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Sandwich composites are lightweight structural materials with a high strength-to-weight ratio and have potential as alternatives to conventional materials. This study aims to analyze the effects of core thickness variation and the number of skin layers on the bending strength of fiberglass-skinned sandwich composites with an A-flute cardboard honeycomb core. The research employed an experimental method using three-point bending tests in accordance with ASTM C393. Core thicknesses of 10 mm, 20 mm, and 30 mm were investigated, while the number of fiberglass skin layers was varied at 1, 2, and 4 layers. Bending strength was evaluated based on core shear strength and skin bending stress, expressed in MPa. The results show that the highest average core shear strength was obtained at a core thickness of 10 mm with 4 skin layers, while the lowest value occurred at a core thickness of 30 mm with 1 skin layer. The highest skin bending stress of 43.40 MPa was achieved by the specimen with a 10 mm core thickness and 1 skin layer, whereas the lowest value of 11.83 MPa was observed at a 30 mm core thickness with 4 skin layers. These results indicate that increasing core thickness tends to reduce bending strength based on core shear strength, while increasing the number of skin layers enhances the bending performance of the sandwich composite, and an interaction effect between the two variables is present.

The increasing demand for scalable and high-quality digital marketing content has exposed limitations in traditional manual copywriting processes, which are time-intensive and difficult to scale. This research proposes an adaptive AI-driven copywriting framework that integrates a full-stack web architecture with optimized prompt engineering strategies for automated content generation. The system is implemented using React.js for the frontend, Node.js with Express for backend services, and a GPT-based API for language generation. Unlike prior implementations, this research introduces a structured prompt optimization mechanism to enhance content relevance and consistency. Experimental evaluation was conducted using multiple datasets of marketing prompts, with comparisons against baseline GPT usage and manual copywriting. Quantitative results show that the proposed system achieves improvements in BLEU (+18.7%) and ROUGE-L (+21.3%) scores over baseline methods. Human evaluation involving 30 participants indicates a significant increase in perceived content quality, coherence, and persuasiveness (p < 0.05). System performance analysis demonstrates an average response time of 1.8–3.0 seconds and a GTmetrix performance score of 82%. The findings confirm that the proposed framework significantly enhances efficiency, scalability, and content quality, contributing to both applied AI systems and intelligent web-based content production.

SR12 Herbal Cosmetics is a company engaged in the field of herbal and skin care. Founded in 2015 byToni Firmansyah, S. Farm., Apt. and Asrianty Salam, Farm. This company has a vision to provide benefits to many people through the herbal and skin care products they produce. SR12 Herbal Cosmetics products are formulated based on research from certified scientists, and have been tested at the Sucofindo Laboratory, are free of mercury and hydroquinone, and have been registered with the Indonesian Food and Drug Supervisory Agency (BPOM RI). SR12 Herbal Cosmetics has several factories in West Java Province and has an extensive distribution network with hundreds of distributors and tens of thousands of partners throughout Indonesia. The goal to be achieved is to produce a management information system model including a management information system for PT SR12 Herbal Cosmetics. The research object chosen is a company in the field of cosmetics and skin care which has its head office in Gunung Sindur, West Java. This selection aims to form a management information system design model that is able to produce relevant and timely information for planning, controlling, decision making and evaluating the performance of activities. For the Web-Based Instagram Content Management Information System Design project to Support SR12 Herbal Cosmetics' Brand Awareness, I used Agile (Scrum) due to the dynamic nature of digital marketing and potential changes to the Instagram API or business needs. This allowed SR12 to get core functionality faster and provide iterative feedback, ensuring the system built was truly relevant to their brand awareness needs.

This study investigates the effect of total risk on firm performance and sustained growth among consumer non-cyclicals manufacturing companies listed on the Indonesia Stock Exchange (IDX) over the period 2019–2023. Total risk is operationalized through the systematic risk proxy (Beta/β), estimated via the Capital Asset Pricing Model (CAPM) framework as the covariance between individual stock returns and the market return divided by the variance of market returns, using the Jakarta Composite Index (JCI) as the market benchmark. Firm performance is measured through Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q, while sustained growth is operationalized following Gerson et al. (2025) as SG = b × ROE, where b denotes the earnings retention ratio. Panel data regression analysis is applied to 225 firm-year observations drawn from 45 companies, with model selection guided by the Chow and Hausman specification tests. The Fixed Effect Model (FEM) is adopted for ROA, ROE, and SG, while the Random Effect Model (REM) is applied for Tobin’s Q. Results indicate that systematic risk exerts a significant negative effect on ROA (β = −0.312; p < 0.01) and ROE (β = −0.278; p < 0.01), but is statistically non-significant for Tobin’s Q, suggesting that capital market pricing in Indonesia does not fully incorporate systematic risk information. Critically, systematic risk exerts the largest and most significant negative effect on sustained growth (β = −0.347; p < 0.01), revealing a dual transmission mechanism through which risk suppresses ROE while simultaneously inducing more conservative dividend policies, both of which constrain long-run growth sustainability. These findings carry important implications for corporate risk management strategy and empirically enrich the literature on risk, performance, and growth in emerging capital markets.

