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It is expected that UMKM will become a leading economic sector in order to achieve its building goals. This is due to the fact that UMKM is one of the few businesses that can thrive in challenging economic conditions. Due to this, in order for UMKM to be able to continue, UMKM has to have sound financial management practices. The first is having accurate financial knowledge and the ability to create financial reports that are needed to formulate business strategies that will eventually emerge. The financial performance of East Sudimara Culinary MSME in Ciledug, Tangerang does not reflect a sound financial performance. Training and mentorship outcomes, such as basic accounting and financial report writing, raise MSME actors' knowledge of the value of the information collected.

Financial performance reflects the quality of the company may be at risk. The pandemic has resulted in various sectors, including a decline in profits. The acquisition business development strategy is used to survive in a condition. Acquisition is the process of taking over ownership resulting in the transfer of control. The research objective analyzes the differences in banking financial performance before and after being acquired by the acquiring company. Financial performance is observed from liquidity with current ratio, solvency measured debt to total asset ratio, profitability measured return on assets, activity measured total asset turnover, and market measured earnings per share. Data after being collected is processed descriptive statistics and normality tests so as to find normally distributed data will be tested through paired sample t-test while data that is not normally distributed is tested by the Wilcoxon signed rank method. The average descriptive statistical results after experiencing an increase in performance. The results of hypothesis testing show that there is a difference in significant improvement in liquidity and activity ratios, there is a significant decrease in solvency, while based on profitability and market there is no significant improvement. Overall the results show that the acquired banks have not fully achieved synergy, the company must review economic conditions when planning development strategies in order to achieve synergy.

MSIB (Certified Independent Study and Internship) is one of the activity programs at the Merdeka Campus which aims to help students improve their skills and develop themselves. MSIB appointed Orbit Future Academy as one of the partners in the Independent Study program. Founded in 2016 with the aim of improving the quality of life through innovation, education and skills training. In accordance with its mission, namely "We curate and localize international programs and courses for upskilling, re-skilling youth, and the workforce towards jobs of the future". Partners provide opportunities for students to take Artificial Intelligence programs and study online. Learning consists of eight material courses including Python Programming, AI Technology Logic and Concepts, AI Project Cycle, AI Research Methods, ChatGPT, Professional and Company Ethics, Financial Literacy and ending with a Final Project. The final project scope carried out is the Occupancy Detection in Parking Lot project. This project uses the Computer Vision domain with the selection of the YOLO model in detecting objects and pixel segmentation. The project begins with selecting a dataset using roboflow which then goes through data pre-processing for cloning, annotation and augmentation. Then the model is trained using machine learning and deep learning algorithms to understand patterns and characteristics related to parking spaces. Once trained, the AI model will be validated using test data. This aims to ensure that the model truly recognizes the presence of the vehicle. Next, form the application design in creating an informative interface using wireframes. Then enter the deployment stage so that the system can be accessed widely and easily via the web. Lastly, field testing is to find out the performance of the application that has been designed.      

The objective of this study is to assess the financial performance of job training institutions with regards to the attainment of organisational objectives. This study used a qualitative methodology to assess the efficacy of managing financial resources within institutions. It focuses on important financial indicators, including liquidity, solvency, profitability, and efficiency. The study collected and analysed historical financial data from multiple job training institutions to ascertain the correlation between financial performance and the institution's capacity to accomplish its strategic objectives. The research findings indicate that institutions exhibiting robust financial performance are more proficient in conducting training programmes that align with labour market demands, extending the scope of their services, and guaranteeing long-term operational viability. 

The aim of this research is to analyze the effect of financial performance using the EVA and MVA methods on stock returns by including firm size as a moderating variable. The research uses a quantitative approach. The research population is food and beverage sub-sector companies listed on the Indonesia Stock Exchange (BEI) for the 2021-2022 period. Using a purposive sampling technique, a sample size of 27 companies was obtained with a population of 40 companies. Analyzed using the SEM-PLS approach to test the hypothesis. The results of the research found that company performance had a significant effect on stock returns using the EVA and MVA methods. However, firm size has no effect on stock returns, so the firm size variable cannot moderate financial performance using the EVA and MVA methods on stock returns. This proves that the company has not been able to create added value to the company and firm size cannot determine the continuity of a company's business.

