This community service activity aimed to provide guidance and capacity building for micro, small, and medium enterprises (MSMEs), specifically chicken satay vendors operating in the parking area of Taman Anggrek Mall, Jakarta. These culinary MSMEs have strong potential due to their strategic location, which attracts high foot traffic. However, many of these business owners still face challenges in managing and developing their businesses, particularly in terms of managerial skills, financial record-keeping, and marketing strategies. Therefore, this program was designed to enhance their business competitiveness by improving their managerial abilities, introducing simple bookkeeping practices, and promoting the use of digital platforms for marketing. The implementation of the program began with an initial observation to identify the specific needs and challenges faced by the MSME actors. This was followed by interactive training sessions covering topics such as the importance of basic financial management, how to create simple financial reports, and effective yet low-cost digital marketing strategies. In addition to the training, the team also provided intensive one-on-one mentoring to ensure that participants could apply the materials in their daily business operations. The outcomes of the program showed positive developments. The MSME participants began to recognize the importance of keeping financial records as a basis for making business decisions. They were also able to identify internal management issues such as inventory control and business planning. In terms of marketing, most of the vendors have started using digital platforms like WhatsApp Business and Instagram to promote their products, allowing them to reach a wider audience.It is expected that this community engagement initiative will continue and serve as a model for similar training programs targeting culinary MSMEs in other busy urban areas. Such efforts are essential to developing more independent, professional, and competitive MSMEs in the digital era.

In the era of data-driven digital commerce, Artificial Intelligence (AI)-based product personalization has become a key strategy to enhance user experience and foster customer loyalty. However, in the Indonesian e-commerce landscape, there remains a lack of empirical understanding of how personalization systems influence long-term user engagement. This study investigates the impact of AI-driven product personalization on customer loyalty among Indonesian e-commerce users. Employing a mixed-methods approach, quantitative data were collected through an online survey of 150 active users, and qualitative insights were obtained from in-depth interviews with six informants. Statistical analysis using simple linear regression revealed that personalization significantly influences customer loyalty, with a beta coefficient of 0.653 (t = 8.241, p < 0.001) and an R² value of 0.567. Qualitative findings highlight user concerns over recommendation accuracy, interface overload, and repetitive suggestions, which affect emotional satisfaction and platform attachment. This research contributes to the growing body of knowledge on AI adoption in e-commerce by integrating behavioral and technological dimensions of loyalty formation. It also offers practical implications for designing more context-sensitive personalization systems that prioritize not only algorithmic precision but also user control and experience quality.

In the digital economy era, financial transparency has become a critical aspect for the sustainability and credibility of Micro, Small, and Medium Enterprises (MSMEs). Despite their substantial contribution to employment and economic growth, many MSMEs in Indonesia still rely on manual accounting systems, which limit the accuracy and traceability of financial reporting. This study aims to empirically examine the effect of cloud-based accounting automation on financial transparency among Indonesian MSMEs. Using a mixed-methods approach, the research collected quantitative data from 120 MSME respondents in Jakarta and West Java through structured questionnaires and qualitative data from six key informants through semi-structured interviews. The quantitative data were analyzed using simple linear regression, resulting in a coefficient of determination (R²) of 0.513 and a beta coefficient of 0.598 (p = 0.000), indicating a strong and significant influence of accounting automation on financial transparency. Qualitative findings also revealed improvements in real-time access, reporting accuracy, and transaction traceability. The study confirms that cloud-based digital accounting systems enhance financial transparency by enabling automated integration, audit trails, and timely reporting. These findings contribute to the literature on digital transformation in MSMEs and offer practical implications for policymakers, financial institutions, and software providers to accelerate technology adoption and improve financial governance in the MSME sector.

Savings and loan cooperatives play an important role in strengthening the community's economy, especially in the micro and small sectors. However, many cooperatives face various challenges related to proper financial management and recording. Limited human resources and lack of understanding of relevant accounting standards are the main obstacles. This community service aims to increase understanding and application of SAK ETAP (Financial Accounting Standards for Entities Without Public Accountability) in the Koperasi Simpan Pinjam (KSP) Inti Dana Semarang.  The methods used include training, mentoring, and evaluation of the implementation of  SAK ETAP. The results of this program show an improvement in the quality of financial reports and transparency in cooperative management. This initiative has a positive impact on member trust and the sustainability of cooperative businesses

This study aims to analyze the influence of profitability, asset growth, and company size on the capital structure of companies listed on the Indonesia Stock Exchange. Capital structure is a crucial element in financial management that affects funding decisions and company risks. The analysis method used was multiple regression, with a sample during the period 2014-2018. The results showed that profitability had a significant negative effect on capital structure, indicating that high-profit companies tended to use less debt. Asset growth, on the other hand, has a significant positive effect on capital structure, suggesting that fast-growing companies are more likely to capitalize on debt. Meanwhile, the size of the company does not show a significant influence on the capital structure. These findings provide important insights for managers in formulating effective and efficient funding strategies, and emphasize the need to consider internal and external factors in decision-making related to capital structure.

The financial sector has experienced significant transformation with the adoption of Artificial Intelligence (AI) technology, particularly in improving business decision-making. This study aims to analyze the impact of AI on decision-making quality, focusing on risk analysis and portfolio management in Indonesia's financial sector. A mixed-method approach was utilized, combining quantitative and qualitative data to provide a comprehensive view of AI’s role in financial decision-making processes. Quantitative data were gathered through surveys of 50 respondents from various financial institutions, while qualitative data were obtained from semi-structured interviews with industry executives. The findings indicate that AI significantly enhances risk analysis accuracy by 25%, optimizes portfolio management, accelerates decision-making processes, and improves operational efficiency by automating manual tasks and reducing human errors. Despite these benefits, the study also identifies challenges such as data quality issues and high implementation costs, which hinder the broader adoption of AI in the financial sector. The study concludes that AI offers substantial potential to improve decision-making in the financial industry, but addressing data infrastructure and training needs is critical for achieving optimal outcomes

Cost stickiness refers to an increase in costs when activities increase more than a decrease in costs in response to a decline in activities of the same magnitude. In this respect, managers play a crucial role in resource adjustment decisions, and various factors affect these decisions, including managerial optimism. In turn, managerial optimism is affected by economic conditions and economic crises, including the latest one affected by the Covid-19 pandemic. This will greatly reduce managerial optimism and motivate them to reduce greater resources when sales decline, even greater than the sales decline. Accordingly, this study tests the relationships between The Covid-19 pandemic, cost stickiness, and profitability of Indonesian listed firms in 2018-2020. We find that (1) firms reduce SG&A costs more to respond to sales decline during The Covid-19 pandemic, and (2) firms experiencing sales decline during The Covid-19 pandemic even exhibit better financial performance. Thus, this study indicates that higher profits are not always affected by increased income but also probably by cost decline that is greater than sales decline.