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This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

This study aims to analyze the role of online sales in maintaining the financial stability of Micro, Small, and Medium Enterprises (MSMEs) in West Sumatra, Indonesia. The increasing adoption of digital channels, such as marketplaces, social media, messaging applications, live selling, and digital payment systems, has transformed online sales into not only marketing tools but also mechanisms that may affect cash flow continuity and business sustainability. Despite their growing importance, empirical evidence regarding the contribution of online sales to MSME financial stability remains limited. This study employs a quantitative explanatory research design. The population consists of MSME owners in West Sumatra who utilize online sales, while purposive sampling was used to select respondents who had engaged in online selling for at least one year and maintained cash flow records. Data were collected from 102 respondents through a structured questionnaire using a five-point Likert scale and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings reveal that online sales have a positive and significant effect on financial stability, with a path coefficient of 0.632, a t-value of 9.214, and a p-value below 0.001. These results indicate that effective use of online sales enhances cash flow continuity, income regularity, working capital adequacy, and financial resilience. However, the benefits depend on disciplined management of digital costs, discounts, platform fees, shipping expenses, product returns, and cash flow records. This study contributes to MSME digitalization literature by highlighting online sales as a strategic instrument for strengthening financial stability rather than merely a marketing channel.

Amid intense market competition, the profitability of manufacturing companies is not solely determined by sales volume but is highly dependent on the precision of financial management, particularly in managing the working capital cycle and operating cash flow circulation. This study aims to evaluate the relationship between Working Capital Turnover (X1) and Operating Cash Flow (X2) on Profitability (Y) in consumer goods industry companies listed on the Indonesia Stock Exchange during the 2022–2024 period. Using a quantitative approach and multiple linear regression analysis, this study processes 77 observations that have passed purposive sampling and outlier testing. The partial test results reveal contrasting findings: Working Capital Turnover (X1) does not have a significant effect on profitability, while Operating Cash Flow (X2) is proven to be a strong positive determinant. However, simultaneously, both variables have a significant influence on the financial performance of companies (Fhitung 24,008 > Ftabel 3,08), with operating cash flow acting as the dominant driving factor of profit. The implications of these findings emphasize that to maintain profit stability, management should prioritize the availability of cash generated from core operations, while investors should be more attentive to cash flow trends as an indicator of fundamental financial health before making investment decisions.

This research analyzed the influence of liquidity, leverage, profitability, sales growth, and firm size on cash holdings. The research is quantitative, using secondary data from annual financial reports of primary consumer industries listed on the Indonesia Stock Exchange from 2022 to 2024. Liquidity is measured by the Current Ratio, which is calculated as current assets divided by current liabilities. Leverage, proxied by the Debt-to-Equity Ratio, is measured by total liabilities divided by total equity. Profitability, proxied by Net Profit Margin, is calculated using the formula operating profit divided by sales. Sales Growth is measured as the current total sales minus the previous total sales, divided by the previous total sales, expressed as a %. Firm Size is proxied by the natural logarithm of total assets. Meanwhile, Cash Holding is measured by cash and cash equivalents divided by total assets. This research was conducted using a sample of 174 data points from 58 companies; outliers were removed, resulting in 159 data points from 53 companies. The sampling was done using purposive sampling. The research results indicate that liquidity has a positive effect on cash holding. Leverage has a negative effect on cash holding. Profitability has a positive effect on cash holding. Sales growth has a positive effect on cash holdings. Firm size has a positive effect on cash holding.

The use of digital technology in MSMEs is still uneven, especially in small businesses that still rely on manual recording such as at Toko Ibu Siti, so that the transaction process becomes slow and there is a risk of errors. This activity aims to implement an on-premise-based cashier system that is in accordance with business conditions and helps improve user understanding in operating it. The method used is qualitative descriptive with a participatory approach through observation, interviews, and questionnaires. The results of the activity show that there are quite clear changes, where the transaction process becomes faster, recording is neater, and the stock of goods is easier to monitor. In addition, users can run the system independently after training, with a response that tends to be positive. The implementation of this system also encourages technology adaptation in the business environment, improves the accuracy of sales data, and enables business owners to make more effective information-based decisions. Overall, the implementation of this system is able to help improve work efficiency, reduce human error, and encourage the use of technology in small-scale businesses so as to support the sustainable growth of MSMEs.