Stock returns are generated by investors from buying and selling activities of the stocks they own. The generated return is determined by the increase or decrease in the stock prices. These prices are formed by the fundamental performance of the company. The purpose of this research is to examine the influence of factors such as financial distress, firm size, liquidity, and price to cash flow from operating activities on stock return. This study was conducted on transportation and logistics companies during the period of 2019-2022. A total of 22 companies were selected as samples for this research, using purposive sampling method and obtaining 88 relevant research data. The relationship between the dependent variable and independent variables was analyzed using multiple linear regression. The hypothesis test showed that the variable of financial distress, analyzed using the Zmijewski method, did not have any significant influence on stock return. Firm size, measured by total assets, was also not found to have a significant impact on stock return. The analysis of liquidity using the current ratio did not find a significant influence on stock return. However, price to cash flow from operating activities showed a significant and positive influence on stock return. This factor can be taken into consideration by investors and potential investors when analyzing the financial fundamentals of transportation and logistics companies before investing, as it has an impact on stock return.

Financial ratio analysis is one way to assess a company's financial performance. This research aims to determine the financial performance of UD. Rubama. The research uses financial management theory based on measuring instruments Debt to Assets Ratio, Debt to Equity ratio, Return On Investment and Return On Equity. The approach used in this research is a descriptive research approach. The samples in this research are UD's balance sheet and profit and loss report. Rubama for the 3 year period 2018-2020. The data analysis technique used in this research is descriptive data analysis technique, namely collecting data, classifying it in such a way as to obtain a clear picture of the facts that exist as a reality in the object under study. The research results show that the company's financial performance as measured by the solvency ratio (Debt to Assets Ratio) and (Debt to Equity Ratio) is good, because there is an increase in the amount of debt and is followed by an increase in the amount of assets every year and the company is able to emphasize funding using its own capital. The results of the profitability ratio analysis show that the company's ability to generate profits in terms of Return on Investment is good, because the profits are quite high in terms of asset turnover. Meanwhile, in terms of Return On Equity, the company is also good because the company has not been able to maximize its capital to produce optimal net profits, the average during the research period was 36%.

Planning and reporting performance results in local government using information systems. The purpose of conducting research is to obtain an overview of the results of accountability for employee performance with the help of implementing SIMDA BMD at the Regional Financial and Asset Agency of the Bintan Regency Government. It is hoped that the presence of the SIMDA application can help the government in managing finances, especially in employee performance accountability and providing ideal management information. Data collection was collected using literature studies, interviews, observation and documentation. The results of this research show that SIMDA BMD (Regional Property Management Information System) in the financial management process, especially financial reporting, continues to run well and cannot yet be said to be fully effective, this is due to various obstacles that occur.  

This research aims to examine the influence of Regional Original Income, General Allocation Funds and Special Allocation Funds on Regional Government Financial Performance. Using 38 samples of Regional Revenue and Expenditure Budget Realization Reports (APBD) for Regency/City Regional Governments in East Java Province for the 2020-2022 period which have been officially published and audited by the East Java Province Representative Financial Audit Agency (BPK Jatim). Testing was carried out using multiple regression. The test results prove that Regional Original Income has an influence on Regional Government Financial Performance. General Allocation Funds and Special Allocation Funds have no effect on Regional Government Financial Performance.

