-based assessment items to support improved performance in the Computer-Based National Assessment (ANBK) at SMP Negeri Kletek. The main problem faced by the partner school is the limited understanding of teachers in designing assessment instruments that measure higher-order thinking skills, as well as insufficient ability to develop literacy- and numeracy-oriented questions aligned with ANBK characteristics. This condition has resulted in suboptimal learning evaluation quality and limited student readiness for national assessment. The program employed a Participatory Action Research (PAR) approach, emphasizing the active involvement of participants throughout all stages. The implementation included the planning stage through needs assessment and problem identification, the action stage through training and mentoring in HOTS-based item development, the observation stage through evaluation of participants’ work, and the reflection stage to identify achievements and challenges. Data were collected using pre-test and post-test, observation, and reflective discussions. The results indicate an improvement in teachers’ understanding and skills in developing HOTS-based items, as reflected in higher post-test scores. Teachers were able to design competency-based blueprints, contextual stimuli, and analytical, evaluative, and creative questions. This program effectively strengthens teachers’ professional competence and school readiness for ANBK.

Flexible work arrangements (FWAs) have gained increasing attention in contemporary organizations as a strategy to enhance employee-related outcomes in dynamic work environments. This study aims to synthesize empirical evidence on the relationship between flexible work arrangements and employee outcomes through a Systematic Literature Review (SLR) guided by the PRISMA framework. A structured literature search initially identified 200 records, of which 117 peer-reviewed journal articles were retained after excluding non-journal publications. Following full-text screening and eligibility assessment, 45 empirical studies were included in the final analysis. The review reveals that flexible work arrangements are generally associated with positive employee outcomes, particularly job satisfaction, employee well-being, work–life balance, engagement, and performance, although the strength and direction of these relationships vary across organizational contexts and implementation practices. The findings highlight key research trends and methodological gaps, offering valuable insights for future research and practical implications for organizations seeking to effectively implement flexible work arrangements.A

People with visual impairment face barriers in cash transactions, particularly in identifying banknote denominations and verifying authenticity, which can reduce independence and increase vulnerability to fraud. This issue is also closely linked to the financial inclusion agenda, as access to reliable information on the value and authenticity of cash is a prerequisite for safe transactions among vulnerable groups. This community service program aimed to improve users’ competence through individualized, home-visit–based education and mentoring on an optical–UV sensor–based banknote denomination and authenticity detector with audio feedback. The program was implemented in collaboration with the Kebumen branches of PERTUNI and ITMI from October to December 2025. The intervention stages included an initial needs assessment, structured training using a concise module, hands-on practice through transaction scenarios, and follow-up mentoring. Evaluation employed a pre–post knowledge test, a practical performance checklist, and a usability questionnaire. Results indicated that the mean knowledge score increased from 55.1 to 80.7, and the success rate of denomination identification improved from 60.7% to 90.0%. This approach is relevant as an individualized mentoring model for blind communities when group-based training is difficult to implement.

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.

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.

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.

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.

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 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.

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

This study aims to analyze the impact of business combinations through acquisition on the financial performance of PT Sarana Menara Nusantara Tbk. The research employs a descriptive quantitative approach, focusing on the acquiring firm in the Indonesian telecommunications infrastructure sector. The data used are secondary data obtained from the company’s annual financial statements for the period 2019–2023, sourced from the Indonesia Stock Exchange and the company’s official website. Financial performance is analyzed using Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), and Debt to Equity Ratio (DER) by comparing the periods before, during, and after the acquisition conducted in 2021. The results indicate that the acquisition exerted short-term pressure on asset efficiency and profitability, as reflected by the decline in ROA and NPM in the year of acquisition. However, in the post-acquisition period, the company demonstrated an improvement in operational performance, particularly in Net Profit Margin, suggesting that the economic benefits of the business combination gradually materialized. Meanwhile, fluctuations in ROE and DER reflect adjustments in the capital structure following the acquisition. These findings suggest that the success of an acquisition cannot be evaluated solely based on short-term financial performance but requires continuous assessment to capture its medium- and long-term effects. This study provides practical implications for management in formulating post-acquisition integration strategies and contributes empirically to the accounting and finance literature on business combinations in Indonesia.

This study aims to analyze the application of accounting according to PSAK 65 concerning consolidated financial statements to assess the company's financial performance at PT Warung Begok Indonesia. The object of this study is a company in the field of processed livestock manufacturing for the period 2023-2024. The data in this study are primary data sourced from the annual financial reports of the head office and branches. The total sample in this study was 3 company financial reports. Data collection techniques used interviews and documentation. The hypothesis in this study was tested using descriptive analysis techniques. Based on the data analysis carried out in this study, it shows that the financial statements before and after consolidation have an effect on the assessment of the company's financial performance. This study contributes to increasing knowledge and understanding of the head office and branch consolidated reports according to PSAK 65, and can assess the company's financial performance. Although the consolidated report has been carried out, it is hoped that the company will continue to apply controls and policies in its implementation, because this can affect the assessment of the company's financial performance so that it will be useful in decision making.

