Publication Search

This study aims to analyze the determinants of tax aggressiveness in construction, property, and real estate companies listed on the Indonesia Stock Exchange (IDX) during 2021–2024. The sample consists of 80 companies with 220 observations, selected using purposive sampling based on criteria such as the availability of financial statements and the absence of losses during the research period. The variables include tax aggressiveness (ETR), profitability (ROA), leverage (DAR), board size, and firm size (SIZE). Data were analyzed using PLS-SEM with WarpPLS 8.0. The results show that profitability has a negative and significant effect on tax aggressiveness, while leverage has a positive and significant effect. Board size does not significantly affect tax aggressiveness but positively influences profitability and leverage. Firm size negatively affects profitability but positively impacts board size and leverage. These findings indicate that financial factors are more dominant in determining tax aggressiveness than board size, a corporate governance mechanism

The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER), and asset growth as measured by the asset growth proxy (Growth), will also be examined. The data collection process used secondary data and employed purposive sampling. The study’s initial population included 95 samples; however, after applying the criteria, 17 were found relevant. The methods used in this study include descriptive statistical analysis, classical assumption test, hypothesis testing, and multiple linear regression analysis. The study’s results suggest that profitability, liquidity, and leverage may have simultaneous effects on dividend policy. It appears that profitability and liquidity may positively affect dividend policy, while leverage may negatively affect it, and asset growth may have no effect. It is hoped that the results of this study will provide a useful reference point for management and other relevant parties as they plan dividend policy, maintain business continuity, and make investment decisions.

This study aims to examine the effect of leverage and institutional ownership on tax avoidance, with profitability as a moderating variable, in plantation sector and mining sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study employs a quantitative research method. The sample was selected using a purposive sampling technique, resulting in 16 companies as the research sample, with a total of 80 observations. Data analysis is conducted using multiple linear regression and moderated regression analysis (MRA). The results indicate that leverage and institutional ownership do not have a significant effect on tax avoidance. Furthermore, profitability is unable to moderate the relationship between leverage and tax avoidance as well as between institutional ownership and tax avoidance. This study has limitations related to the relatively small sample size, as many companies experienced losses during the observation period and therefore did not meet the sample selection criteria.

This study aims to determine the effect of Leverage and Investment Decisions on Profitability at PT Aneka Tambang Tbk for the 2015-2024 period, both partially and simultaneously. This research method uses quantitative with a asosiatif research type. Secondary data obtained comes from the Indonesia Stock Exchange website (www.web.idx.com) and the PT Aneka Tambang Tbk website. The results of this study show that the Leverage variable has a t count of -3.166 > t table 2.365 with a significant value of 0.016 < 0.05, so it can be concluded that the Leverage variable (X1) has a significant effect on Profitability (Y). The Investment Decision variable has a t count of -0.673 < 2.365 and with a significance level of the Investment Decision variable of 0.522 > 0.05, it can be concluded that the Investment Decision variable (X2) does not have a significant effect on Profitability (Y). And the results of the F Test obtained an Fcount value of 6.726 > Ftable 4.737 and a significant value of 0.023 < 0.05, meaning that the Leverage and Investment Decision variables together have a significant effect on Profitability. Therefore, the Leverage (X1) and Investment Decision (X2) variables together have a significant effect on the stock price of PT Aneka Tambang Tbk.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving economic growth and providing employment in Indonesia. However, many MSMEs are still utilizing digital technology to leverage social media as a marketing tool and strengthen their branding. This study aims to analyze the use of social media to increase product branding and sales at the Warung Kue HJ. Risna MSME, located in Karang Rejo Village, Balikpapan City. The research method used is a descriptive quantitative approach, with data collection techniques through field observations, direct interviews with MSME owners, and direct mentoring regarding social media use and online store creation. The results of this study indicate that improving social media accounts, creating business locations on Google Maps, and installing business banners with more attractive designs and colors can increase business visibility and understanding of the importance of branding through digital technology, positively impacting market expansion and potentially increasing business sales. This activity is expected to become a model for sustainable digitalization-based MSME mentoring to increase competitiveness in the era of digital transformation.

