Financial Management Applications Research Articles

A Bibliometric Review of the Relationship between Sustainability Accounting and Financial Risk

This study conducts a comprehensive bibliometric analysis of the field of sustainability accounting and financial risk management, examining thematic clusters, research trends, research opportunities, and author collaborations from 1990 to 2024. Through an extensive review of literature and citation data, key thematic areas such as integrated reporting, environmental risk, and the financial impact of ESG factors were identified. Temporal trend analysis revealed an increasing focus on transparency in sustainability disclosures and the integration of corporate social responsibility into corporate risk management. Opportunities for further research were highlighted in underexplored areas including green accounting and the incorporation of non-financial risks into financial sustainability frameworks. Additionally, an examination of author networks provided insight into the collaborative dynamics among leading scholars, identifying core research groups and potential areas for new interdisciplinary studies. This study provides a structured overview of the scholarly landscape, identifying pivotal trends and gaps, thereby setting a foundation for future academic inquiries and practical applications in sustainability and financial risk management.

Implementation of the Sakti application (agency-level financial application system) in Government financial management at the statistical center of Gorontalo province

The purpose of this research is to identify the application and constraints of the application of SAKTI application in government financial management at BPS Gorontalo Province. The research data was collected through observation, interviews, and documentation. The results showed that BPS Gorontalo Province has implemented the use of the SAKTI application and has been running since the application launch was carried out on January 2, 2022. Judging from the organizational readiness, interpretation, and application have not run optimally. This is because there are factors that affect the implementation of the use of the SAKTI application in state financial management at BPS Gorontalo Province, including a rather complicated operating process (there are many stages), inadequate human resources in terms of numbers, there are even employees who hold concurrent positions, and information technology facilities and infrastructure in supporting the application implementation are quite adequate, but the obstacles that users often face are from the application itself, which quite often experiences server downtime.

CASHCLASS AS AN EFFECTIVE AND PRACTICAL CLASSROOM CASH FINANCIAL MANAGEMENT APPLICATION FOR STUDENTS IN AN EDUCATIONAL ENVIRONMENT

This article discusses a class cash financial management application designed to facilitate a class financial administrator in managing cash finances in an educational environment. This application provides features such as recording income and expenses, tracking transactions, automatic financial reports. The purpose of this application is to improve the efficiency, accuracy, and affordability of classroom financial information. Another advantage of this class cash financial management application is its ability in the reporting process. This application can generate automatic financial reports that can be customized as needed. This is very useful for reporting purposes to the authorities or for audit purposes. With this application, the process of preparing financial reports becomes faster, more accurate, and more efficient. Overall, this article discusses a class cash financial management application that provides benefits in financial management efficiency, easy access to information, and reporting capabilities. This application can be a useful tool for class financial administrators such as class treasurers in managing class cash finances more effectively and efficiently. The test results of this CashClass application show that this CashClass application functions properly in accordance with the requirements and expectations that have been set.

Exploration on the Application of ChatGPT in Corporate Financial Management

The report of the 20th National Congress of the Communist Party of China proposed to accelerate the development of the digital economy and promote the deep integration of the digital economy and the real economy. With the continuous development of generative artificial intelligence technologies such as ChatGPT, the financial industry has been profoundly affected and impacted. This article mainly combines the specific characteristics of each link of financial management, taking a listed company as an example, to explore the feasibility of the practical application of ChatGPT in specific financial management links such as financial forecasting, financial decision-making, financial control and financial analysis. After research, it is concluded that, ChatGPT can generate financial forecast reports and decision-making suggestions based on the provided data, identify and evaluate financial risks, and assist accounting personnel in conducting intelligent financial analysis. Its specific application in financial management will undoubtedly contribute to the digital transformation of enterprises.

A hybrid nonparametric multivariate density estimator with applications to risk management

. Multivariate density estimation is plagued by the curse of dimensionality in theory and practice. We propose a hybrid density estimator of a multivariate density f that combines the strengths of the kernel estimator and the exponential series estimator. This estimator refines a preliminary kernel estimate f ̂ 0 with a multiplicative correction that estimates the ratio r = f / f ̂ 0 with an exponential series estimator. Thanks to the consistency of the pilot estimate, the coefficients of the series expansion tend to approach zero asymptotically. Accordingly, we design a thresholding method for basis function selection. A major obstacle of multivariate exponential series estimator is the calculation of its normalization factor. We resolve this difficulty with Monte Carlo integration, using the pilot kernel estimate as the trial density for importance sampling. This approach greatly enhances the practicality of the hybrid estimator. Numerical simulations demonstrate the good finite sample performance of the hybrid estimator. We present one empirical application in financial risk management.