This study aims to analyze and evaluate the health level of PT Bank Mega Tbk during the 2016–2023 period using the Risk-Based Bank Rating (RGEC) method. This research employs a quantitative descriptive approach with an evaluative design. The data used are secondary data obtained from audited annual financial statements published by PT Bank Mega Tbk and the Indonesia Stock Exchange. The analytical method refers to regulatory provisions by Bank Indonesia and the Financial Services Authority, covering four assessment factors: Risk Profile (measured by Non-Performing Loan and Loan to Deposit Ratio), Good Corporate Governance (based on self-assessment reports), Earnings (measured by Return on Assets, Return on Equity, BOPO, and Net Interest Margin), and Capital (measured by Capital Adequacy Ratio). Each indicator is assessed according to regulatory criteria and integrated to determine the Composite Rating (PK). The results show that PT Bank Mega Tbk consistently achieved Composite Rating 1 (PK-1), categorized as “Very Healthy,” throughout the observation period. The Risk Profile, Capital, and most Earnings indicators demonstrate strong and stable performance, while Good Corporate Governance remains consistently in the “Healthy” category. However, the Return on Equity indicator shows relatively lower performance compared to other profitability ratios, indicating the need for more optimal utilization of equity. Overall, the findings confirm the bank’s strong financial resilience while highlighting managerial implications related to capital efficiency.

This study aims to examine the implementation of audit procedures on accounts payable at PT XYZ by KAP Ramli & Rekan, with a focus on compliance with Auditing Standards and effectiveness in detecting material misstatements. Accounts payable are a key component of financial statements representing the company’s obligations to suppliers, requiring accurate presentation for assessing liquidity and capital structure. The study applies a descriptive qualitative method, collecting primary data through interviews with audit staff at KAP Ramli & Rekan and secondary data from relevant literature. The findings show that the audit procedures comply with professional standards, covering comprehensive stages including engagement acceptance, audit planning, risk and materiality assessment, and substantive testing. The planning process incorporates the COSO framework for evaluating internal control, establishes audit objectives based on the five management assertions, and utilizes ATLAS software and Microsoft Excel. KAP Ramli & Rekan apply control testing and substantive procedures, including external confirmations, inspection of supporting documents, review of aging payables, and subsequent payment testing. Risk assessment indicates low inherent and control risks, while detection risk is mitigated through substantive procedures. Overall Materiality is set at 60% of revenue and profit before tax, Performance Materiality at 3% of Overall Materiality, and Threshold Materiality at 3% of Performance Materiality. The study concludes that the audit procedures implemented by KAP Ramli & Rekan align with applicable Auditing Standards and are effective in addressing audit risks related to accounts payable. The implications highlight the importance of enhancing audit quality practices, particularly the effectiveness of planning and internal control evaluation in accounts payable audits.

This community service activity aims to strengthen teachers' capacity to manage deep learning through the utilization of artificial intelligence (AI) in elementary school classrooms. The rapid development of AI technology provides opportunities for teachers to design more personalized learning, conduct assessments efficiently, and make data-driven learning decisions. The program is implemented in three stages: preparation, execution, and evaluation. The preparation stage includes the development of training modules and mapping relevant AI applications to support deep learning. The execution stage consists of workshops, hands-on practice using AI applications, and collaborative development of teaching materials by teachers. Evaluation is conducted through reflective assessments, task performance evaluations, and follow-up interviews. The results of the activity show significant improvements in teachers' understanding of AI-based deep learning management, including the ability to use AI for lesson planning, formative assessment, and analyzing students' learning progress. Teachers also reported increased confidence in integrating AI into teaching activities and recognized the benefits of AI in promoting students' higher-order thinking skills. This program demonstrates that strengthening teachers' competencies in utilizing AI can enhance the quality of deep learning management in elementary schools.

The low effectiveness of student organizational performance in designing and managing structured work programs presents a major challenge to strengthening the leadership culture at MTsN 1 Probolinggo. This community service program aims to enhance students’ managerial and leadership capacities through performance mentoring for the Intra-Madrasah Student Organization (OSIM), based on innovations in learning management. The methods employed include training sessions, workshops, and continuous mentoring, all designed collaboratively with school stakeholders. The activity stages began with a needs analysis and problem mapping, followed by the development of training modules, the implementation of organizational management training, and interactive workshops aimed at developing adaptive and applicable work programs. The proposed solutions encompass strengthening foundational understanding of organizational management, enhancing the role of members in program planning, and facilitating the implementation of OSIM activities that support the creation of an active learning environment. Evaluation was carried out through pre-tests and post-tests to measure comprehension improvement, field activity observations, and assessments of work program achievement. The results indicate significant improvements in participants’ cognitive and practical skills, particularly in the planning, execution, and evaluation of OSIM programs that are now more structured and goal-oriented. In conclusion, this community service activity successfully reinforced student leadership competencies through an innovative approach to managing student organizations, while also promoting the development of a sustainable culture of collaborative work. Based on the outcomes, it is recommended that this mentoring model be replicated in other madrasahs and that OSIM leadership development programs be systematically integrated into extracurricular curricula to ensure the continuity and expansion of the positive impacts achieved

This study examines the inconsistency of merger and acquisition (M&A) impacts on financial ratio performance across sectors and evaluation methods. This literature review synthesizes ten empirical studies published between 2022 and 2025, focusing on financial indicators before and after M&A transactions. The findings show that the effect of M&A on financial performance varies widely depending on the industry context, time horizon, and analytical technique used. Studies in the technology and telecommunication sectors demonstrate significant improvements in profitability and operational efficiency, while research involving manufacturing and non-financial firms commonly reports insignificant changes in key ratios such as current ratio, total asset turnover, return on assets, and return on equity. Methodological differences also influence the reported outcomes, where long-term observations and comparative statistical testing tend to reveal a more pronounced financial impact compared to short-term assessment. These results indicate that M&A does not uniformly drive financial improvement and its success depends on post-integration strategy, sector dynamics, and measurement design. This study highlights the necessity of standardized evaluation frameworks to ensure more reliable performance interpretation in future M&A research.