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This research has a purpose to determine the effect of online transaction security on purchasing decisions through the Shopee application. The respondents consisted of 74 students from the Digital Business Study Program at Universitas Amikom Purwokerto who actively use Shopee. This research employed a quantitative descriptive method with simple linear regression analysis. The results indicate that online transaction security has a positive and significant effect on purchasing decisions, with a regression coefficient of 0.887 and a significance value of 0.000. The coefficient of determination of 35.2% shows that transaction security contributes to purchasing decisions, while the remaining percentage is influenced by other factors. The higher the level of security perceived by consumers during online transactions, the greater the likelihood of making a purchase. These findings highlight the importance of improving security systems and information transparency on e-commerce platforms such as Shopee to create a safe, comfortable, and trustworthy shopping experience for users.

This study aims to analyze traders’ perceptions and behaviors toward the implementation of sharia principles in Islamic banking products and services. A descriptive qualitative approach was employed, involving traders at Parung Market selected through purposive sampling. Data were obtained through in depth interviews, observations, and documentation, then analyzed using thematic analysis through coding, categorization, and pattern identification. The findings reveal that most traders hold positive perceptions of core Islamic banking values such as fairness, transparency, and the prohibition of usury. However, their understanding of sharia contracts varies and is not fully comprehensive. Despite these positive perceptions, actual behavior does not always align, as traders often prefer conventional banks for business transactions requiring speed, efficiency, and more reliable digital services. This indicates a clear gap between religious intentions and economic practices, commonly referred to as the intention behavior gap. The study concludes that improving Islamic financial literacy, strengthening digital service innovation, and enhancing service quality are essential to promoting wider adoption of Islamic banking products.

This study aims to analyze the digitalization strategies implemented by Islamic banks to increase public interest in Sharia savings products. The research focuses on the use of digital technologies such as mobile banking, Islamic fintech, big data, and social media as key instruments to enhance service accessibility and strengthen customer trust. A qualitative descriptive method with a literature-based approach was employed by collecting and examining relevant academic sources. The data were analyzed using thematic analysis to identify patterns and relationships between digitalization and customer interest in Sharia savings. The findings indicate that digitalization enhances service accessibility, operational efficiency, and personalized user experiences. Mobile banking plays a dominant role in improving transaction convenience, while social media contributes significantly to customer education and product promotion. Furthermore, collaboration with Islamic fintech supports financial inclusion and encourages innovation aligned with Sharia principles. The results confirm that digitalization is a strategic driver for Islamic banks to remain competitive and relevant within the evolving financial industry landscape.

This study aims to analyze the relationship between the intensity of playing the online game Mobile Legends and the consumptive behavior of university students at Universitas PGRI Ronggolawe Tuban. The research was motivated by the growing phenomenon of digital consumption among students, particularly through virtual item purchases via microtransactions. A quantitative correlational approach was employed, using purposive sampling involving 40 active student players of Mobile Legends. Research instruments consisted of Likert-scale questionnaires measuring two main variables: gaming intensity (frequency and duration) and consumptive behavior (impulsive buying, wastefulness, and non-rational consumption). Data were analyzed using Spearman’s rho correlation test, revealing a positive and significant relationship between gaming intensity and consumptive behavior (r = 0.558; p < 0.05). These findings indicate that higher gaming intensity increases students’ tendency toward hedonic and symbolic digital consumption. The study highlights that students’ consumptive behavior in the digital era is shaped not only by economic factors but also by social influence, self-control, and emotional gratification. The research implies the need for enhanced digital financial literacy and self-regulation awareness among students to mitigate excessive consumptive behavior.

This study aims to evaluate the performance of KSP Satria B Cilongok using the Malcolm Baldrige Framework for Performance Excellence. The research employed a qualitative descriptive approach with data collected through direct observation and in-depth interviews with the cooperative’s leadership on May 4, 2025. Analysis was conducted based on seven categories within the Malcolm Baldrige Excellence Framework. Findings indicate that KSP Satria B Cilongok has implemented visionary leadership, customer-focused service, data-driven management, and effective risk and workforce management. The cooperative’s performance continues to improve, demonstrated by stable growth in members, net income (SHU), and transaction volume. Furthermore, adherence to organizational ethics and transparency has been a key factor in building member trust. This study contributes by integrating the Malcolm Baldrige principles into the management of small to medium-sized savings and loan cooperatives in Indonesia, presenting a novel application of the framework in the local context

MSMEs play a key role in the national economy, especially in increasing economic growth and creating new jobs. However, in the digital era, MSMEs face major problems, such as low levels of digital literacy, limited access to the internet, and fierce competition with large companies that have used technology before. This study examines the variables that influence the sustainability of MSMEs amidst digital challenges and finds methods that can be used so that MSMEs can survive and grow. The research method was carried out through surveys and direct interviews with MSME actors at Pasar Pagi Setia Budi, Medan, North Sumatra. The results of the study showed that most MSME actors did not utilize digital platforms for marketing and transactions, which resulted in decreased income. To increase competitiveness, MSMEs need to improve their digital knowledge, adopt online marketing strategies, and optimize the use of e-commerce and social media. Support from the government, financial institutions, and technology companies is also very important. In the increasingly competitive digital era, by implementing the right digitalization strategy, MSMEs can improve operational efficiency, expand market reach, and maintain the sustainability of their business.

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.