The advantage of artificial intelligence application in financial risk assessment and management

The increasing perfection of artificial intelligence technology has brought subversive changes to the field of financial risk management. The application of artificial models such as neural networks, support vector machines, and mixed intelligence in financial risk management can improve the speed of data processing, provide deep insight into data analysis, reduce human labour costs, and hence improve the efficiency of financial risk control. Meanwhile, the increasing amount of data and the application of AI also bring new challenges to financial risk management, such as the risk of program error and information security. This paper introduces in detail the application status of three models, including Support Vector Machine, Support Vector Machine, and Large Language Model in risk management Based on this, this paper analyses the advantages of AI applications in promoting and reforming the financial industry. The goal is to provide an in-depth examination of present implementations and their respective benefits, as well as to investigate potential future advances in this sector.

Digitalization of village based on information technology through developing BUMDes MSMEs website and logo

The development of technology has transformed the global economic landscape, including in the realm of Micro, Small, and Medium Enterprises (MSMEs). However, MSME actors in various villages and regions often still have limitations in understanding the importance of digitalization, especially in utilizing technology to promote their products. Therefore, this Community Engagement activity is initiated with the main goal of creating and disseminating understanding about the importance of implementing a profile website, financial management application, and logo in efforts to increase visibility and sales of products for MSME actors in the Serdang Tirta Kencana Village-Owned Enterprises (BUMDes) in Tangerang, Indonesia. The implementation method is based on Community-Based Participatory Research Program (CBPR) with the following stages are location survey, website and logo creation, socialization, and evaluation. Through close collaboration with local stakeholders from BUMDes Serdang Tirta Kencana, this activity has successfully empowered MSME actors with a strong visual identity and significant digital presence. The result is a 95% increase in the skills of MSME actors in BUMDes Serdang Tirta Kencana. It is hoped that through this activity, MSME actors can become competitive and have a positive impact on local economic growth and community empowerment

Factors Affecting the Intention to Adopt Digital Banking Applications in Personal Financial Management: The Case of University Students in Hanoi, Vietnam

Factors Affecting the Intention to Adopt Digital Banking Applications in Personal Financial Management: The Case of University Students in Hanoi, Vietnam

Efficient Software Development Process Using Component-Based and ORM

The software development process has many variations. Each software development technique has its own advantages and disadvantages. There are efficient development processes and some could be more efficient. This research aims to build a web-based application efficiently utilizing component-based and ORM with a case study of financial management applications on community radio. This research begins with data collection through observations and interviews, requirement analysis, and system design, implementation, and testing. This research shows that combining component-based software development and object-relational mapping (ORM) can increase software development efficiency compared to non-component-based and pure SQL.

SISTEM MANAJEMEN PENGELOLAAN KEUANGAN BERBASIS ANDROID PADA APPEL SPECIALIST REPAIR

Appel Specialist Repair is a business that operates in Smartphone and Computer repair and maintenance services. Currently, the financial management process uses Google services, namely spreadsheets, and recording is still done manually, such as recording financial transactions, checking stock of goods, and preparing financial reports. This manual approach carries the risk of data duplication and accidental data deletion. The research method used in this research is a qualitative method consisting of literature studies related to the thesis title, field studies observations at Appel Specialist Repair, interviews with related parties, analysis of needs related to the system required, design and creation of an Android-based information system, and testing black box financial management application. Based on the research and analysis, UML models for designing and creating an Android-based financial management information system for Apple Specialist Repair in its finance.

