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Digital technology advancements have greatly changed how small businesses manage their finances. This change is not only about recording transactions, but it also affects financial control, report preparation, and business decision making. Accounting Information System (SIA) came about as a solution to help small and medium businesses easily, organize, and accurately record their finances, as well as provide reliable financial information. This study aims to explain the role of the Accounting Information System in making it easier to manage the finances of small and medium businesses in the digital age, the benefits gained from using it, and the challenges faced during its implementation. The method used in this research is a literature review, which involves examining books, journals, and other related scientific publications, followed by analysis using a descriptive qualitative approach. Research findings show that using a digital-based Accounting Information System can improve business efficiency, speed up financial reporting, increase transparency, and make it easier for small and medium-sized businesses to get funding access. However, the implementation of the Accounting Information System still faces challenges such as a lack of technological understanding, limited infrastructure, and high implementation costs. Therefore, collaboration and support from various parties are needed to ensure the accounting information system is implemented effectively and sustainably in small and medium businesses.

This study aims to analyze the contribution of state and regional taxes to state revenue and regional fiscal independence in Indonesia. Taxes are the primary source of revenue used to finance governance and national and regional development. The study employed a qualitative descriptive method with a literature review approach and secondary data analysis derived from the State Budget (APBN) report, the Central Statistics Agency (BPS), and various scientific articles indexed by Sinta. The data were analyzed to identify the contribution of taxes to state revenue and the role of regional taxes in increasing Regional Original Income (PAD). The results show that tax revenue remains the largest source of state revenue, with dominant contributions coming from Income Tax (PPh) and Value Added Tax (PPN). Furthermore, regional taxes play a crucial role in enhancing regional fiscal capacity and supporting the implementation of regional autonomy. The effectiveness of tax management is influenced by the level of taxpayer compliance, the digitalization of tax administration, and the quality of government oversight. This study implies that optimizing the tax system through digital transformation and increasing public awareness can sustainably strengthen state and regional revenue.

This study contributes to the advancement of Islamic social finance discourse by developing a conceptual framework for a digitally integrated zakat governance model within the agricultural sector. The study addresses a critical gap between productive zakat practices and the emerging landscape of digital agricultural transformation. While previous research has largely focused on the redistributive function of zakat as a mechanism for poverty alleviation, limited scholarly attention has been directed toward its potential transformation into a technology-enabled and productivity-oriented instrument that supports sustainable development objectives. Employing a qualitative research approach through content analysis, this study synthesizes interdisciplinary perspectives from Islamic economics, zakat governance, agricultural technology innovation, and digital sustainability studies. The study proposes a Digital Farming Zakat Platform framework consisting of five interconnected dimensions: geospatial-based beneficiary identification, smart farming empowerment, sharia-compliant financial mechanisms, agricultural market integration, and data-driven monitoring systems.

Regional autonomy provides opportunities and challenges for local governments to manage and explore sources of Local Own-Source Revenue (PAD). Grobogan Regency still faces fiscal challenges because its dependence on transfer funds remains significant, while the capacity of its own revenue needs to be increased. This study aims to map the potential and performance of local taxes in Grobogan Regency in the context of fiscal decentralization and efforts to strengthen regional financial independence. The research uses a quantitative descriptive approach based on secondary data for the 2019–2024 period obtained from the Ministry of Finance. The analysis focuses on tax effectiveness, contribution, growth, and revenue projection. The results show that local tax performance is strong, with an average effectiveness rate of 119.99%. The Specific Goods and Services Tax is the largest contributor, reaching 44%, followed by PBB-P2 and BPHTB. The average growth of local tax revenue is 15.68%, although growth varies considerably across tax types, particularly the Non-Metal and Rock Mineral Tax, which reaches 786.63%. Revenue projections indicate an increase to IDR 277.20 billion by 2029. These findings highlight strong fiscal potential in Grobogan Regency but underline the need for tax diversification, digitalized administration, and taxpayer compliance to support sustainable fiscal growth.