This research is motivated by the existence of a high level of public trust in banking is closely related to the assessment of banking performance in terms of liquidity ratio analysis. The purpose of the study is to determine the level of bank liquidity and what policies will be carried out by banks against the ratio results. The method used in the research is the literature review method with data in the form of references to evaluate liquidity ratios in banking. The results obtained in this study from Table RQ1 the types of liquidity ratios that are often used in measuring the level of banking liquidity are the quick ratio and cash ratio. While Table RQ2 the advice that can be given is that banks must be able to pay attention and evaluate their assets. So it can be concluded that in general the types of liquidity ratios that are often used to calculate the level of bank liquidity are the quick ratio and cash ratio and further banking policy suggestions to use more diverse types of liquidity ratios. Ajmadayana, C. P., Akmalia, Z., & Hasibuan, A. F. (2022). Analisis Rasio Likuiditas dan Solvabilitas pada Bank Muamalat Indonesia Periode 2019-2020. Jurnal Ekobistek, Volume 11 No.3, 179-185. Fathurrahman. (2022, March). Banking Perfomance Analysis Based On Liquidity Ratio. Nusantara Hasana Journal, Vol.1 No.10, 141-145. Harahap, & Safitri, S. (2015). Analisis Kritis Atas Laporan Keuangan. Jakarta: PT. Rajagrafindo Persada. Harianto, S. (2017). Rasio Keuangan dan Pengaruhnya Terhadap Profitabilitas Pada Bank Pembiayaan Rakyat Syariah di Indonesia. Jurnal Bisnis dan Manajemen, 41-48. Iryani, L. D., & Herlina. (2015). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Ilmiah Akuntansi Fakultas Ekonomi, Volume 1 No. 2, 32-40. Jumingan. (2006). Analisis Laporan Keuangan. Jakarta: Bumi Aksara. Kasmir. (2015). Bank dan Lembaga Keuangan Lainnya. Jakarta: PT Raja Grafindo Persada. Kasmir. (2017). Analisis Laporan Keuangan. Jakarta: PT. Rajagfrindo Persada. Khotimah, I. C. (2021). Analisis Dampak Pandemi Covid-19 Bagi Rasio Likuiditas Bank Bukopin Syariah. Jurnal LARIBA Jurnaal Perbankan Syariah, Vol. 2 No. 02, 28-41. Masita, N., Hariatih, & Nianty, D. A. (2023). Analisis Kinerja Keuangan Menggunakan Rasio Likuiditas dan Profitabilitas pada PT. Bank Rakyat Indonesia (Persero) Tbk. Jurnal Manajemen dan Akuntansi, Vol. 1 No. 2, 203-214. Nurul, Suharti, T., & Nuhayati, I. (2020, Mei). Analisis Kinerja Keuangan Berdasarkan Rasio Likuiditas, Solvabilitas, dan Rentabilitas Pada Sektor Perbankan. Jurnal Ilmu Manajemen, Vol.3 No.2, 146-159. Ottay, M. C., & Alexander, S. W. (2015). Analisis Laporan Keuangan Untuk Menilai Kinerja Keuangan Pada PT. BPR Citra Dumoga Manado. Jurnal EMBA, Volume 3 No.1, 923-932. Pangemanan, I. W., Karamoy, H., & Kalalo, M. (2017). Analisis Rasio Likuiditas, Leverage dan Profitabilitas Untuk Menilai Kinerja Keuangan Pada PT. Bank Central Asia, Tbk. Cabang Manado. Jurnal Riset Akuntansi Going Concern, Volume 12 No. 2, 25-34. Permana, I. S., Halim, R. C., Nenti, S., & Zein, R. N. (2022). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Aktiva: Riset Akuntasi dan Keuangan, Volume 3 No.3, 132-139. Ramadhanty, T. N., Musriha, & Noviandri, I. (2021). Analisis Rasio Keuangan terhadap Kinerja Keuangan pada PT.Bank Pembangunan Daerah Jawa Barat dan Banten, Tbk. Jurnal Ekonomi dan Bisnis, Volume 1 Nomor 3, 183-188. Setia, I., Clasissa, R., Nenti, S., & Zein, R. N. (2022). Analisis Kinerja Keuangan dengan Menggunakan Rasio Likuiditas, Solvabilitas, dan Profitabilitas pada PT. Bank BNI (Persero) Tbk. Jurnal Aktiva: Riset Akuntansi dan Keuangan, Vol.3 No.3, 132-139. Sihombing, C., Damanik, E. O., & Sriwiyanti, E. (2019). Pengaruh Rasio Likuiditas Terhadap Kinerja Keuangan Pada PT. Bank Perkreditan Rakyat Eka Prasetya Pematangsiantar. Jurnal of Accounting USI, Volume 1 No. 1, 12-22.  

