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This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

Financial distress has become a critical issue for companies operating in highly competitive and capital-intensive industries, making effective corporate governance and the efficient utilization of intangible resources increasingly important for ensuring long-term financial sustainability. This study aims to examine the effect of Good Corporate Governance on Financial Distress and to investigate the mediating role of Intellectual Capital in this relationship. The research employs a quantitative explanatory approach using panel data from 23 energy and mining companies listed on the Indonesia Stock Exchange during the 2021–2024 period, resulting in 92 firm-year observations. Secondary data obtained from annual reports and financial statements were analyzed using descriptive statistics, classical assumption tests, panel regression analysis, and mediation analysis. The findings indicate that Good Corporate Governance has a significant negative effect on Financial Distress, suggesting that stronger governance practices improve financial stability and reduce the likelihood of financial difficulties. Intellectual Capital also demonstrates a significant negative effect on Financial Distress and partially mediates the relationship between Good Corporate Governance and Financial Distress. These findings imply that effective governance combined with the strategic management of intellectual resources enhances organizational resilience and supports sustainable corporate performance. The study contributes to the literature by integrating governance quality and intellectual capital into a single framework for explaining financial distress and provides practical insights for managers, investors, and policymakers in strengthening corporate sustainability.

This study examines the financial performance of PT Unilever Indonesia Tbk during the 2023–2025 period by evaluating key financial indicators, namely the Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA), and Return on Equity (ROE). The study aims to assess the company's financial condition and analyze the impact of its business transformation strategy on financial performance. A descriptive quantitative approach was employed using secondary data obtained from the company's published annual financial reports. Data analysis focused on comparing financial ratio trends over the three-year period to evaluate liquidity, solvency, and profitability performance. The findings indicate that the company's financial performance experienced fluctuations during the business transformation process. Liquidity and solvency gradually improved toward the end of the observation period, reflecting stronger short-term financial capability and a healthier capital structure. Profitability also demonstrated increased efficiency in utilizing company assets, although changes in equity returns indicated adjustments in capital management during the transformation process. Overall, the implementation of the company's transformation strategy contributed positively to strengthening financial performance and improving resilience in responding to changing business conditions and market competition. This study provides useful insights for management, investors, and other stakeholders in evaluating the effectiveness of corporate transformation strategies through financial ratio analysis and highlights the importance of maintaining financial stability to support sustainable business growth.

This study aims to compare the performance of three boosting algorithms, namely XGBoost, LightGBM, and CatBoost, to predict the success of MSMEs. The data used consists of 250 entries with 13 attributes that include business actor characteristics, initial capital, industry experience, financial record-keeping, internet utilization, business planning, partnerships, and the target variable success. The pre-processing stage includes checking for missing values, standardizing numerical attributes, and splitting the data into 80% training data and 20% test data. The evaluation results show that XGBoost provides the best performance with an accuracy of 0.92, precision of 0.8333, recall of 0.8333, F1-score of 0.8333, and ROC-AUC of 0.9715. LightGBM has an accuracy of 0.88, while CatBoost achieves an accuracy of 0.90. The research results show that XGBoost has the best ability to classify successful and unsuccessful MSMEs. The feature importance results also show that the success of MSMEs is influenced by a combination of several key factors. This research emphasizes that boosting algorithms are effectively used as predictive models to support the analysis of MSME success.

This study aims to examine the implementation of Probolinggo City Regional Regulation Number 2 of 2024 concerning the Respect, Protection, and Fulfillment of the Rights of Persons with Disabilities, specifically regarding entrepreneurial rights in Kanigaran District. A descriptive qualitative approach with a single case study design was employed. Data were collected through in-depth interviews with four key informants, field observation, and documentary study. Data analysis used Miles and Huberman's interactive model, interpreted through Thomas B. Smith's policy implementation theory encompassing four variables: Idealized Policy, Target Groups, Implementing Organization, and Environmental Factors. Findings indicate that implementation has been underway but has not yet reached an optimal state. The policy possesses strong normative substance, yet socialization to target groups remains shallow and uneven. Entrepreneurial motivation among persons with disabilities is high, but constrained by limited capital, social stigma, transportation barriers, and insufficient post-training mentorship. The DKUP has conducted training and marketing facilitation programs, however capital support capacity and sustained mentorship remain critically limited. Environmental factors reveal potential through the KDK community and digital technology, while social stigma and transportation infrastructure continue to pose significant obstacles.