The rapid expansion of digital finance services, particularly Buy Now Pay Later (BNPL) platforms such as Shopee PayLater, has significantly altered consumption patterns among university students. The aim of this study is to examine the effect of Shopee PayLater usage and lifestyle on consumptive behavior, as to test the moderating role of financial literacy among Accounting Education students at Universitas Negeri Semarang (class of 2022). A quantitative explanatory approach was employed, with data collected via Likert-scale questionnaires distributed to 63 respondents selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. Results show that Shopee PayLater usage positively and significantly affects consumptive behavior (path coefficient = 0.440, p = 0.000), as does lifestyle (path coefficient = 0.408, p = 0.003). Financial literacy, however, does not directly influence consumptive behavior (p = 0.676). Notably, financial literacy significantly strengthens—rather than weakens—the effect of lifestyle on consumptive behavior (interaction coefficient = 0.253, p = 0.019), while it does not moderate the relationship between Shopee PayLater usage and consumptive behavior (p = 0.712). These findings contribute theoretically by extending the Theory of Planned Behavior, demonstrating that BNPL accessibility and lifestyle orientation are stronger predictors of consumptive behavior than financial knowledge alone. Practically, this study suggests that financial literacy interventions must be accompanied by self-regulation strengthening and consumer protection policies to effectively curb excessive consumption driven by digital credit services.

The development of digital governance has accelerated the transformation of public financial management through e-budgeting, e-reporting, and integrated digital financial systems. However, studies discussing digital public financial management in cross-border areas remain fragmented and dispersed across disciplines. This study aims to systematically map the development of research on digital public financial management in cross-border contexts through publication trends, influential journals, active researchers, keyword patterns, countries, institutions, and research areas. This research employed a qualitative approach using a Systematic Literature Review (SLR) and bibliometric analysis based on 48 Scopus-indexed articles published between 2020 and 2026. The findings indicate that publications increased significantly after 2023, reflecting growing scholarly interest in cross-border digital finance and governance. The literature is dominated by economics and finance perspectives, while public financial governance and fiscal accountability in border areas remain underexplored. In addition, knowledge production is still concentrated in a limited number of countries and institutions, particularly in Europe. This study contributes by providing an intellectual mapping of the field and identifying opportunities for future research integrating digital governance, public financial management, and border studies.

The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

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.

This study aims to evaluate how petty cash management practices contribute to improving operational efficiency at PT Anugerah Langgeng Berkat Abadi. This research focuses on examining the implementation of the petty cash management system, applied procedures, and its impact on the smooth execution of daily operational activities. The study employs a descriptive qualitative approach, with data collected through interviews, direct observation, and documentation during the internship period. The collected data were analyzed systematically to describe the actual condition of petty cash management within the company. The results indicate that PT Anugerah Langgeng Berkat Abadi implements a fluctuating fund system in managing petty cash. Expenditures are initially recorded manually and then re-entered into the company’s internal digital system to maintain control and accountability. Petty cash is used to finance routine and urgent operational needs, such as office stationery, transportation costs, and other short-term expenditures. The company has established standard operating procedures governing the use, recording, and accountability of petty cash. Several challenges were identified, including delays in the disbursement and reimbursement process, which may affect time efficiency. However, overall, the petty cash management system is considered effective in supporting short-term operational needs without disrupting the stability of the company’s main cash. This study concludes that systematic and well-controlled petty cash management plays an important role in the company’s cost efficiency strategy and supports daily operational activities. These findings align with strategic management principles, where appropriate financial decision-making contributes to the achievement of long-term organizational objectives.

This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

Tax administrations are undergoing a fundamental transition from conventional audit practices based on manual inspection and limited sampling toward data-driven supervision supported by big data analytics, artificial intelligence, and digital transaction infrastructures. However, developing economies, particularly in Southeast Asia, continue to face structural constraints such as fragmented legacy systems, informal economic activities, uneven digital literacy, corruption risks, weak data interoperability, and evolving privacy regulations. This study aims to develop a contextual framework for detecting potential tax-reporting fraud by integrating big data tax analytics, localized machine learning, explainable artificial intelligence, blockchain-enabled value-added tax data integrity, and socio-organizational governance. The study adopts a mixed-method sequential explanatory approach combined with Design Science Research. The methodological design integrates policy and institutional analysis, machine learning model design, and socio-organizational validation using secondary literature, Southeast Asian case studies, regulatory review, and simulated data architecture. The main contribution of this study is the Contextual Tax Analytics with AI and Blockchain Framework, or C-TAX-AIB Framework, consisting of three interrelated layers: Data Layer, Analytics Layer, and Governance and Human Layer. The Data Layer proposes a hybrid blockchain architecture for e-Faktur and value-added tax reporting integrity; the Analytics Layer introduces localized machine learning and explainable AI to support transparent risk scoring and anomaly detection; and the Governance and Human Layer embeds privacy protection, taxpayer digital literacy, auditor readiness, and trust-building mechanisms. The framework advances prior studies by moving beyond algorithmic fraud detection toward an integrated governance model suitable for developing economies. The study provides theoretical implications for public finance analytics and practical guidance for ASEAN tax administrations in designing accountable, explainable, and context-sensitive digital tax systems.