The purpose of the study was to determine the effect of the implementation of Good Corporate Governance on Firm Value and Financial Performance. The sampling used purposive sampling technique, namely the selection of samples with certain criteria, so that the sample in this study was 32 samples. The implementation of Good Corporate Governance was measured by a score of corporate governance perception. index (CGPI). Firm value is measured by Tobin's q and financial performance is measured by return on assets (ROA). The results show that there is a significant negative relationship between good corporate governance and firm value, and there is a significant negative relationship between good corporate governance and financial performance. This shows that the market response to the implementation of good corporate governance is still lacking and the implementation of good corporate governance requires a longer period long time to see its success.

This study aims to analyze the effect of Corporate Social Responsibility (CSR) disclosure, Environmental Costs, and Company Size on the Financial Performance of mining sub-sector manufacturing companies listed on the Indonesia Stock Exchange. In this study using the type of quantitative data with the acquisition of secondary data derived from financial statements. Sampling using Purposive Sampling technique with 32 samples in this study. The method used in this study adopts the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to analyze the relationship between CSR disclosure, Environmental Costs and Company Size. The results of this study indicate that Corporate Social Responsibility (CSR) has a positive but insignificant effect on financial performance. While Environmental Costs and Company Size have a negative and significant effect on Financial Performance.

Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the application of the Synthetic Minority Over-sampling Technique (SMOTE) to assess their performance. These algorithms included Random Forest (RF), K-Nearest Neighbors (KNN), Naïve Bayes (NB), Support Vector Machines (SVM), and Logistic Regression (LR). The methodology was implemented and tested through an API using Flask and Streamlit in Python. Before applying SMOTE, the RF classifier outperformed the others with an accuracy of 0.9802, while the accuracies for LR, KNN, NB, and SVM were 0.9219, 0.9435, 0.9508, and 0.9008, respectively. Conversely, after the application of SMOTE, RF achieved a prediction accuracy of 0.9919, whereas LR, KNN, NB, and SVM attained accuracies of 0.9805, 0.9210, 0.9125, and 0.8145, respectively. These results highlight the effectiveness of combining RF with SMOTE to enhance prediction accuracy in credit card fraud detection.

Agriculture is a crucial sector in development because it serves as the primary sector for meeting national food needs and security. Due to its significant role, farmers as the main actors in agriculture need to possess good financial literacy, which ultimately impacts the performance of agricultural businesses. Therefore, the purpose of this study is to examine the impact of financial literacy on the performance of rice farmers. This study was conducted in Pamona Puselemba District, Poso Regency. The researcher used a quantitative approach with a survey method. The sample size of the study was 100 rice farmers, obtained using simple random sampling technique from a population of 2,226. Simple regression was used as the data analysis technique. The results of the study indicate that financial literacy has a positive and significant impact on the performance of rice farmers. Thus, financial literacy plays an important and multidimensional role in enhancing the performance of rice farmers.

Bank Negara Indonesia (BNI) is one of the largest banks in Indonesia, which if you look at it has experienced significant development, especially in terms of assets and income, which are benchmarks for its financial performance. Financial ratio analysis, especially liquidity ratios, is an important part of measuring a bank's ability to pay short-term obligations. Liquidity ratios, such as Current Ratio, Cash Ratio, Loan to Deposit Ratio, and Loan to Asset Ratio, provide an overview of the bank's financial health. Through quantitative methods and research literature, we want to know how much Bank Negara Indonesia's liquidity ratio has developed from 2019 to 2023. From the analysis of this ratio, it can be concluded that Bank Negara Indonesia has quite good liquidity during the 2019 to 2013 period, which directly means that Bank Negara Indonesia has a good ability to pay its short-term obligations.