This study aims to assess the financial performance of 11 non-financial companies that conducted acquisitions in 2025 and are listed on the Indonesia Stock Exchange (IDX). Using a quantitative descriptive-comparative approach with a case study design, six financial ratios were analyzed: Current Ratio (CR), Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Total Asset Turnover (TATO), Return on Assets (ROA), and Return on Equity (ROE). Data were obtained from consolidated financial statements as of December 31, 2024 (pre-acquisition) and December 31, 2025 (post-acquisition). The results show that the impact of acquisitions varies across companies. No consistent or significant differences were found in the CR, DAR, DER, ROA, or ROE ratios between the two periods. Meanwhile, the TATO ratio tended to decrease after the acquisition, indicating that the newly consolidated assets have not yet operated optimally. These findings confirm that the short-term financial impact of an acquisition is heavily influenced by the transaction’s funding structure, the size of the acquired entity, and the industry sector. This study contributes to the financial accounting literature on corporate acquisition strategies in the Indonesian capital market.

This study aims to evaluate the level of sharia compliance in musyarakah contracts within micro-enterprise financing. Musyarakah is a partnership-based financing contract that emphasizes cooperation, profit-sharing based on an agreed ratio (nisbah), and proportional risk sharing in accordance with each party’s capital contribution. In practice, the implementation of musyarakah contracts in micro-enterprise financing must be assessed against the Fatwa of the National Sharia Council–Indonesian Ulema Council (DSN-MUI), principles of fiqh muamalah, and Islamic banking regulatory frameworks in Indonesia. The findings show that the implementation of musyarakah working capital financing in Islamic banking is generally in the good category. However, two non-compliance issues with sharia principles were identified. First, there is an imbalance in work participation, where the business is fully managed by the customer while the bank only provides supervision and guidance without active involvement, whereas active participation of partners is a fundamental principle of musyarakah. Second, there is an element of riba due to the use of a fixed profit-sharing scheme, even though profits in musyarakah should be uncertain and based on actual business performance. The study implies that Islamic banks need to improve musyarakah implementation to ensure full compliance with DSN-MUI fatwas, particularly in terms of active bank participation and non-fixed profit-sharing arrangements. Properly implemented, musyarakah financing can strengthen micro and small enterprises by promoting justice-based and risk-sharing economic cooperation.

The Indonesian Archipelagic Sea Lane II (ALKI II) constitutes a strategic route stretching from the Sulawesi Sea to the Indian Ocean with trade values reaching USD 1.5 million daily and traversed by more than 36,773 vessels annually. The complexity of maritime security threats in this region has increasingly intensified following the relocation of the capital city to East Kalimantan, thereby demanding an effective decision support system to assist Indonesian Warship Commanders in making operational decisions that are rapid, accurate, and in accordance with applicable legal provisions. This research employs a qualitative approach through in-depth interviews with four maritime expert sources, with data analysis using NVivo 12 software. Analysis results identified maritime operational complexity and the urgent need for a comprehensive decision support system. These findings subsequently served as guidance in designing a Decision Support System (DSS) with a tab-based interface that integrates international legal frameworks such as UNCLOS 1982, Law No. 3/2025 on TNI, and related national regulations to generate structured action recommendations along with their legal foundations. Research findings demonstrate that the developed DSS successfully integrates operational, legal, and situational aspects to support decision-making that is rapid, accurate, and legally compliant. This system has proven to enhance the effectiveness of Indonesian Warship Commanders in addressing the complexity of maritime security (KAMLA) challenges in ALKI II through the provision of legally-based action recommendations from national and international frameworks accessible in realtime during operational situations.  