 Cryptocurrency price prediction, particularly for highly volatile assets like Solana (SOL), is a crucial challenge in time series data analysis in digital finance. This study aims to compare the performance of the XGBoost machine learning algorithm with the Temporal Fusion Transformer (TFT) deep learning model in predicting Solana's daily closing price. The dataset used consists of historical Solana price data and network fundamentals data in the form of Total Value Locked (TVL). The research process includes data preprocessing, dividing training and test data, model training, and evaluation using the Root Mean Squared Error (RMSE) metric. The results show that using the same-day price feature has the potential to cause target leakage, resulting in invalid prediction accuracy. In testing using pure historical data without data leakage, the XGBoost model performed better than TFT with an RMSE of 4.27, while TFT produced an RMSE of 18.59. Furthermore, the integration of network fundamentals data in the form of TVL did not improve prediction accuracy and even caused a decrease in performance for the XGBoost model with an RMSE of 7.10. The results of this study show that the use of historical price action features is more effective than fundamental network indicators for short-term daily Solana price predictions.

This study describes Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The purpose of this study is to explain Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The research method is qualitative. Data analysis was conducted using thematic analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. This research finds that the government's role from an Islamic public and social finance perspective is not only as a regulator but also as an active supervisor, ensuring that economic activities are run in accordance with Sharia principles. Supervisory mechanisms are implemented through the institution of hisbah (Islamic tax), Sharia-based regulations, and a system of public financial accountability and transparency. Furthermore, Islamic social finance instruments such as zakat (alms), infaq (donations), sedekah (charity), and waqf (endowments) have been proven to play a role in equitable wealth distribution and reducing social inequality. This supervisory concept remains relevant in the modern economic context, including the digital sector and Sharia finance. The implications of this research suggest that the government needs to strengthen the implementation of Islamic-based supervision in the modern economic system by strengthening Sharia financial institutions, optimizing the management of Islamic social funds, and enhancing transparent and accountable regulations. Furthermore, adaptation of Islamic supervisory mechanisms is necessary to address the development of the digital economy. This research also implies the importance of increasing Sharia economic literacy among the public to support the creation of a more sustainable and equitable economic system.

Background:Micro, small, and medium enterprises (MSMEs) in Indonesia, particularly in the food processing sector, frequently encounter challenges such as limited production capacity, conventional marketing practices, weak brand identity, and inadequate financial documentation, which hinder sustainable business growth. This community service activity aimed to provide comprehensive assistance to Rona Surya, a traditional snack MSME located in Wagir, Malang Regency, through the formulation of production standard operating procedures (SOPs), digital marketing capacity building, brand identity renewal, human resource development, and simple financial recording training. The activity applied a participatory action approach involving direct observation, structured problem identification, systematic mentoring programs, and reflective evaluation over a 16-week period from January to May 2026. The program resulted in the development of a production SOP, active Instagram and TikTok accounts containing at least five promotional content items, a renewed brand logo, a business banner, a simple organizational structure, a vision and mission document, and a basic cash book. In addition, the business owner demonstrated measurable improvements in digital marketing capabilities, brand awareness management, and understanding the importance of separating personal and business finances.

This study presents a systematic qualitative literature review examining regulatory, ethical, and organizational challenges in the adoption of artificial intelligence (AI) for letter of credit (LC) automation in trade finance. Synthesizing prior interdisciplinary research, the review finds that AI technologies—such as machine learning and natural language processing—offer substantial efficiency, accuracy, and transparency gains in documentary credit examination. However, these benefits are constrained by regulatory uncertainty stemming from legacy legal frameworks, ethical concerns related to algorithmic opacity, bias, and accountability, and organizational challenges involving trust, governance, and workforce readiness. The findings highlight that AI-driven LC automation constitutes a socio-technical transformation rather than a purely technological upgrade, requiring alignment between evolving regulation, responsible AI governance, and organizational change management. This study contributes to the trade finance and digital transformation literature by providing an integrated perspective on how transparency can be institutionalized without undermining trust in automated financial decision-making