The Digital Population Identity (IKD) constitutes a pivotal government innovation aimed at transforming public services, yet its widespread adoption is impeded by disparities in digital literacy and inherent technical constraints. This community engagement activity, integrated with a participatory internship scheme, concentrates on analyzing and supporting the innovation diffusion trajectory executed by the Population and Civil Registration Department (Disdukcapil) of Kendal City. The adopted methodology employs a Participatory Action approach, strategically combined with a mobile service paradigm (jemput bola) across three designated urban villages: Langenharjo, Kebondalem, and Karangsari. Core interventions involved intensive, interpersonal socialization sessions and customized technical support for account activation. The assessment findings robustly suggest that the "jemput bola" model effectively leveraged interpersonal communication channels, thereby mitigating public skepticism and substantially elevating community involvement in IKD activation. While persistent challenges related to network instability and device incompatibility were observed, this direct, hands-on approach is ascertained as fundamentally crucial for achieving effective and equitable digital transformation at the local level.

Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial performance. The study is grounded in Agency Theory and employs a quantitative approach. The sample was selected using purposive sampling, resulting in 28 companies observed over four years, with a total of 112 secondary data observations obtained from annual reports or financial statements. Data analysis was performed using EViews 13 with a Moderated Regression Analysis (MRA) approach. The findings indicate that: (1) Fixed Asset Intensity has no significant effect on Tax Management; (2) Leverage has a significant negative effect on Tax Management; (3) Profitability does not moderate the relationship between Fixed Asset Intensity and Tax Management; and (4) Profitability strengthens the effect of Leverage on Tax Management.

The utilization of digital technology in the Industry 4.0 era has become crucial for vocational high school (SMK) students to build economic independence. However, partners at SMKN 1 Selo still face obstacles in optimizing social media and digital platforms as effective promotional tools for student work and self-development. This community service activity aims to enhance students' understanding and skills in using social media (Instagram, TikTok) and other digital platforms as creative marketing instruments. The method employed is a descriptive qualitative approach through participatory training, which includes material presentation on digital branding strategies, visual content creation practices, and copywriting techniques. The results of the activity indicate a significant improvement in students' technical abilities, where they demonstrated the capacity to produce engaging promotional content and understand social media algorithms to reach a wider audience. This study aims to describe the process and impact of utilizing social media and digital platforms as promotional tools for SMKN 1 Selo students. The primary focus of this activity is to provide a deep understanding of personal branding strategies and creative product marketing in the digital age. Through this program, it is expected that SMKN 1 Selo students will possess higher digital competitiveness and the ability to leverage the digital ecosystem to support the promotion of vocational products and their professional profiles in the future.

The increasing complexity and scale of modern cybersecurity threats necessitate the development of advanced systems capable of efficiently detecting, analyzing, and mitigating incidents in real time. This paper proposes an automated framework for digital forensics and incident response that leverages big data analytics and real time network traffic profiling. The framework integrates cutting-edge technologies, including Apache Spark for real time data processing and Hadoop for scalable data storage, combined with machine learning models like LSTM and Autoencoders to detect anomalies and threats in network traffic. By automating the process of incident detection and response, this framework significantly reduces the time required to identify threats and improves the accuracy of forensic evidence correlation across heterogeneous network environments. The study highlights the advantages of using machine learning models and big data tools to address the limitations of traditional manual and semi-automated systems, which often struggle to keep pace with large-scale data generation. Testing results demonstrate that the proposed framework can handle large data volumes efficiently, providing real time, actionable insights with significantly reduced response times. Additionally, the framework improves forensic analysis by enabling the correlation of evidence from different devices and protocols, making it more effective than traditional methods in identifying the root cause of security incidents. However, challenges related to data heterogeneity, scalability, and system integration were encountered during testing. The proposed framework holds promise for significantly enhancing the efficiency and effectiveness of cybersecurity operations, with future work focusing on further integration of advanced AI techniques and machine learning models for dynamic and adaptive incident response.