This study examines the effect of working capital on firm performance and sustained growth among consumer non-cyclicals manufacturing companies listed on the Indonesia Stock Exchange (IDX) over the period 2019–2023. Working capital is operationalized through three distinct proxies derived from Akgün and Memiş Karatəs (2021): the Cash Holding Level (CHL), which measures the proportion of cash and cash equivalents relative to total assets; the Cash Interactive Effect (CIE), which captures the efficiency of converting revenue into operating cash flow; and the Gross Working Capital Ratio (GWCR), which reflects the share of current assets within total assets. Firm performance is assessed through Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q, while sustained growth is measured using the model proposed by Gerson et al. (2025), expressed as SG = b × ROE, where b denotes the earnings retention ratio. Panel data regression analysis is applied to 225 firm-year observations drawn from 45 companies. The study employs the Fixed Effect Model (FEM) for ROA and ROE, and the Random Effect Model (REM) for Tobin’s Q, as determined by the Hausman specification test. The findings reveal that CHL and CIE exert significant positive effects on ROA and ROE, while CIE is the only proxy to produce a statistically significant positive effect on Tobin’s Q. With respect to sustained growth, CHL and GWCR demonstrate significant negative effects, whereas CIE shows a significant positive effect, indicating that operational efficiency dimensions of working capital actively support long-term growth sustainability. These results reinforce the liquidity management theory and contribute empirical evidence that the structure and efficiency of working capital are strategic determinants of both short-term financial performance and long-term growth sustainability in Indonesia’s consumer goods manufacturing sector.

This research investigates how Environmental, Social, and Governance (ESG) practices influence the tax liabilities of consumer cyclical companies in Indonesia between 2020 and 2024. By employing the Effective Tax Rate (ETR) as a proxy for tax burden, the study analyzes 160 data points from 32 purposively selected firms. Utilizing a Fixed Effect Model for panel data regression, the empirical results indicate that superior ESG performance significantly correlates with a higher ETR. This suggests that corporations with higher sustainability transparency tend to exhibit better tax compliance and avoid aggressive tax avoidance schemes. Grounded in stakeholder and legitimacy theories, these findings underscore that ethical ESG adoption strengthens public accountability and enhances the integrity of corporate governance within the Indonesian capital market.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

The purpose of this study is to examine the effect of Good Corporate Governance (GCG), financial performance, and Earning Per Share (EPS) on firm value. The object of this research consists of state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange during the period of 2021–2024. This study employs a quantitative approach using secondary data in the form of annual financial statements as the primary source. The sample was selected using purposive sampling based on predetermined criteria, ensuring that only companies with complete data and consistent reporting were included in the analysis. The independent variables analyzed include the audit committee, independent commissioners, institutional ownership, Return on Assets (ROA), and Earning Per Share (EPS). Multiple linear regression analysis was used to process the data in this study, allowing the researchers to examine the simultaneous and partial effects of the variables on firm value. The findings indicate that firm value is significantly influenced by financial performance, particularly ROA, highlighting the importance of operational efficiency and profitability in enhancing shareholder wealth. While certain GCG variables such as institutional ownership showed positive influence, other elements like audit committees and independent commissioners produced mixed results, suggesting that governance mechanisms may have varying effects depending on organizational context. Meanwhile, EPS demonstrated inconsistent results in relation to firm value, implying that market perceptions of earnings may not fully capture the impact on overall firm valuation. This study provides insights for policymakers, investors, and corporate managers on the relative importance of governance and financial indicators in value creation for state-owned enterprises.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

This study aims to analyze the effects of profitability, leverage, liquidity, firm size, and the audit committee on sustainability reporting in energy-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. This research is motivated by the increasing demand for corporate transparency and accountability regarding economic, environmental, and social impacts. The study uses secondary data from annual reports and sustainability reports, employing purposive sampling. The data were analyzed using multiple linear regression, corrected with the Newey-West method to account for violations of classical assumption tests. The results show that profitability, firm size, and the audit committee have positive and significant effects on sustainability reporting, while liquidity has a negative and significant effect. Meanwhile, leverage does not affect sustainability reporting. These findings support stakeholder theory, which posits that companies with strong financial performance and effective governance tend to enhance the disclosure of sustainability information. This study is expected to inform management and investors in their decision-making.

