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The size of the company as a moderator in defining the correlation between capital structure, profit, and firm value is the focus of this study. Adopting a quantitative associative approach, this research focuses on the non-cyclical consumer sector registered on the Indonesia Stock Exchange (IDX) for the period 2020–2023. Of the 125 companies, 73 were purposively selected to create the research sample, yielding 292 observations after excluding entities with incomplete data and those with special monitoring status. The authors gathered secondary data from audited yearly financial reports through the IDX portal and corporate websites. The analysis used quasi-moderation techniques by combining independent variables, moderation, and interaction in a single regression model, processed through EViews 13. The research results show that capital structure has a significant positive impact on firm value, while profitability has no significant impact. Firm size has been shown to affect the relationship that exists between capital structure and firm value, but it does not moderate the association between profitability and firm value. These findings confirm that leverage’s effectiveness in increasing firm value is independent of company size and that profitability is not a primary determinant in this context. This research provides empirical evidence to advance capital structure theory and to inform executives’ strategic financial decisions and investors’ evaluations of corporate outlooks.

The management of State-Owned Goods (SOG) is a crucial aspect of asset management that requires an effective and efficient system. This study aims to analyze the optimization of the State Asset Management Information System (SIMAN) as a tool for managing SOG at the Office of State Treasury and Auction Service (KPKNL) Semarang. Using a descriptive qualitative approach, this research evaluates the implementation of SIMAN in improving the accuracy, efficiency, and transparency of SOG management. The findings indicate that the implementation of SIMAN successfully integrates all aspects of SOG management into a comprehensive digital platform, accelerating the processes of inventory, recording, and reporting SOG. Furthermore, the system facilitates monitoring and auditing by providing real-time and accurate data. The improvement in coordination among units and the use of user feedback are key factors in the system's optimization. However, challenges related to human resource training and technological infrastructure support still require further attention. Overall, SIMAN has had a positive impact on organizational performance and has strengthened accountability and transparency in the management of SOG at KPKNL Semarang.

The demand for real-time performance monitoring in the Industry 5.0 era encourages organizations to adopt integrated approaches to management control systems. This study aims to develop and validate a Balanced Scorecard (BSC)-based performance evaluation model integrated with computerized accounting systems to enhance managerial decision-making quality. The research employs a Research and Development (R&D) approach, following systematic stages of model development including needs analysis, system design, prototype construction, and expert validation. Primary data were obtained from three management accounting experts and two information system practitioners who evaluated the model using five key criteria: accuracy of key performance indicators (KPI), ease of use, indicator relevance, data visualization quality, and implementation feasibility. The findings reveal that all criteria achieved average scores above 4.0 on a five-point scale, indicating a high level of expert consensus and confirming the model’s conceptual validity. The highest scores were recorded for KPI accuracy (4.5) and implementation feasibility (4.4), demonstrating the model’s potential for real-world application. The novelty of this study lies in its integration of BSC metrics with real-time accounting data processing through the R&D approach, resulting in a systematic framework for performance monitoring. Future research is recommended to enhance dashboard interactivity and conduct field implementation testing to measure the model’s impact on decision-making quality.

This research aims to determine good corporate governance and ineffective monitoring of the condition of financial reports. This research uses a quantitative approach with a sample of 33 companies listed on the Indonesia Stock Exchange (IDX) for the period 2020 - 2022. This research investigates the relationship between the independent variable and the dependent variable by analyzing data from energy sector companies. This method uses multiple linear analysis techniques. The research results show that managerial ownership has a significant impact on the condition of financial statements. In line with the fraud triangle theory, which states that high management ownership can increase pressure to achieve financial goals and provide an opportunity to do so. Financial statement fraud is not influenced by institutional ownership and ineffective monitoring. These findings suggest that the effects of institutional ownership and ineffective monitoring may not be easy to predict. Further research is needed to understand the complexity of the components that contribute to the condition of financial statements.

This study aims to analyze the best-selling ice cream sales data in 2022 from the Mixue Karangjati franchise in Semarang Regency, as well as calculate the contribution margin ratio (RCM) and break-even point (BEP) in units and monetary value for each item. Sales data and related costs are processed to gain insights into the company's financial performance. The analysis results indicate that the RCM for the year 2022 is 7.4%, while the BEP in units and monetary value has been calculated for each item. Additionally, planning recommendations for the future are provided, including product diversification, cost monitoring, technology utilization, and service quality improvement. This study provides crucial insights for management in financial planning and strategic decision-making to achieve the company's business goals.

Financial management is an administrative activity related to budget planning, storing, using, recording and monitoring the entry and exit of money or organizational funds. Inventory analysis is an activity to examine an asset issue that includes goods. Turn over inventory is the ratio between the total cost of goods sold and the average value of inventory owned by the company. in the process of managing finances and inventories, it is still carried out using a recording system in a ledger, so it is less effective. Therefore the author will develop a form of information system by selecting CV. Arris AC as research object. Based on the problems that occur in CV. Arris AC, the authors provide a solution that can overcome weaknesses by creating an Accounting Information System for Financial Management and Inventory Analysis using the inventory turnover ratio method which can be accessed via the web. In other words, this ratio describes how fast inventory rotates. web is an application that contains multimedia documents (text, images, sound, animation, video) in it that uses the HTTP protocol with database support for MySQL, Xampp and Adobe Dreamweaver CS6..   Keywords:Accounting, Financial Management, Inventory Analysis, Ratio, Web

This study aims to determine the effect of pressure, opportunity, rationalization and capability on Financial Statement Fraud. The sampling of this research is purposive sampling. The sample of this research is manufacturing companies in the basic and chemical sectors listed on the Indonesia Stock Exchange (IDX) from 2017 to 2019. The test method in this study is panel data regression analysis. The results of this study indicate that external pressure has a significant negative effect on financial statement fraud. Meanwhile, personal financial need, ineffective monitoring, auditor change and changes of directors have no significant effect on the variable of financial statement fraud. The results of this study are expected to be a reference for future research and other users of financial statement information in detecting financial statement fraud.