This study investigates the relationship between corporate governance characteristics, financial structure, and Enterprise Risk Management (ERM) disclosure in Indonesian non-financial firms. Focusing on manufacturing companies listed on the Indonesia Stock Exchange in 2023, the analysis examines whether board size, the proportion of independent commissioners, and leverage influence the extent of ERM disclosure. Using a quantitative approach, multiple linear regression is applied to secondary data obtained from firms’ annual reports. The findings indicate that board size and the proportion of independent commissioners do not have a significant effect on ERM disclosure, while leverage exhibits a positive and significant relationship. This result suggests that firms with higher debt levels are more inclined to enhance risk disclosure as a mechanism to address information asymmetry and demonstrate accountability to investors and creditors. The study contributes to the ERM and corporate governance literature by providing evidence from an emerging market setting and highlighting the practical importance of financial structure in shaping risk transparency, offering relevant insights for corporate decision-makers and regulators to strengthen sustainable risk management practices.

This study aims to analyze the effect of sustainability report disclosure, audit committee meeting frequency, liquidity, leverage, and total asset turnover on profitability in mining companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. Profitability is measured using Return on Equity (ROE). This research adopts a quantitative approach using secondary data obtained from annual financial statements and sustainability reports. The sample was selected using purposive sampling, yielding 34 mining companies with 102 observations in total. Multiple linear regression analysis was employed after fulfilling classical assumption tests. The results indicate that sustainability report disclosure, audit committee meetings, liquidity, leverage, and total asset turnover simultaneously have a significant effect on profitability. However, partially, total asset turnover has a positive and significant impact on profitability. Meanwhile, sustainability report disclosure, audit committee meeting frequency, liquidity, and leverage do not significantly affect profitability. These findings suggest that asset utilization efficiency plays a crucial role in improving profitability in the mining sector. This study is expected to provide insights for companies, investors, and regulators to understand the determinants of profitability better and to support improved corporate governance and financial decision-making in mining companies.

This study aims to analyze the effect of profitability, leverage, and liquidity on firm value in food and beverage sub-sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. Profitability is measured by Return On Assets (ROA), leverage by Debt to Equity Ratio (DER), and liquidity by Current Ratio (CR), while firm value is proxied by Price to Book Value (PBV). The study employs a quantitative approach using multiple linear regression analysis. The sample consists of 25 companies selected through purposive sampling, with a total of 125 secondary data observations obtained from annual financial statements. The results indicate that, partially, profitability, financial risk, and liquidity have a positive and significant effect on firm value. Simultaneously, the three independent variables also significantly affect firm value, with an adjusted R² of 43.4%, meaning that 56.6% of the variation in firm value is explained by other factors outside the model. These findings support agency theory and signaling theory, which suggest that strong financial performance, optimal debt management, and adequate liquidity provide positive signals to investors, thereby enhancing firm value.

This study examines how company size, asset growth, tangibility, leverage, and total asset turnover affect profitability in consumer manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2023, using secondary data collected via purposive sampling. The independent variables in this study include the natural logarithm of total assets, asset growth (this year’s total assets relative to the previous year), and tangibility (the fixed asset ratio to total assets). Leverage uses the debt-to-asset ratio, and total asset turnover uses the total asset turnover ratio, while the dependent variable of profitability uses return on assets. Of the 108 companies in the population, 19 that met the research sample criteria were selected, yielding 95 observations. Data analysis was conducted using multiple linear regression, accompanied by classical assumption tests and hypothesis testing through F-tests and t-tests. The findings of this study reveal that asset growth has a significant positive effect on profitability, while leverage shows a significant negative effect. However, firm size, tangibility, and total asset turnover do not exhibit significant relationships with profitability. This study contributes both theoretically and practically to understanding the internal determinants of financial performance in the consumer sector and serves as a reference for management.