This study examines how environmental, social, and governance issues shape the impact of financial success on firm value. To understand the link between the variables, the legitimacy theory and signal theory are employed. The population used includes non-financial enterprises from 2019–2023 that are listed on the Indonesia Stock Exchange (IDX) and are part of the Refinitiv database. Secondary data was gathered from the Indonesia Stock Exchange, official corporate websites, and the Refinitiv database in the form of sustainability reports, annual reports, and ESG scores. The sample size is 176 company data points over 5 years, selected using the purposive sampling method. Firm value is positively and significantly impacted by financial success, according to the research findings. ESG also improves the link between firm value and financial performance, according to the study. Lastly, the study's results also show that ESG increases business value, while not significantly. These findings suggest that the study's ESG variable is a pure moderator variable. Furthermore, the implications of the research both theoretically and practically have been discussed.

Sentiment analysis for Indonesian regional languages faces two persistent challenges: labeled training data is extremely limited for most regional varieties, and transformer models pre-trained on Bahasa Indonesia do not generalize reliably to languages with substantially different morphological structures. Prior work on the NusaX benchmark has primarily relied on direct fine-tuning, treating each regional language independently and without exploiting linguistic proximity between related languages as a transfer signal. This paper proposes Language-Similarity-Guided Transfer (LSGT), a sequential fine-tuning strategy that first adapts a pre-trained model to a pivot language selected using character trigram similarity, followed by fine-tuning on the target language. Four transformer models are evaluated across all 12 NusaX languages using the official train/validation/test splits: IndoBERT, NusaBERT, mBERT, and XLM-R. Performance is evaluated using four metrics: accuracy, macro F1, macro precision, and macro recall. Experimental results show that LSGT improves macro F1 in 44 of 48 model-language combinations, demonstrating that the fine-tuning strategy itself is a major factor in low-resource cross-lingual sentiment classification. XLM-R benefits most strongly from LSGT, achieving an average improvement of +0.137 macro F1 and a peak gain of +0.298 on Madurese. SHAP-based token attribution analysis further reveals that predictions rely heavily on named entities and domain-specific nouns rather than sentiment-bearing vocabulary, indicating a dataset-level bias inherited from the original SmSA corpus and propagated through the NusaX translation pipeline.

This study aims to analyze the effect of capital structure and financial performance on firm value at PT Elang Mahkota Teknologi Tbk during the period 2015–2024. Capital structure is proxied by the Debt to Equity Ratio (DER), financial performance is measured by Return on Equity (ROE), and firm value is proxied by Price to Book Value (PBV). This research employs a quantitative approach with a descriptive method. The data analysis techniques used include multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results show that capital structure (DER) has a positive and significant effect on firm value, as indicated by a t-statistic of 3.302, which is greater than the t-table value of 2.365, with a significance level of 0.013 (< 0.05). Financial performance (ROE) also has a positive and significant effect on firm value, with a t-statistic of 2.638, exceeding the t-table value of 2.365, and a significance level of 0.034 (< 0.05). Simultaneously, DER and ROE have a significant effect on firm value, as evidenced by an F-statistic of 6.384, which is greater than the F-table value of 4.737, with a significance level of 0.026 (< 0.05). The coefficient of determination indicates that 64.6% of the variation in firm value can be explained by capital structure and financial performance, while the remaining percentage is influenced by other variables outside the research model.

The practice of adulterating RON 92 (Pertamax) fuel has the potential to violate consumer rights and is contrary to applicable laws and regulations. The practice of mixing lower-quality fuel and then marketing it as RON 92 results in material and immaterial losses for users, including reduced vehicle performance and a loss of trust in business operators. This research aims to analyze the legal protections available to consumers regarding the practice of adulterating fuel based on Law Number 8 of 1999 concerning Consumer Protection and related provisions in Law Number 22 of 2001 concerning Oil and Gas. The research method used is normative legal research with a library research approach, through analysis of relevant laws and regulations, scientific literature, and secondary legal sources. The results indicate that the practice of adulterating fuel violates consumers' rights to comfort, security, safety, and accurate information as stipulated in Article 4 of the Consumer Protection Law, and violates the obligations of business actors as stipulated in Articles 7 and 8 of the Consumer Protection Law. Business actors can be held accountable for civil damages, dispute resolution through the Consumer Dispute Resolution Agency (BPSK), or subject to administrative and criminal sanctions in accordance with the Oil and Gas Law. Therefore, legal protection for consumers in cases of fuel adulteration requires an interconnectedness between effective government oversight, firm law enforcement, business actor accountability, and increased consumer legal awareness to ensure legal certainty and fairness in trade activities.