Tax is a major source of government revenue; however, tax avoidance remains a significant issue, particularly in the property and real estate sector, which is characterized by high growth and complex financial structures. This study examines the effects of leverage, profitability, and sales growth on tax avoidance, with firm size as a moderating variable. The study employs a quantitative approach, using secondary data from the annual financial statements of property and real estate companies listed on the Indonesia Stock Exchange for the 2020–2024 period. The sample was selected using purposive sampling, and the data were analyzed using panel data regression techniques. Tax avoidance is proxied by the Cash Effective Tax Rate, leverage is measured by the Debt-to-Equity Ratio, profitability is measured by Return on Assets, sales growth is calculated as the annual change in sales, and firm size is measured using the natural logarithm of total assets. The results indicate that leverage and profitability significantly affect tax avoidance, whereas sales growth does not. Firm size is found to moderate the relationship between leverage and tax avoidance as well as between profitability and tax avoidance, but it does not moderate the relationship between sales growth and tax avoidance. The novelty of this study lies in the inclusion of sales growth as an independent variable and the positioning of firm size as a moderating variable within the property and real estate sector during the post-pandemic period. These findings provide practical implications for corporate tax management strategies and offer insights for regulators in strengthening tax supervision based on firm characteristics.

This community service program aimed to implement the ESB Point of Sales (POS) application as a tool for financial digitalization at The Houseplants Coffee, an MSME located on Bengawan Street No. 16, Bandung City. The main problems faced by the partner included manual transaction recording, limited sales information, and weak control over inventory and cash flow. A Participatory Action Research approach was applied by involving the owner and staff in all stages of the program, including problem identification, planning, implementation, mentoring, and evaluation. The results indicate improved transaction recording accuracy, better inventory monitoring, and the availability of digital-based sales reports. The mentoring process also led to changes in work behavior, the establishment of new technology-based practices, and the emergence of a local leader supporting system sustainability. These findings demonstrate that integrating POS technology with a participatory approach effectively promotes sustainable digital transformation in MSMEs.

This study was conducted to examine the level of implementation of Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM) at Kedai Nduy, a micro-scale culinary business located in Depok. The basis for conducting this research is the low quality of financial records among UMKM players due to a lack of understanding of accounting, limited assistance from competent parties, and the suboptimal implementation of financial reporting standards, which are the main obstacles. This research was conducted using a descriptive qualitative method, where data was collected through interviews, direct observation, and document searches related to transaction recording activities, sales, raw material purchases, and daily cash flow. The results of the study show that Kedai Nduy has consistently recorded transactions using a simple financial recording format using Excel tables, but the implementation does not fully comply with SAK EMKM provisions. This business entity has also not prepared the required financial statements, namely the Statement of Financial Position, Income Statement, and Notes to the Financial Statements. The main obstacles faced are limited understanding of accounting, lack of time available to business owners, and the unavailability of technical assistance and accounting training. Nevertheless, simple record keeping still provides benefits, particularly in monitoring sales, purchasing, and daily cash flow activities. Therefore, this study recommends accounting training, the use of SAK EMKM-based applications or templates, and ongoing assistance to improve the quality of financial recording and reporting in accordance with applicable standards.

This community service program aims to strengthen the managerial capacity of red lemongrass farmers in AMKE Oro-Oro Ombo, Batu, East Java, through training on cash bookkeeping, income analysis, and farming feasibility evaluation. The main problems faced by farmers are limited knowledge of financial management, lack of systematic bookkeeping, and inability to evaluate the profitability of their businesses, which often results in inaccurate decision-making and low competitiveness. The method applied included participatory training, mentoring, and simulation of financial records and feasibility analysis. The results of the program demonstrate that participants gained a better understanding of the importance of structured financial recording. Farmers who previously relied only on sales revenue calculations without considering fixed and variable costs are now able to prepare cash books, identify expenses, and evaluate profit margins accurately. Cash bookkeeping has proven to improve financial transparency and accountability, while income analysis has equipped farmers with the skills to assess their business sustainability. The feasibility evaluation, using indicators such as R/C and B/C ratios, showed that red lemongrass farming is profitable but still requires efficiency improvements to increase long-term sustainability. Overall, this training has enhanced farmers’ managerial skills, encouraged independent decision-making, and strengthened their capacity to face price fluctuations and market competition. The program is expected to support the continuity and competitiveness of red lemongrass agribusiness in AMKE Oro-Oro Ombo