The cost of funds ratio is a matrix used to carry out analysis in financial reports to evaluate banking financial performance by connecting various factors that influence the cost of funds ratio. Financial ratio analysis is part of business analysis that assesses a company's prospects and risks. Cost of funds ratio analysis describes the relationship between the amount of money and the company's burden in managing these finances to increase profitability. Cost of funds ratio analysis method. Research was conducted to identify information related to cost of funds ratio analysis in banking. The research results show the significant impact of financial ratio analysis on the financial performance of banking companies in Indonesia. Suggestions include increasing LDR, reducing NPL, controlling operational costs, and improving customer service. It is also recommended that the banking industry be able to reduce the cost of funds ratio regularly to improve its financial performance.

This research aims to assess financial performance in managing the 2023 APBDes in Anakalang Village, Katikutana District, Central Sumba Regency. This type of research uses a qualitative approach method, while the data sources used in this research are primary data and secondary data. Primary data was obtained through interviews with several village officials, namely the village head, village secretary, village treasurer and community leaders from the Anakalang tribe. Meanwhile, secondary data was obtained from Village Government data and documents and documentation carried out by researchers at the research location. The data collection technique used in this research is by conducting direct interviews with informants. The informants in this research consisted of the Village Head, Village Secretary, Village Treasurer and Community Figures in Anakalang Village. The results of this research show that financial performance in the management of the APBDes in Anakalang Village is based on the principles of accountability and transparency. Even though it is not in accordance with applicable policies by adjusting the situation or conditions of applicable legislation.

This study aims to determine the effect of clarity of budget targets and reporting systems on performance accountability at the Regional Financial and Asset Management Agency (BPKAD) of Merangin Regency. This research uses quantitative methods and a causal associative approach, data collection techniques using questionnaires and the sample in this research was 47 employees at BPKAD Merangin Regency using purposive sampling techniques. Data analysis techniques are using descriptive statistics, data quality testing, classical assumption testing, multiple linear regression analysis and hypothesis testing. The results of this research partially show that the variables clarity of budget targets (X1) and reporting system (X2) have a significant effect on performance accountability (Y). Meanwhile, simultaneous testing shows a significant positive influence on performance accountability at BPKAD Merangin Regency.

This paper compares various machine learning models in their ability to predict financial trends, with a focus on time-series analysis. We evaluate models such as linear regression, decision trees, support vector machines, and deep learning, measuring their performance based on accuracy, computational cost, and interpretability. Our results reveal that deep learning models offer superior accuracy but are less interpretable, while simpler models, though less accurate, provide better insight into the underlying data. This research provides guidelines for selecting suitable models based on specific financial applications.

This research is motivated by the complex relationship between operating leverage, financial leverage, and earnings per share (EPS) in the context of corporate finance. This research aims to analyze the impact of operating leverage and financial leverage on earnings per share in manufacturing companies listed on the Jakarta Islamic Index during the period 2018-2022. Utilizing financial data from the sample companies, the study adopts a quantitative approach with regression analysis using Eviews to evaluate the relationship between operational and financial leverage with the performance of earnings per share. The research results indicate that operating leverage does not have a significant effect on earnings per share, with a partial test probability value of 0.9744 > 0.05. Financial leverage also does not have a significant effect on earnings per share, with a partial test probability value of 0.7368 > 0.05. Simultaneously, operating leverage and financial leverage do not have a significant effect on earnings per share, with a simultaneous test probability value of 0.94578 > 0.05. The calculation of the coefficient of determination shows that the independent variables in the model fail to explain the variation in the dependent variable well. Subsequent research is recommended to increase the sample size of manufacturing companies listed on the JII and replace insignificant independent variables with others that can significantly influence earnings per share.