This study aims to evaluate the effects of profitability, leverage, liquidity, and cash-flow shocks on the financial distress of companies in the hotel, restaurant, and tourism subsector listed on the Indonesia Stock Exchange during the period 2021 to 2024. The research approach employed is quantitative, using logistic regression analysis. The data analyzed are secondary data obtained from the annual financial statements of the respective companies. The results of the study indicate that, simultaneously, the four independent variables significantly influence financial distress. However, based on partial testing, each variable, namely Return on Assets (ROA), Debt to Equity Ratio (DER), Current Ratio (CR), and cash flow shock, does not show a significant relationship with financial distress. These findings imply that the risk of financial distress in this industry cannot be explained solely through a single financial indicator; instead, a more holistic approach is required. This study provides essential contributions to both management and investors in assessing companies' financial condition and formulating appropriate strategic decisions.

This research examines the analysis of Return on Equity (ROE), Quick Ratio (QR), and Debt to Equity Ratio (DER) on corporate valuation, as assessed by Price-to-Book Value (PBV), within technology firms listed on the Indonesia Stock Exchange (IDX) during the period from 2022 to 2024. The primary aim of this investigation is to ascertain the effects of profitability, liquidity, and leverage both in isolation and in conjunction on market valuation in an industry characterized by innovation and intangible assets. This research employs panel data regression analysis utilizing EViews 13 as the quantitative methodology. The findings reveal that ROE significantly enhances PBV, indicating that investors place considerable importance on firms that are capable of generating substantial returns on equity for shareholders. Conversely, QR and DER appear to have no discernible impact on PBV. This observation can be attributed to the unique nature of technology companies, wherein investors prioritize factors other than short-term liquidity and leverage. Nonetheless, when assessed collectively, the three metrics illuminate the variations in corporate value. These results suggest that while financial stability indices exert a positive yet comparatively subdued effect on investor sentiment within the technology sector, profitability remains a paramount determinant. The study elucidates the financial determinants that influence corporate value in innovation-driven industries, providing valuable insights for managers and investors alike.

This study aims to analyze the effect of asset growth, capital structure, and asset structure on the profitability of PT Astra Graphia Tbk during the period 2016–2023. The research employs a quantitative approach with a causal research design using secondary data derived from the company’s quarterly financial statements. A total of 32 quarterly observations were selected through purposive sampling. Profitability is measured using Return on Equity (ROE), while data analysis is conducted using multiple linear regression. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroskedasticity, and autocorrelation tests were performed to ensure the robustness of the regression model. The results indicate that asset growth, capital structure, and asset structure simultaneously have a significant effect on firm profitability. However, partially, only asset structure has a significant effect on profitability, while asset growth and capital structure show no significant influence. These findings suggest that efficient asset composition plays a more critical role in improving profitability than mere asset expansion or increased leverage. The managerial implication of this study highlights the importance of optimizing asset structure to enhance the firm’s ability to generate sustainable profits.

This research aims to analyze the role of internal social media (ISM) in facilitating collaboration and innovation among employees within organizations. With the increasing adoption of digital platforms in the workplace, ISM has become an important tool for enhancing communication, knowledge sharing, and social interaction. This study explores how the use of ISM influences employee collaboration, leading to increased innovation and overall organizational performance. Through surveys and interviews with employees across various industries, this research gathers data on ISM usage, perceptions of collaboration, and levels of innovation. The results of the study indicate that ISM plays a significant role in enhancing employee collaboration by providing a platform for easy communication, information sharing, and community building. Furthermore, the study finds that collaboration facilitated by ISM positively impacts employee innovation, leading to the development of new ideas, improved processes, and enhanced products. This research highlights the importance of ISM in fostering a culture of collaboration and innovation within organizations and provides practical insights for organizations looking to leverage ISM for competitive advantage.

