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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 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

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.

This study investigates the phenomenon of quasi-social movements that emerged during the August 25, 2025 protests in Indonesia. Quasi-social movements are defined as forms of public mobilization that appear to arise spontaneously, lack formal organizational structures, and are often leveraged for particular political agendas. Using a qualitative method supported by literature review, this research examines social movement theories, the functions of social media, and the socio-political dynamics that shaped the protests. The findings indicate that the protests were not purely the result of spontaneous civic engagement, but were instead driven by top-down mobilization orchestrated by elite actors through digital narratives, disinformation, and the broader influence of communication technology. This phenomenon signals a shift in the relationship between citizens and the state, including evolving patterns of political participation that do not always follow organized forms. The protests further illustrate how mass mobilization in the digital era can be generated through narrative construction and manipulation of public perception. In conclusion, quasi-social movements represent a new pattern of technology-mediated political expression, highlighting the need for more critical perspectives on modern forms of social mobilization.

This study investigates the determinants of dividend payout policy in energy sector firms listed on the Indonesia Stock Exchange during the 2020–2024 period. Dividend policy is a critical issue in emerging markets, especially in capital-intensive industries with high investment needs and earnings volatility. The research examines whether profitability and ownership structure—specifically institutional and managerial ownership—significantly influence dividend payout decisions, considering firm characteristics. The study analyzes the effect of profitability, institutional ownership, and managerial ownership on the dividend payout ratio, while controlling for firm size and leverage. A quantitative approach is used, employing pooled ordinary least squares (OLS) regression on 245 firm-year observations. Dividend payout ratio is measured as dividend per share divided by earnings per share, profitability is proxied by return on equity, and ownership variables are expressed as shareholding proportions. Descriptive analysis and classical assumption tests precede hypothesis testing. The results show that profitability positively and significantly affects dividend payout, suggesting that firms with better financial performance tend to distribute higher dividends. Firm size also positively influences dividend policy, while leverage negatively impacts it, reflecting the role of financial capacity and capital structure. However, institutional and managerial ownership do not show significant effects on dividend payout decisions. The findings indicate that dividend policy in Indonesian energy firms is primarily driven by financial performance and structural characteristics rather than ownership-based governance mechanisms. This study offers sector-specific evidence that refines agency and signaling perspectives on dividend policy in emerging markets, with practical implications for managers, investors, and regulators.

This study aims to analyze the role of financial factors in encouraging corporate tax aggressiveness using a literature review approach. Taxes are a major source of government revenue, making tax aggressiveness an important issue in accounting and taxation research. This study applies the Systematic Literature review (SLR) method by examining previous studies related to leverage, capital intensity, and profitability in influencing tax aggressiveness. Data were obtained from scientific articles indexed in academic databases such as Sinta 2 and Scopus published between 2020 and 2024. The results show that leverage in several studies has a positive effect on tax aggressiveness because interest expenses can reduce taxable income. Capital intensity shows mixed findings, including positive, negative, and insignificant effects on tax aggressiveness. Profitability also presents inconsistent results across studies. Overall, financial factors have varying roles in influencing corporate tax aggressiveness, and factors such as leverage, capital intensity, and profitability play a very important role in determining how much a company engages in tax avoidance practices.

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.

Stocks represent a capital market instrument with the potential to generate high returns. When making investment decisions, investors typically assess various internal aspects of a company, including its financial performance. The objective of this study is to examine the influence of profitability, liquidity, and leverage ratios on stock prices in the Indonesian banking sector, with a particular focus on state-owned banks, in both partial and simultaneous regression models. The methodology employed is quantitative analysis, with a secondary data set being utilized. The sample was determined using a purposive sampling technique, covering four state-owned banks (BRI, BNI, Mandiri, and BTN) for the 2010-2024 period. The findings of the analysis demonstrate that profitability and leverage exert a substantial negative influence on the stock prices of these banking institutions, while the liquidity ratio does not demonstrate a significant effect. Concurrently, all three variables exert an influence on stock prices, with an R-squared value of 58%.

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia and Malaysia constitute the core drivers of employment and economic growth, yet many remain constrained by limited competitiveness in international markets due to uneven digital adoption. This study addresses the problem of how international digital transformation can be effectively leveraged to enhance the performance and sustainability of Smart MSMEs, with the objective of identifying key digital strategies that support sustainable business development. Employing a mixed-methods approach, the research combines quantitative surveys of MSME actors with qualitative in-depth interviews of business owners who have implemented international digital initiatives, including cross-border e-commerce, global payment systems, and international digital marketing. The data are analyzed using descriptive and comparative techniques to examine enabling factors, challenges, and cross-country differences between Indonesia and Malaysia. The findings indicate that international digital transformation significantly improves market access, operational efficiency, and business resilience, while strategic integration of digital platforms and international networks strengthens long-term sustainability. The study concludes that developing Smart MSMEs through internationally oriented digital transformation is a critical pathway for achieving sustainable business development and enhancing regional and global competitiveness, and it offers strategic and policy-oriented recommendations for MSME stakeholders.