This study analyzes and designs a dual-role web-based ordering information system to optimize order management at Sunrise Bakery. This SME currently faces inefficiencies due to manual recording. The system, developed using the SDLC Waterfall method with PHP and MySQL, serves two main actors: customers, who can order online, browse catalogs, track orders, and pay digitally; and administrators (admin, cashier, owner), who manage products, update stock, input in-store orders, generate daily/monthly sales reports, and manage user access. Black Box Testing confirms all core functions work correctly. The system successfully addresses manual process shortcomings by improving data accuracy and providing real-time monitoring for both customers and management. It offers a comprehensive digital solution to enhance operational efficiency and service quality. Limitations include the lack of integrated digital payment gateways and external messaging. Future development should incorporate payment gateways (e.g., OVO, GoPay), WhatsApp notifications, a mobile application, and predictive analytics for sales and stock forecasting.

This study aims to analyze the preparation and role of a comprehensive budget in supporting the financial feasibility and business sustainability of the character coffee. The method used is budgetary analysis, which includes sales budgets, production budgets, raw material budgets, labor budgets, factory overhead costs, cash budgets, budgeted income statements, and Break Even Point (BEP) analysis. The results show that systematic budget planning helps business owners plan, control, and evaluate operational activities effectively. Sales projections indicate considerable market potential, with target consumers consisting of students, office workers, and the general public, enabling the business to generate sufficient revenue to cover operational costs and earn profits. Cash flow projections are also positive, reflecting the company’s ability to maintain liquidity. BEP analysis shows that the break-even point can be achieved at a realistic sales volume, indicating a relatively low risk of loss. Nevertheless, the business faces risks such as intense competition, fluctuations in raw material prices, and changes in consumer preferences. Therefore, regular budget evaluations, continuous product and service innovation, and disciplined financial management are essential. Overall, the findings indicate that character coffee is financially feasible and has promising prospects for sustainable growth if managed professionally.

This study aims to classify customer payment methods at 17 Coffee & Eatery using machine learning algorithms, namely Naïve Bayes and Support Vector Machine (SVM). The increasing use of digital and non-cash payments has generated large volumes of transaction data that are rarely analyzed optimally, even though such data contain valuable information for business decision making. This research used secondary transaction data collected from January to March 2025, consisting of 10,147 transaction records. The dataset included several attributes such as order time, payment time, transaction type, total sales, number of items, and payment method. Data preprocessing was performed through data cleaning, feature engineering, normalization, and label encoding before being divided into training and testing sets with an 80:20 ratio. The Naïve Bayes and SVM models were then trained and evaluated using accuracy, precision, recall, F1-score, and ROC–AUC metrics. The results show that both algorithms were able to classify payment methods effectively, but SVM achieved higher accuracy and more stable performance than Naïve Bayes. These findings indicate that SVM is more suitable for handling complex and heterogeneous transaction patterns. The implementation of machine learning for transaction classification can support more efficient financial management and data-driven decision making for small and medium enterprises in the culinary sector.

This study was conducted to analyze the implementation of financial management and accounting practices at a Coffee Shop in South Jakarta operating within the MSME sector, with a focus on the importance of structured financial management and the application of standardized accounting as a fundamental element in supporting business sustainability. The research employed a qualitative descriptive method through interviews, direct observations, and document review. The findings indicate that the Coffee Shop has applied a cash-based recording system and utilizes a simple point of sales (POS) application to monitor cash flow and sales transactions. However, the recording of fixed assets, depreciation calculations, and the recognition of liabilities have not fully complied with the guidelines of FAS MSMEs, resulting in financial information that remains limited, lacks transparency, and does not provide a comprehensive overview of the business’s financial condition. Therefore, this study highlights the need to improve human resource capabilities in accounting and to implement simple yet credible accounting software to support more accurate, efficient, and accountable financial reporting. With more professional financial management, business owners will be better equipped to make strategic decisions, strengthen stakeholder trust, and enhance the competitiveness and long-term sustainability of the Coffee Shop.

This study focuses on analyzing the influence of sustainability reports, free cash flow, and sales growth on the financial performance of energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Financial performance is measured using Return on Assets (ROA) as the main indicator to assess a company's ability to generate profits from its total assets. This study uses a quantitative approach with multiple linear regression analysis to examine the relationship between variables. The data used are documentary data with secondary data sources obtained from financial reports and company sustainability reports. A purposive sampling technique was applied to determine the research sample based on certain criteria, resulting in 95 observational data. The results show that free cash flow and sales growth have a significant influence on financial performance, indicating that the company's ability to generate free cash and increase sales directly contribute to performance improvements. Conversely, sustainability reports were not proven to have a significant effect on financial performance, so sustainability disclosure has not been a determining factor in increasing the ROA of energy sector companies during the study period.