This study analyzes the influence of Green Accounting, Environmental Performance, and Corporate Governance on the Quality of Sustainability Reports in manufacturing companies listed on the Indonesia Stock Exchange (IDX). Report quality is measured by the completeness and transparency of disclosures based on GRI Standards. A quantitative method is employed, using a purposive sample of manufacturing firms from the 2020- 2023 period. Data is analyzed using multiple regression analysis. Green Accounting is proxied by environmental costs, Environmental Performance by PROPER ratings, Corporate Governance by the proportion of independent commissioners and institutional ownership, while report quality is measured through content analysis. The hypothesized results indicate that all three independent variables are expected to have a significant positive effect on Sustainability Report Quality. The implementation of green accounting, good environmental performance, and strong governance are predicted to enhance the quality of sustainability disclosures. This research contributes to environmental accounting literature and offers practical implications for regulators, investors, and corporate management in the context of ESG (Environmental, Social, and Governance) reporting.

This study explores how the integrated Resource-Based View (iRBV) and Dynamic Capabilities (DC) explain the early stage of SME internationalization in Indonesia. An exploratory single-case study design is employed on a koi-breeding SME that has engaged in export activities, using a Likert-scale questionnaire to identify VRIN resources, dynamic capabilities, export performance, and internationalization barriers. The findings indicate that the SME possesses relatively strong export market knowledge, network competence, and quality reputation, but remains weak in global certifications, administrative support, and logistical capacity. From a DC perspective, sensing and seizing capabilities are already developed, whereas transforming capability is still limited in terms of reconfiguring the business model, strengthening human resources, and institutionalizing export routines. Overall, the results underscore that the success of SME internationalization is determined not only by the ownership of internal resources, but also by the firm’s ability to reconfigure those resources in the presence of environmental and institutional constraint.

One of the most actively traded and liquid stock groups in the capital market is the LQ45 index, which consistently attracts investor attention due to its strong market capitalization and transaction volume. This study aims to analyze the influence of financial performance and financial management strategies on firm value among companies listed in the LQ45 index on the Indonesia Stock Exchange during the 2018–2022 period. The study population consisted of 73 LQ45-indexed companies, with purposive sampling used to select 23 companies that met the research criteria. This research employed a quantitative approach using path analysis to examine both direct and indirect relationships among variables. The findings indicate that profitability and leverage have a positive and significant effect on firm value. In addition, profitability and leverage also positively influence firm size, indicating that companies with stronger profitability and effective debt management tend to expand their operational scale. However, firm size does not significantly affect firm value and is unable to mediate the relationship between profitability, leverage, and firm value. These results suggest that investors place greater emphasis on profitability and leverage indicators than company size when evaluating firm value in LQ45 companies. Therefore, effective financial performance remains the primary factor in enhancing corporate value and investor confidence.

This study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employs a quantitative approach using secondary data obtained from published financial statements. The sample was selected using a purposive sampling method, resulting in 33 companies with a total of 60 observations. Data analysis was conducted using panel data regression with the assistance of SPSS software. Leverage is measured by the Debt to Asset Ratio (DAR), firm size by the natural logarithm of total assets (LnTA), profitability by Return on Assets (ROA), liquidity by the Current Ratio (CR), and dividend payment by the Dividend Payout Ratio (DPR). The results show that leverage, firm size, profitability, and liquidity simultaneously have a significant effect on dividend payments. Partially, firm size and profitability have a positive and significant effect on dividend payments, while leverage and liquidity do not have a significant effect. These findings indicate that companies with larger firm size and higher profitability tend to have a greater ability to distribute dividends to investors.

The rapid growth of the Internet of Things (IoT) has driven numerous innovations in wireless communications that not only demand technical efficiency but also raise philosophical questions about the nature of scientific knowledge. One such innovation is Physical Layer Network Coding (PLNC), a communication technique that utilizes signal interference as a source of information to enhance system performance. This paper examines the philosophical dimensions of science within PLNC, focusing on three fundamental aspects: ontology, epistemology, and axiology. Ontologically, PLNC represents a new paradigm in wireless communication that reinterprets interference not merely as noise but as an opportunity. Epistemologically, knowledge of PLNC is derived through scientific methods such as mathematical modeling, experimentation, and simulation—yielding intersubjective and verifiable truths. Axiologically, PLNC holds practical value in terms of energy efficiency, data reliability, and contributions to the sustainability of IoT ecosystems, while also raising ethical considerations regarding privacy and information security. Thus, this study demonstrates that the development of PLNC cannot be separated from philosophical reflection, emphasizing the profound interconnection between technological advancement, scientific methodology, and human values.