Computer intelligent simulation based on wireless sensor networks application in big data financial management

The advent of big data has revolutionized financial management by providing a more comprehensive and accurate data analysis platform. This transformation necessitates innovation and reform in traditional financial management practices to effectively address the challenges posed by big data. In this study, a simulation model is proposed that combines high-resolution imaging algorithms and computer technology to analyze the intricacies of big data financial management. By collecting and processing vast amounts of financial data, the simulation model employs high-resolution imaging algorithms for data analysis and pattern recognition. This enables the refinement and control of financial management through precise analysis and prediction. The results demonstrate that the simulation model, based on high-resolution imaging algorithms, yields more accurate financial data analysis and prediction, empowering companies to make well-informed decisions. The utilization of this method significantly enhances the efficiency and accuracy of financial management, reducing manual errors and decision deviations. Compared to traditional financial management methods, this approach promotes the refinement and control of financial management, thereby propelling the development of modern company management.

Panduan Praktis untuk Meningkatkan Kinerja Keuangan UMKM: Implementasi Sistem Akuntansi Microsoft Access pada Lamoela Bar untuk Optimalisasi Laporan Keuangan

The financial management application implemented for Lamoela Bar has brought innovation in the management of micro, small, and medium-sized businesses (MSMEs) in the handicraft industry. With an initial focus on security through a login menu, the app provides restricted access to authorized users. Various app menus, including transaction types, sales, cash transactions, and general ledger, offer easy navigation and business activity recording. The transaction types allow recording of various transaction categories, while the sales menu facilitates efficient product sales recording. The cash transaction menu provides real-time monitoring of cash flow, and the general ledger helps organize transaction records into a ledger. With an intuitive design, this app not only provides efficiency in management but also offers an accurate overview of Lamoela Bar's financial performance. It is expected that the implementation of this app will increase productivity and support sustainable growth for this MSME in the dynamic business world.

MENGUASAI KEUANGAN RUMAH TANGGA DENGAN TEKNOLOGI: PELATIHAN LITERASI DIGITAL BAGI WARGA ‘AISYIYAH KECAMATAN CIBODAS KOTA TANGERANG

Financial managers using digital literacy in the family are still unfamiliar at this time. The lack of financial management in a family can trigger greater problems within it. However, when the family's finances are well planned and managed, then every member of the family will feel peace in his home. With the socialization of the use of digitalization on financial management for household mothers as well as technical guidance on using existing family financial management applications, the financial issues faced will be easier to anticipate in advance. If this problem can be solved by every family, then the purpose of a prosperous family can be realized. The dedication to the community is aimed at explaining the mastery of family financial management and providing technical guidance using Android-based financial management applications for household mothers. The post-test results showed that 79% of participants had a better understanding of how to use a family financial management app using a handheld phone device they had. This figure increased 41% of the pre-test result done before the activity was carried out.

Artificial intelligence empowers the construction of first-class financial management system

Abstract With the rapid development of artificial intelligence technology, its application in financial management is increasingly widespread. This study aims to explore how to build a first-class financial management system with the help of artificial intelligence technology. We adopt the improved BP algorithm and ant colony algorithm to conduct in-depth research on financial risk early warning, financial analysis and financial forecasting. In terms of financial Risk early warning, a neural network-based risk early warning model is studied, and the improved model increases the prediction accuracy by 15%. The complex correlation between corporate financial status and market performance is found in economic analysis of multiple financial indicators. In terms of financial forecasting, a combination forecasting model is introduced and the weights are optimized by the ant colony algorithm, which improves the accuracy and reliability of the forecast and reduces the forecasting error by 20%. Artificial intelligence technology can effectively improve the efficiency and accuracy of financial management, provide powerful support for enterprise economic decision-making, and provide new ideas for building a first-class financial management system.

Analisis Tingkat Pendidikan dan Pemanfaatan Digitalisasi Terhadap Penerapan Manajemen Keuangan Syariah pada UMKM di Kecamatan Ciamis

Financial management is very necessary for MSMEs as an effort to control assets or funds and carry out financial planning to increase profitability. This study aims to determine the relationship between the Education Level and the use of digitalization on Islamic financial management for MSME actors in Ciamis District. The method used in this study is a quantitative method using primary data through questionnaires on MSME actors. Research sample with a total of 100 respondents. This research method uses multiple linear regression method. The results showed that the level of education and the use of digitalization have a positive and significant relationship with Islamic financial management, the use of digitalization has a significant positive relationship with Islamic financial management for MSME players in Ciamis District. This shows that the higher the level of education and the use of digitalization of MSME actors in Ciamis District, the more the application of Islamic financial management for MSME actors in Ciamis District will increase