Although MSMEs are crucial to the economy, the sustainability of non-franchise micro-enterprises is often hampered by suboptimal financial governance. Low utilization of financial information, lack of separation between personal and business finances, and unstructured cash flow management are challenges that can affect long-term business sustainability. This quantitative study aims to evaluate the impact of financial record keeping, capital planning, and cash cycle management on the sustainability of non-franchise micro-enterprises in Mekargalih Village, Garut Regency. Using a survey method and saturated sampling technique, data from 70 business owners were analyzed using multiple linear regression. The results of the study indicate that financial record keeping does not have a significant impact on business sustainability, indicating that recording activities are still administrative in nature and have not been optimally utilized as a basis for business decision-making. Conversely, capital planning and cash cycle management have been shown to have a positive and significant impact on business sustainability. Business owners who are able to plan capital needs and maintain smooth cash flow tend to be more able to maintain the stability of their business operations. Simultaneously, these three variables contribute 45.2% to business sustainability. This finding confirms that the ability to allocate capital andKeywords: business continuity; financial records; capital planning; cash cycle; micro-enterprises.

The increasingly dynamic organizational environment demands strategic human resource management to maintain competitiveness and achieve organizational goals. Performance appraisal serves not only as an evaluation tool but also as the basis for decision-making regarding employee career development. This study aims to analyze the impact of performance appraisal on career development based on various empirical research findings. The method used is a Systematic Literature Review (SLR) with the PRISMA framework and a descriptive-qualitative approach. Data were obtained from scientific articles on Google Scholar, Garuda, and ScienceDirect containing quantitative studies from the 2022–2026 period. The data were then analyzed using narrative synthesis to identify patterns of relationships between performance appraisal and career development. The results of the study indicate that performance appraisal has a positive and significant effect on employee career development. An objective, transparent, and measurable appraisal system helps organizations identify employee potential, enhance competencies, determine training needs, and support promotions and career opportunities. These findings align with Performance Management Theory, Human Capital Theory, Goal-Setting Theory, and Expectancy Theory. Therefore, the integration of performance appraisal and career development is a key strategy in building a competent, productive, and sustainable workforce.

Flooding remains a recurrent hazard in the Special Capital Region of Jakarta (DKI Jakarta), causing substantial disruptions across multiple dimensions community life, including social well-being and economic activities. The availability of flood-related information through the Jakarta One Data Portal (Satu Data Jakarta) provides significant opportunities for broader data utilization; however, transforming such information into meaningful assessments regional vulnerability requires a systematic analytical approach to generate more comprehensive understanding of the conditions of individual urban villages (kelurahan). This study focuses on the classification areas based on the characteristics and impacts of flood events occurring throughout DKI Jakarta. The analysis utilizes flood event records from 2023 to 2025 and incorporates several indicators, including the number of flood occurrences, the number of affected neighborhood associations (RW), the number affected households, the number of affected residents, the number of evacuees, the number of evacuation sites, and floodwater depth. Data processing was conducted using the Knowledge Discovery in Databases (KDD) framework, encompassing data selection, cleaning and preprocessing, transformation, pattern exploration, result evaluation, and knowledge extraction. The findings demonstrate that three-cluster solution effectively captures variations in flood vulnerability levels, corresponding to low-, moderate-, and high-risk categories. A total of 96 urban villages were classified as low-risk, 27 as moderate-risk, and 46 as high-risk areas. The resulting clustering patterns provide a clearer spatial representation of flood-risk distribution across urban villages, thereby offering valuable insights for the development more targeted mitigation strategies, the prioritization of flood management interventions, and the enhancement of evidence-based decision-making processes in DKI Jakarta.

This study investigates the role of Baitul Maal wa Tamwil (BMT) in empowering Micro, Small, and Medium Enterprises (MSMEs) through the integration of Maqashid Sharia principles and financial inclusion strategies. Despite the strategic importance of MSMEs in economic growth and poverty reduction, many face challenges in accessing formal financial services. BMT, with its dual function of social (maal) and commercial (tamwil) activities, offers a unique platform to bridge this gap. Using a qualitative systematic literature review guided by PRISMA, this study analyzes 30 relevant articles to examine BMT operational models, implementation of Maqashid Sharia objectives, financial inclusion practices, and their impact on MSME performance. Findings indicate that BMT effectively supports MSMEs in capital access, income generation, and business resilience, but inconsistencies in balancing social and commercial objectives limit. holistic empowerment. Integrating Maqashid Sharia principles enhances ethical and sustainable outcomes, while financial inclusion expands outreach to underserved entrepreneurs. Optimization strategies, including strengthening institutional capacity, combining financial and non-financial support, and context-specific interventions, are essential for maximizing BMT effectiveness. This study contributes a comprehensive framework linking ethical, financial, and empowerment dimensions, offering practical guidance for policymakers and BMT managers in promoting inclusive and sustainable MSME development.