Mining companies are increasingly required to demonstrate environmental, social, and governance (ESG) accountability through sustainability reporting (SR). However, empirical evidence regarding the impact of SR on firm value in Indonesia’s mining sector remains inconsistent. This study aims to systematically examine the relationship between sustainability reporting and firm value using legitimacy theory as the conceptual framework. A Systematic Literature Review was conducted following the PRISMA 2020 protocol, employing narrative and thematic synthesis. Peer-reviewed articles published between 2018 and 2025 were retrieved from Google Scholar, Garuda Portal, and SINTA databases using relevant keywords. From 4,260 initial records, 11 studies met the inclusion criteria after screening, deduplication, and quality appraisal using an adapted CASP checklist. The findings reveal three dominant patterns: most studies report a positive effect of SR on firm value through improved transparency, corporate reputation, and investor confidence; several studies find no significant relationship due to short-term investor orientation; while a minority report negative effects associated with low disclosure quality and greenwashing concerns. Furthermore, the effectiveness of SR is influenced by disclosure quality, corporate governance, profitability, and leverage. This study implies that sustainability reporting can enhance firm value when disclosures are credible, consistent, and material, supporting legitimacy theory and encouraging alignment with the GRI 14: Mining Sector 2024 standard.

PT Telering Distrindo is a telecommunications distribution and retail company whose operations rely heavily on information systems. As the business expands and transaction volumes increase, higher demands for system security and reliability require a strategic evaluation of information technology (IT) implementation to ensure alignment with business objectives. This study aims to analyze the condition of the IT infrastructure at PT Telering Distrindo and to formulate development strategies using the Ward & Peppard framework. The research methods include literature review, system observation, IT architecture analysis, and interviews with internal stakeholders. The results show that the company has implemented core systems such as aPOSPlus, aBusinessPlus, and the PPOB TR Reload application, which play an important role in supporting business operations. However, several weaknesses remain in system security, integration, and IT risk management. The SWOT analysis identifies strengths in access control and authentication mechanisms, opportunities to leverage security as a competitive advantage, and threats from cyberattacks and high dependency on IT infrastructure. The study concludes that the Ward & Peppard framework provides a comprehensive strategic perspective and serves as a foundation for developing a more structured, secure, and sustainable IT strategy to support business growth.

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.

This study explores the integration of adaptive streaming models with edge computing to optimize multimedia delivery, particularly in real-time applications such as video conferencing, live streaming, and virtual reality. The proposed model leverages adaptive compression techniques, including scalable video coding (SVC) and hybrid adaptive compression (HAC), which adjust video quality based on real-time network conditions. The use of edge computing further enhances the model by processing and delivering content closer to the user, reducing latency and optimizing bandwidth usage. The research demonstrates that the edge computing-based adaptive streaming model significantly improves latency by up to 30%, reduces bandwidth consumption, and ensures higher visual quality during video playback, even under fluctuating network conditions. This model addresses key challenges in multimedia streaming, such as maintaining video quality in bandwidth-constrained environments and minimizing buffering times. Furthermore, it enhances the overall Quality of Experience (QoE) for users by providing smoother interactions and real-time responsiveness. The study highlights the potential impact of this model on various fields, including remote education, entertainment, and interactive applications, where low-latency content delivery and high-quality streaming are critical. The findings suggest that integrating AI algorithms for even more efficient compression and expanding edge computing infrastructures will further optimize multimedia streaming in the future, ensuring reliable and high-quality user experiences in increasingly connected environments.

This study investigates the role of Enterprise Information Systems (EIS) in driving innovation within organizations. The research employs a mixed-method approach, combining survey-based structural analysis and in-depth organizational case studies to explore how different EIS capabilities influence organizational innovation. The study focuses on four key EIS capabilities: functional capabilities such as workforce management and customer value creation; technological capabilities including ERP systems and real-time analytics; dynamic capabilities, especially organizational learning; and collaborative innovation through external partnerships. The survey results reveal that EIS capabilities, particularly data analytics and integration, significantly enhance organizational agility, decision-making, and innovation outcomes. In-depth case studies provide detailed insights into how these capabilities are applied in real-world organizational settings, illustrating their impact on process and service innovation. The findings indicate that the effective integration of EIS across organizational functions, along with improved access to data, contributes to operational efficiency and innovation success. However, challenges such as integration issues, resistance to change, and lack of skilled personnel were also identified as barriers to successful EIS adoption. The study contributes to the literature by offering a comprehensive understanding of how EIS capabilities drive innovation and highlighting the importance of organizational culture and leadership in the adoption process. The research provides practical recommendations for organizations to leverage EIS for fostering innovation, such as focusing on EIS integration, overcoming organizational barriers, and ensuring leadership engagement. Finally, the study suggests future research directions, including the refinement of multi-method approaches and the need for longitudinal studies to better understand the long-term impact of EIS on innovation outcomes.

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.

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

The increasing demand for infrastructure necessitates the construction of reliable bridges with long service lives to ensure smooth mobility. This research focuses on the Griya Lingga Permai Bridge over the Asam River in Jambi City, which is scheduled for widening as part of the Asam River Revitalization program aimed at flood mitigation. Although the project faces delays due to land acquisition constraints, this postponement is leveraged as a strategic opportunity to conduct a design review of the planned bridge superstructure.The bridge is designed using a reinforced concrete "T" beam girder structure. This study aims to perform a design review of the planned superstructure. This review includes the verification of calculations, structural dimensions, and a comparison of reinforcement calculation results, which are crucial for ensuring the future safety and reliability of the bridge against design loads. To support the validation and analysis process, the research utilizes STAAD.Pro software to obtain more accurate and detailed data regarding structural capacity. The results of this study will provide solid technical recommendations for the continuation of the construction project.