This study aims to examine the influence of capital structure and liquidity on the profitability of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Capital structure is represented by the Debt to Equity Ratio (DER), while liquidity is measured using the Current Ratio (CR). Profitability is assessed through Return on Assets (ROA) and Return on Equity (ROE). This research employs a quantitative approach with a causality design and uses multiple linear regression as the analytical method. The sample consists of three manufacturing companies—PT Chandra Asri Pacific Tbk (TPIA), PT Aneka Tambang Tbk (ANTM), and PT Gudang Garam Tbk (GGRM)—selected through purposive sampling based on predetermined criteria. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroscedasticity, and autocorrelation were conducted, and all variables met the requirements for regression analysis. The findings reveal that DER has a negative and significant effect on both ROA and ROE, indicating that higher leverage reduces the company’s ability to generate profits. Conversely, CR has a positive and significant effect on profitability, suggesting that companies with stronger liquidity positions are more capable of sustaining operational activities and improving financial performance. The F-test results show that DER and CR simultaneously have a significant influence on profitability. Furthermore, the coefficient of determination demonstrates that more than half of the variation in profitability can be explained by the two independent variables. Overall, the study emphasizes the importance of maintaining an optimal balance between debt utilization and liquidity management. Effective capital structure policies and sufficient liquidity levels are essential for enhancing profitability and ensuring financial stability within the manufacturing industry. These findings provide valuable implications for corporate decision-makers, investors, and stakeholders in formulating financial strategies that support long-term performan.  

This study aims to determine the influence of Jejuby's TikTok content on the purchasing decisions of followers of the @jejubyofficial TikTok account. In today's digital age, social media platforms like TikTok have become one of the most effective promotional tools for reaching consumers, particularly in the beauty and skincare industry. Jejuby, as a local brand on the rise, actively leverages TikTok as a marketing platform by creating various types of content, including tutorials, testimonials, and visually appealing content. The theories used in this study are the Marketing Communication Theory with dimensions: Advertising, Sales Promotion, Personal Selling, Public Relations, and Direct and Digital Marketing. The Content Theory with dimensions: Credible, Shareable, Useful or Fun, Interesting, Relevant, Different, On Brand. The Purchase Decision Theory with dimensions: Need Recognition, Information Search, Evaluation of Alternatives, Purchase Decision, Post-Purchase Behavior. This study used a quantitative approach with a survey method. Sampling was conducted using simple random sampling and calculated using the Slovin formula with a margin of error of 5%. Data collection was carried out by distributing questionnaires to 92 respondents who were followers of the @jejubyofficial TikTok account. The research instrument was tested using validity and reliability tests, while data analysis was conducted using simple linear regression with a correlation coefficient (R) value of 0.711 in the strong category. The coefficient of determination (R²) value of 0.506 indicates that 50.6% of purchasing decisions are influenced by TikTok content, while 49.4% are influenced by other factors. The research results for TikTok content had an average of 3.47, while purchase decisions had an average of 3.54. The research results indicate that there is a significant influence between Jejuby's TikTok content and its followers' purchase decisions. This means that content packaged in a relevant manner and aligned with the brand's identity can influence consumers' decisions to purchase Jejuby products.

This study aims to analyze the influence of profitability, liquidity, and leverage on firm value, both partially and simultaneously. The background of this study is based on the importance of firm value as an indicator of managerial performance and a factor that attracts investor attention. The approach used is quantitative with a causal-associative research type. The data used is secondary data obtained from the financial statements of 19 companies in the healthcare sector. Based on the analysis, the results indicate that profitability has a positive and significant effect on firm value, indicating that good financial performance can increase market perception of firm value. On the other hand, liquidity and leverage do not show a significant effect on firm value. This indicates that these two factors do not significantly influence market assessments of companies in the healthcare sector that are the object of this study. However, simultaneously, all three variables are proven to have a significant effect on firm value, indicating that although their partial effects are different, all three factors have a collective contribution in shaping firm value. From the results of this study, it can be concluded that profitability is the main factor that plays a role in increasing firm value, while liquidity and leverage require further attention in a more specific context.