This study investigates the impact of third-party funds and cash turnover on Return on Assets (ROA) at PT. Bank Rakyat Indonesia, Tbk. Specifically, it examines: (1) the effect of third-party funds on ROA, (2) the effect of cash turnover on ROA, and (3) the combined effect of third-party funds and cash turnover on ROA. Employing an associative research design with a quantitative approach, this study utilizes data on third-party funds, sales, cash, profit before tax, and total assets from 2013 to 2023. Data collection techniques include documentation and literature review. The analysis involves classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation), multiple linear regression, and hypothesis testing (partial and simultaneous). The findings indicate that: (1) third-party funds significantly influence ROA, (2) cash turnover significantly affects ROA, and (3) both third-party funds and cash turnover collectively impact ROA at PT. Bank Rakyat Indonesia, Tbk.

In the digital era, business entities increasingly rely on computerized systems to manage financial activities efficiently. This study aims to design and develop a web-based financial reporting application for UD Jaya Abadi, a trading company located in Magetan Regency. The development process utilized the Rapid Application Development (RAD) methodology to ensure user involvement and rapid prototyping. Data were collected through observation and interviews with the business owner to identify problems in manual bookkeeping and report preparation. The resulting application automates financial processes including sales, purchases, journal entries, and financial reporting in accordance with SAK ETAP standards. System modules include master data management, transaction recording, and financial reporting such as income statements, balance sheets, and cash flow reports. Testing using the black box method confirmed that all system functions operated correctly. This web-based system enhances data accuracy, minimizes human error, and provides real-time access to financial information, significantly improving the efficiency of financial management at UD Jaya Abadi.

This study is motivated by the importance of financial report transparency in property and real estate companies, particularly regarding earnings management practices that may affect the quality of information for stakeholders. The purpose of this research is to analyze the effect of tax planning, free cash flow, sales growth, and managerial ownership on earnings management in property and real estate companies during the 2020–2023 period. The method employed is a quantitative approach using multiple linear regression analysis with SPSS Version 29. The research sample consists of 21 companies over four years of observation, resulting in 84 financial reports as the research data. The analysis results indicate that sales growth and free cash flow have a positive influence on earnings management, whereas tax planning and managerial ownership show no significant effect. This study confirms that internal factors such as sales performance and cash flow management are more dominant in influencing earnings management compared to ownership aspects or tax strategies. Therefore, companies are advised to focus more on operational efficiency and cash flow management, as well as to enhance governance quality to minimize earnings management practices.

The development of digital technology has changed marketing communication patterns, including in the music and audio industry. PT. Pro Musik Indonesia faces several challenges, including a diverse product variety that is not widely known, prices that target the middle to upper segment, but are not supported by clear communication. This study aims to analyze the implementation of marketing communications at PT. Pro Musik Indonesia uses the Communication Mix theory proposed by Philip Kotler (2020), which consists of five main elements: advertising, promotion, personal selling, public relations, and direct and digital marketing. The research method used is descriptive qualitative with interviews as the data collection technique. The results show that PT. Pro Musik Indonesia has utilized social media for advertising, offered seasonal discounts and cashback in sales promotions, taken a consultative and educational approach to personal selling, and built an image through music events and exhibitions. In addition, the company also integrates e-commerce platforms as a means of direct and digital marketing to expand market reach. Based on these findings, it can be concluded that the implementation of marketing communications at PT. Pro Musik Indonesia is adaptive to technological developments and consumer behavior.

This research was conducted at Public Fuel Filling Station (Stasiun Pengisian Bahan Bakar Umum/SPBU)54.861.02 PT Bolawolon with the objective of analyzing the accounting information system for cash sales of Fuel Oil (Bahan Bakar Minyak). This study employed a qualitative approach with a descriptive method. Data were collected through observation, interviews, and documentation. The findings revealed that task overlapping still occurred, as operators also performed sales, cash handling, and delivery functions, while the manager also undertook warehouse and accounting functions. In addition, the documentation used was still limited to fuel purchase recommendation letters, purchase receipts, and bank deposit slips. The accounting records were also incomplete, covering, only sales journals and cash receipts, while calculations continued to be performed manually. Although most cash sales procedures had been implemented, the recording of the cost of goods sold had not yet been carried out.