Application of financial management in regional economic development based on VAR modeling

Abstract This paper constructs a vector autoregressive (VAR) model between the level of financial management and regional GDP. Through the Granger causality test, the panel data at the financial management level and regional economic phenomena are studied, and the empirical distributions in the stationary situation are given by combining the stochastic simulation method. The auxiliary regression equations are established separately for constrained and unconstrained conditions, and the test statistic is constructed to determine whether there is Granger causality between the variables. Finally, from the actual data, a one standard deviation shock is applied to LATS and LGDP, and a response model with a lag of 100 periods is chosen to obtain the impulse response of the level of financial management and regional economic growth. The results show that the impact of the regional economy on the level of financial management is zero in the first period and then increases continuously, reaching a maximum response of 0.0233 in the 49th period, which indicates that there is a bidirectional promotional effect between the level of financial management and the regional economy and that the effect is not very strong but lasts for a long time.

Финансовое управление проектами: основные подходы и методы

Abstract. This scientific article analyzes the main approaches related to financial project management. Various methods used in the field of financial project management have been studied, with an emphasis on the analysis of their essential significance, covering such key aspects as the effective allocation of financial resources, financial decision-making and the determination of financial success indicators related to the implementation of projects. In the course of the study, important conclusions were drawn regarding the advantages and limitations of the methods considered, and the direct impact of financial management on the quality and effectiveness of project initiatives was confirmed. Recommendations aimed at optimizing financial project management are proposed, which are useful for practical application in financial project management, and can also become the basis for further research in this area.

Aplikasi Sistem Informasi Pengelolaan Keuangan Dan Inventori Persediaan Barang Dengan Metode Perpectual Pada Ud. Sinar Sejahtera Berbasis Web

Analysis of goods inventory system is a sales information system that produces information that can be useful for supporting sales activities. Sales information system as an application that manages data in collecting, storing sales data so that it can be distributed back to the agency. Information system as a solution in overcoming UD Sinar Sejahtera in the process of managing sales data, purchase data, outgoing goods data, incoming goods data, stock data, and buyer data in an organized manner. The method used in developing this application uses the perpectual method which can be called the bookkeeping method, the results of feasibility testing from application users reach 83% if the application is feasible to use. This research produces new innovations and produces a financial and inventory management application system at CV Sinar Sajahtera Pondok Pesantren Nurul Jadid.

PENGARUH COMPUTER KNOWLEDGE, TRAINING, DAN COMPUTER SELF-EFFICACY TERHADAP EFEKTIFITAS SISTEM KEUANGAN DESA

The Village financial management application is one of the uses of e-government initiated by the government through the implementation of Siskeudes to improve quality village financial governance. This study aims to examine and analyze the effect of computer knowledge, training and computer self-efficacy on the effectiveness of the village financial system in Pangkajene Regency. The sample in this study were all village treasurers in Pangkajene Regency, amounting to 65 people. This study uses a quantitative approach. The data is processed using Structural Equation Models (SEM) with the help of SmartPLS. The results of this study indicate that computer knowledge, training and computer self-efficacy affect the effectiveness of the village financial system. This means that the higher the computer knowledge and computer self-efficacy that a person has, the higher the use of computers to complete the given task more quickly and on time, and the more often it is given to someone, the higher their ability to carry out the tasks assigned to them. provided to achieve maximum results.

APLIKASI SISTEM KEUANGAN DESA (SISKEUDES) DAN AKUNTABILITAS PENGELOLAAN KEUANGAN DESA

This study aims to analyze the implementation of the SISKEUDES application in Dangin Puri Kauh Village, whether it is in accordance with applicable regulations and theories, the benefits of the SISKEUDES application in village financial management, the constraints and obstacles encountered in its implementation and the internal controls applied. This study uses qualitative research techniques with interviews and literature studies. The results of the study show that the implementation of the SISKEUDES application in managing village funds in Dangin Puri Kauh Village is in accordance with applicable regulations, namely Permendagri Number 20 of 2018. The SISKEUDES application also has a role in accountability in managing village funds and managing village finances to become more efficient. The internal control of the SISKEUDES application is also considered quite good. In the implementation in the field there are still obstacles such as slow applications when operating, server down, and other obstacles.