Human Resource Management (HRM) plays a strategic role in enhancing organizational productivity through effective management of human capital. This study aims to analyze the influence of training and development, compensation, work environment, and work motivation on employee productivity. The research employed a quantitative approach using a survey method. The population consisted of employees at manufacturing companies in Banten Province, with a sample of 120 respondents selected through purposive sampling. Data were collected using a structured questionnaire and analyzed using multiple linear regression. The results showed that training and development (t = 4.071; sig. = 0.000), compensation (t = 3.397; sig. = 0.001), work environment (t = 3.384; sig. = 0.001), and work motivation (t = 3.046; sig. = 0.003) each had a significant positive effect on employee productivity. Simultaneously, the four independent variables explained 67.4% of the variance in productivity (R² = 0.674; F = 59.821; sig. = 0.000). These findings underscore the importance of integrated HRM practices in improving employee productivity and organizational competitiveness.

Kampung Batik Okra, located in Kranggan Urban Village, Bubutan District, Surabaya City, represents a community-based creative economy initiative officially inaugurated on 28 December 2022 by the Surabaya City Government. This study aims to analyze the facilitating role of the urban village administration in strengthening the creative economic capacity of residents through the batik industry, as well as to identify supporting and inhibiting factors for community empowerment in Kampung Batik Okra. A descriptive qualitative approach was employed, with data collected through in-depth interviews, participatory observation, and document analysis. Informants were purposively selected, encompassing village government officials, batik group administrators, artisans, and academic facilitators. The findings reveal that the urban village administration performs three principal facilitative roles: (1) facilitation of training and skill enhancement; (2) facilitation of market access and promotion; and (3) facilitation of multi-stakeholder partnerships. These roles contribute significantly to the strengthening of residents’ creative economic capacity, as evidenced by an increase in active artisans, product diversification, and expanded marketing networks. Nevertheless, limited human resource capacity within the village administration, inconsistent community participation, and restricted access to capital remain structural barriers requiring more systemic policy interventions. This research offers a conceptual framework of empowerment-based facilitating roles for urban villages, which may serve as a reference for developing creative economy villages in Indonesian urban areas.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

Tax avoidance practices remain a crucial issue due to their potential to erode state revenue and hinder national development financing. This study aims to analyze and evaluate the effect of fixed capital intensity, Environmental, Social, and Governance (ESG) performance, and political connections on tax avoidance practices. The research method used is quantitative with a panel data analysis approach under the selected Random Effect Model (REM) estimation. The research population covers all companies listed on the Indonesia Stock Exchange (IDX) for the 2023–2024 period. Through the purposive sampling method, a final sample of 259 companies was obtained, resulting in 518 observation data over two years. The partial empirical results demonstrate that fixed capital intensity has a significant negative effect on tax avoidance. Conversely, both ESG performance and political connections are proven to have a significant positive effect on tax avoidance. Simultaneously, the three independent variables significantly influence corporate tax avoidance actions, contributing an Adjusted R-squared value of 10.43%. The practical implication of this study emphasizes the urgent need for tax authorities to increase oversight on companies indicated to be utilizing ESG reporting as a greenwashing strategy or leveraging political protection to avoid taxes. For corporate management, these findings serve as an evaluation to align sustainability commitments with ethical fiscal compliance.

