Publication Search

This study aims to analyze the integration of maqasid al-shariah within digital financial innovation in Islamic banking and to identify patterns in previous research through a Systematic Literature Review (SLR). The SLR method was employed to search, select, and synthesize relevant studies published between 2020 and 2025 using predefined inclusion and exclusion criteria, followed by thematic analysis. The findings were organized into five core themes: security and wealth protection, digital literacy, regulatory and shariah compliance, adoption of digital technologies, and the orientation toward justice and social benefit. The results indicate that the integration of maqasid al-shariah in digital innovation remains partial and has not been developed into an operational framework for the design or evaluation of digital banking services. Prior studies emphasize the importance of data security and regulatory readiness but have not formulated measurable maqasid-based indicators. This synthesis highlights the need for a more applicable maqasid-driven digital framework to strengthen governance, risk mitigation, and the strategic direction of digital innovation in Islamic banking.

This study aims to analyze the factors influencing members’ decisions to take murabahah financing at BMT Mentari Umat Wangon. The research employed a quantitative approach with descriptive and verification methods. The population consisted of active members using murabahah financing, selected through purposive sampling. Independent variables included service quality, knowledge of Islamic products, trust, location, promotion, profit margin, and financing procedures, while the dependent variable was the members’ financing decision. Data were analyzed using multiple linear regression after validity, reliability, and classical assumption tests. The results show that service quality, Islamic product knowledge, trust, profit margin, and financing procedures significantly affect members’ decisions, whereas location and promotion have no significant effect. The most dominant factors are service quality and institutional trust. These findings support the Theory of Planned Behavior (TPB), which emphasizes that attitudes, trust, and perceived control are key determinants of financial decision-making. The study implies that BMT should enhance service quality, strengthen financial literacy related to Islamic products, and develop digital-based service systems to improve efficiency and competitiveness.

This study aims to analyze the strategies used by Islamic banks to improve Islamic financial literacy in the digital era and to identify the challenges and opportunities that arise during their implementation. A mixed method approach with a concurrent triangulation design was applied, combining qualitative data collected through interviews and document analysis with quantitative data gathered from community perception surveys regarding Islamic financial literacy. Data analysis involved thematic content analysis for qualitative data and descriptive statistics for quantitative data, which were later integrated through triangulation to produce more comprehensive findings. The results indicate that Islamic banks implement strategies centered on the synergy between direct educational programs, collaboration with academic institutions and communities, and the utilization of digital technology through applications and social media platforms. The findings also reveal a significant literacy gap, particularly among younger generations and groups with limited digital access. Nevertheless, opportunities for literacy improvement continue to expand through internet penetration, digital innovation, and increasing public trust in the Islamic financial system. Overall, the study concludes that the success of Islamic financial literacy programs depends on the sustainable integration of educational and digital strategies.

This study aims to analyze the influence of profitability as proxied by Return on Equity (ROE), solvency as proxied by Debt to Equity Ratio (DER), and liquidity as proxied by Current Ratio (CR) on firm value as proxied by Price to Book Value (PBV) in the Indonesian food and beverage sector. The study focuses on the 2019-2023 period, a timeframe uniquely defined by the economic disruption of the COVID-19 pandemic and its initial recovery phase. The research method employed is a quantitative approach using multiple linear regression analysis. The sample consists of 10 companies listed on the Indonesia Stock Exchange (IDX), selected through a purposive sampling technique, resulting in 50 firm-year observations. The results indicate that both partially and simultaneously, the variables of profitability, solvency, and liquidity have a significant positive influence on firm value. This finding suggests that during a period of systemic crisis, the capital market places a valuation premium on companies that can demonstrate holistic and comprehensive signals of financial health. The novelty of this research lies in its contextualization of the dynamic role of financial ratios as crucial signals amidst an unprecedented economic shock. This study provides an empirical explanation for why investors prioritized stability and resilience, thereby reconciling conflicting findings in prior literature regarding the impact of liquidity on firm value.

This study aims to examine the role of implementing Environmental, Social, and Governance (ESG) principles in supporting the transition toward a green economy in Indonesia from the perspective of Islamic banking. The research employs a qualitative approach using a library research method, reviewing academic literature published between 2020 and 2025. Data were analyzed through thematic content analysis to identify the alignment between ESG dimensions and maqashid shariah, as well as the challenges and opportunities of ESG implementation within Islamic banking institutions. The findings reveal that ESG application in Islamic banking remains partial, with greater emphasis on the environmental dimension through instruments such as green sukuk and green financing. The social and governance aspects have not yet been fully integrated into sustainability strategies. Nevertheless, integrating ESG with maqashid shariah strengthens the role of Islamic banks as agents of change in sustainable development. The study highlights the importance of establishing specific regulations, transparent reporting systems, and sharia-compliant green financial innovations to enhance the contribution of Islamic banking to Indonesia’s green economy.

This study aims to analyze the product diversification strategy implemented by Pegadaian Purwokerto Branch and its impact on the company's financial stability. A qualitative descriptive approach was applied using a case study method through structured interviews, direct observations, and internal document analysis. The research also integrates the General Electric (GE) Matrix to map the business strength and market attractiveness of each diversified product. The findings reveal that Pegadaian’s diversified products—such as gold savings, vehicle financing, and Hajj/Umrah financing—have significantly contributed to expanding market reach and increasing revenue. This success is supported by comprehensive feasibility studies, structured risk management systems, and the operational role of branch-level human resources. Nevertheless, challenges remain, particularly in service digitalization and HR readiness. This research contributes both theoretically and practically to product development strategies in financial services, especially for state-owned enterprises seeking sustainable business growth through data-driven diversification.

Cloud-Based Accounting Systems (CBAS) are technological innovations that support digital transformation in financial management by increasing efficiency, transparency, and real-time data access. This system helps companies reduce manual recording errors, improve reporting accuracy, and accelerate data-based decision-making processes. In addition, CBAS also has advantages in terms of flexibility of use and compliance with accounting standards, making it a relevant solution for modern companies. Although CBAS offers many benefits, its implementation can also create a perception of technological superiority that does not fully reflect reality if it is not balanced with organizational and human resource readiness. Challenges often faced in implementing CBAS include dependence on cloud services, data security threats, and errors in system input or configuration that can lead to inaccurate financial reports. In addition, overly high expectations for automation can lead to neglect of manual supervision that is still needed to maintain the reliability of financial information. The success of CBAS implementation is highly dependent on a well-designed implementation strategy, adequate user training, and appropriate risk mitigation measures. With careful planning and a strategic approach, CBAS can serve as a tool that increases financial transparency and efficiency, not just a technology trend that provides no real benefits.

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.