This study aims to develop a fuel inventory control system so that it can facilitate monitoring the volume of fuel stock from each bunker ship and can be reported at any time, so that the leadership can estimate the addition of fuel orders to PT. Pertamina for each bunker ship that is adjusted to the incoming fuel request order. If there is a sudden fuel order by the customer, the company can still serve the customer well, so that the fuel stock can be controlled and can be monitored properly at any time. The research method used in the information system monitoring the pump fabrication process is Research and Development (R&D) in this study only until the 6th (sixth) stage and produces the final product in the form of a prototype, so it does not reach the product implementation stage. The six steps are Research and information collecting, Planning, Develop preliminary form of product, Preliminary field testing, Main product revision and Main field testing. This application is made using Macromedia Dream Weaver and MySQL database.

This study aims to examine and analyze the effect of hexagon fraud which is proxied by financial stability, financial targets, external pressure, cooperation with government projects, change of directors, ineffective monitoring, turnover of auditors, the ratio of total accruals to total assets, external auditors quality, and the company's existence towards fraudulent financial statements in banks listed on the BEI 2015-2019. The sampling method used was purposive sampling technique and obtained a sample of 29 companies with 145 data. The type of data used is secondary data from annual banking reports. Data were analyzed using SEM PLS with WarpPLS 7.0 software. The research results prove that financial stability, financial targets, and ineffectiveness of monitoring have an effect on fraudulent financial statements. Meanwhile, external pressure, cooperation with government projects, change of directors, change of auditors, ratio of total accruals to total assets, external auditors quality, and the existence of companies have no effect on fraudulent financial statements.

This study designed a system that is able to assist companies in calculating cash receipts and disbursements. The Accounting Information System for Cash Receipts and Expenditures will be equipped with the use of user log-ins to maintain the level of data security so that not just anyone can misuse the data. The system designed will also be equipped with security of access rights and data storage systems, providing a database using the Visual Basic 6.0 programming language that holds records of cash receipts and disbursements to be a good report, summarizing the process of moving data from ledgers to becoming cash reports flow, and can document each period's report so that it can be grouped properly. The research method used is the Borg and Gall R&D research approach which consists of 10 stages, out of 10 R&D stages the author only conducts the research approach to the 6th stage alone. and monitoring cash flow very well. In addition, it can also produce reports that are precise, accurate and efficient.

PT. Nusantara Sakti Salatiga or often referred to as NSS is an automotive company or dealer of two-wheeled motor vehicles with the Honda brand, which is located at JL. Cutting No. 100 Salatiga. This company has a very rapid development, this is evidenced in 2017 the stock inventory increased by 25%. Motorcycle inventory monitoring information system with a web-based average method at PT. Nusantara is an accounting information system created to overcome data processing problems which are still in the form of manual bookkeeping so that the data is less valid and less effective time to present reports and even data storage has not been recorded which results in easy data loss. Existing problems can be overcome by creating an accounting information system Monitoring Inventory and making a data storage information system that is valid and effective. Designing a good computerized system that is expected to assist officers in presenting reports quickly and accurately. Data collection methods used are the questionnaire method and Likert scale. The method of designing a motorcycle inventory monitoring information system is made using the methodology of R&D, Flowchat, DFD, ERD and Normalization. The program used to create this application uses the PHP and MySQL programming languages ​​as Database management. The results of this study indicate that the motorcycle inventory monitoring information system with a web-based average method at PT. The archipelago can be used to solve inventory processing problems that include data collection of data, supplier data collection, data entry of goods, data collection of goods out, and inventory using the average method can make reports that are valid, effective and efficient so that reports can be accounted for and risk error will be minimal.

Sisfo Monitoring of Goods Inventory in Shop Based on Visual Basic 6.0 Multiuser with FIFO method Studin Case in Cimory on the valley Ssemarang Regency is an information system created to overcome the problem of data processing which is still in manual bookkeeping so it takes a long time and results are inaccurate or recap The data does not even have data storage yet undatabase which results in easy data loss. The existing problems can be overcome by making Monitoring of inventory and making data storage information systems more secure and efficient. The design method of monitoring inventory of goods made using the R&D methodology, Flowchat, DFD, ERD and Normalization. The program used to create this application uses the programming language Microsoft Visual Basic 6.0 and MySQL as Database management. The results of this study indicate that the monitoring of inventory of goods applied in Cimory on the valley Semarang Regency can be used to solve data processing problems in the warehouse which include data data collection, data entry of goods, data collection of goods out, data collection of suppliers and customer data collection can make accurate reports , fast and efficient so that reports can be accounted for and the risk of loss of goods will be minimal.