Concrete volume calculation is a crucial factor in preventing cost overruns when preparing the Budget Plan (RAB) for construction projects. In arch bridge projects, the complex structural geometry often makes conventional volume calculation methods complicated and prone to errors, particularly due to the geometric complexity of the arch beams. This study aims to analyze the comparison of concrete volume calculation results between the conventional method and the Building Information Modeling (BIM) method using Autodesk Revit in terms of cost-effectiveness. The case study was conducted on the Short Span II Pulau Balang Bridge Duplication Project in the Nusantara Capital City (IKN), Penajam Paser Utara Regency, East Kalimantan. The research objects include substructures (bore piles, pile caps, abutments, piers, and wing walls) and superstructures in the form of arch beams. The research method employs a quantitative approach by calculating concrete volumes conventionally using AutoCAD and Microsoft Excel, as well as calculating with BIM Autodesk Revit through three-dimensional modeling and Quantity Take-Off (QTO) exports. The results indicate that the BIM Autodesk Revit method generates a larger concrete volume compared to the conventional method, resulting in a higher total cost based on the BIM volume. The total cost for the conventional method amounted to IDR 142,613,245,996.12, while the BIM Autodesk Revit method amounted to IDR 143,127,208,186.60. These differences are influenced by the level of calculation detail, the simplification of shapes in the conventional method, and the precision of modeling in Autodesk Revit.

This community service program was conducted at GPIA Sidoasri, Malang Regency, a church community located in a rural area with limited access to capital, technology, and market opportunities. To improve the economic welfare of its members, the church initiated a micro-enterprise producing banana chips and jackfruit chips. However, the business faced several challenges, including unattractive product packaging, a short shelf life due to the absence of preservatives, and difficulties in determining competitive and profitable selling prices. To address these issues, the service team provided training on marketing strategies and business capital management. The training covered product branding through attractive packaging, the use of digital promotion to expand market reach, the separation of personal and business finances, simple financial record-keeping, and responsible capital management practices. The program was implemented through lectures, interactive discussions, and participant mentoring. The results showed that participants gained a better understanding of marketing strategies and basic financial management. Although challenges such as limited capital and low digital literacy remained, participants demonstrated strong enthusiasm to apply the knowledge and skills acquired during the program. This activity highlights that the success of micro-enterprises depends not only on product quality but also on effective marketing strategies and sound capital management. Furthermore, the program reinforces the importance of careful planning and responsible stewardship in business, as reflected in the wisdom of Proverbs 21:5.

The high volatility of cryptocurrency assets, particularly Ethereum, poses a significant challenge for investors during market downturns. Traditional passive strategies often lead to substantial capital erosion in bearish conditions. This study explores the application of Deep Reinforcement Learning (DRL) through the Deep Q-Network (DQN) algorithm to develop an adaptive trading agent. By integrating technical indicators—Relative Strength Index (RSI), Simple Moving Average (SMA), and Moving Average Convergence Divergence (MACD)—the proposed model aims to optimize decision-making processes. Experimental results using historical data from 2020 to 2026 demonstrate that while the market experienced a significant decline of 19.55%, the DQN agent successfully maintained capital stability with a marginal deviation of only -0.54%. This finding suggests that the DQN-based approach offers superior risk mitigation and capital preservation capabilities compared to conventional buy-and-hold strategies in volatile financial environments.

Poverty is a multidimensional problem that remains a major development challenge in Central Tapanuli Regency. Growth in Gross Regional Domestic Product (GRDP), increased realization of Foreign Direct Investment (PMA) and Domestic Direct Investment (PMDN), and zakat collection should be important instruments in reducing poverty rates. However, data from 2019–2023 shows a discrepancy, where the growth in these macroeconomic and social indicators is not accompanied by a decrease in the number of poor people. This study aims to analyze the influence of zakat, GRDP, PMA, and PMDN on poverty levels in Central Tapanuli Regency. The research method used is qualitative descriptive analysis with secondary data from BPS, BAZNAS, and BKPM as well as interviews with relevant parties. The results show that zakat does contribute to alleviating the burden on mustahik, but its role is still limited because the majority of distribution is consumptive. GRDP increased from Rp9.95 trillion in 2019 to Rp13.67 trillion in 2023, but the resulting economic growth is not yet inclusive. Foreign direct investment (FDI) tends to be oriented towards large capital with limited labor absorption, while domestic direct investment (PMDN) is closer to local needs but still less than optimal in poverty alleviation. Overall, the increase in zakat, GRDP, FDI, and PMDN has not been able to reduce the poverty rate, which actually increased from 376,474 people in 2019 to 489,760 people in 2023. Thus, a more inclusive development strategy, optimization of productive zakat, and investment policies that favor labor-intensive sectors and MSMEs are needed so that economic growth truly impacts poverty reduction.