Children in Tambak Osowilangun Village have high access to digital technology, but their digital financial literacy remains very low. Technology is generally used only for entertainment and social media without an understanding of its economic value. This condition is exacerbated by limited supervision from parents, the majority of whom work in the industrial sector, leaving children vulnerable to uncontrolled consumer behavior online. This community service activity aims to equip children in Tambak Osowilangun Village with a basic understanding of modern economics. The main focus is to improve their ability to manage their finances wisely, introduce the concept of digital savings, and develop critical thinking skills so they can distinguish between needs and wants in the technology era. The program uses the Participatory Action Research (PAR) method, which involves the active participation of children through a spiral of stages: planning, action, observation, and reflection. Data was collected through participant observation to monitor the learning dynamics of participants during the educational sessions. The implementation of the activity showed a significant increase in participants' financial understanding. Children became more aware of the risks of digital fraud and began to understand how financial applications work. Through interactive discussion sessions, high enthusiasm was generated, shifting the children's mindset from mere entertainment users to financially savvy technology users. The synergy between students and the community has succeeded in fostering a disciplined and responsible economic character in the young generation in the village.

This study aims to analyze the effect of Digital Accounting Systems on Financial Decision Quality through Accounting Information Quality in modern companies. This research employed a quantitative explanatory approach using a survey design. Primary data were collected from 100 employees working in finance, accounting, and financial administration departments through purposive sampling and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS. The findings reveal that Digital Accounting Systems have a positive and significant effect on Accounting Information Quality, Accounting Information Quality has a positive and significant effect on Financial Decision Quality, and Digital Accounting Systems also directly improve Financial Decision Quality. The mediation test confirms that Accounting Information Quality partially mediates the relationship between Digital Accounting Systems and Financial Decision Quality. These results imply that companies should not only adopt digital accounting technology but also strengthen system integration, data validation, transaction standardization, and user competence to ensure that digital accounting systems produce accurate, timely, relevant, and useful information for effective financial decision-making.  

Financial literacy is an essential aspect in supporting community financial management, particularly in rural and indigenous communities such as Kanekes Village (Baduy). Although the community has begun to access financial services and digital technology, their ability to manage finances remains limited. Therefore, this community service activity aims to identify the level of financial literacy and to encourage public awareness of better financial management. The method used is a descriptive qualitative approach through in-depth interviews and field observations. The results show that the community, especially in Baduy Luar, has utilized social media such as TikTok Live and Instagram for product marketing and has adopted digital payment systems such as QRIS through Bank BRI, although cash transactions still dominate. The main sources of income come from micro-enterprises based on local potential, including handicrafts, traditional clothing, accessories, and food products. However, the community generally lacks financial recording practices and structured financial planning, causing income to be directly spent on daily needs. The activity also indicates the emergence of initial awareness regarding financial management and highlights the role of youth as local leaders in adopting digital technology. Therefore, strengthening financial literacy is crucial to improving financial behavior and supporting sustainable economic transformation within the community.

Financial losses at several State-Owned Enterprises (SOEs) in Indonesia indicate significant problems in the operational management and governance of state assets. This situation not only impacts SOE business performance but also directly impacts state financial management, including transparency, accountability, and efficient budget utilization. This study aims to analyze the underlying causes of financial losses at SOEs and evaluate their impact on public financial governance in Indonesia. The method used is a literature review examining regulations, SOE financial reports, previous research, government oversight reports, and relevant academic studies. The results indicate that SOE losses generally occur due to weak internal management, decision-making that is not based on data, inefficient costs, poor governance, and inadequate government oversight. The impact on public financial governance can be seen in the increasing burden on state finances and declining public trust in the management of state assets. This study recommends strengthening the implementation of Good Corporate Governance (GCG), increasing transparency and accountability in reporting, utilizing digital technology for oversight, and comprehensive evaluation of the performance of directors and commissioners to support improvements in SOE governance and public finances.

Along with the rapid growth of digital media, various forms of digital transactions have also developed.1 This development has driven changes in the payment system in Indonesia, one of which is through the implementation of QRIS (Quick Response Code Indonesian Standard). Despite its increasingly widespread use, there are still few studies that systematically examine user perceptions and the effectiveness of QRIS in improving transaction efficiency and strengthening the digital financial system. The purpose of this study is to identify and comprehensively analyze the results of previous studies related to QRIS use through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar and Garuda using the keywords "QRIS use", "QRIS payment system", and "QRIS transaction tool". The results show that QRIS can improve the efficiency and convenience of digital transactions, both for consumers and businesses, and facilitate the integration of financial services in a single platform. This study also aims to analyze the use of QRIS in public services. Using a descriptive qualitative research method, research data was taken from the results of searches of reliable sources including official websites, academic literature, theses, and national scientific journals relevant to the research topic. Thus, this may indicate that the success of QRIS is influenced by effective socialization, public awareness of transaction security, and equitable access to technology. The implications of this research provide a useful literature map for policy development and further studies in the field of digital finance.