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Economic growth is a top priority for every country. Economic growth is used as an important indicator to assess economic performance. Population growth, unemployment rate, and inflation rate are considered important factors that influence economic growth. This research aims to analyze the influence of population, unemployment and inflation on economic growth in Central Kalimantan Province. The Vector Error Correction Model (VECM) method is used to analyze short-term and long-term relationships between these variables. The research results show that in the short term, inflation, unemployment and population do not have a significant effect on Gross Regional Domestic Product (GRDP). However, in the long term, only unemployment and population do not show a significant influence on GRDP. This research contributes to understanding the dynamics of economic growth and provides insight for policy makers in Central Kalimantan Province to formulate effective strategies for sustainable development.

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.

Human Resources is able to produce quality performance in a firm. To generate a high quality HR performance demands effective skill management, the variables that might affect the quality of HR performance are communication and work discipline that run simultaneously. The goal of this study is to determine and analyze the influence of communication and work discipline on employee performance, as well as to determine and analyze which of the two variables is the most dominating on the performance of Elisa Malang inpatient clinic staff. This topic has 47 respondents, employing sample collection technique is saturated sample research. Data collecting approaches using a questionnaire and Interviews. Data analysis with IBM SPSS Statistics. The results of this study can be stated that the factors of communication and work discipline have a simultaneous effect on the performance variable. The two communication factors have a significant but not significant effect on performance, while the work discipline variable has a significant effect. performance. And the results of the study also suggest that one of the variables has a more significant influence, namely the work discipline variable

The purpose of this study is to analyze Organizational Citizenship Behavior on employee performance. The sample in this study was employees which amounted to 65 employees with a total sampling technique. The analysis technique uses data Validity Test, Data Reability Test, Normality Classical Assumption Test, Simple Linear Regression Test, Partial T Test, Determination Test. The results showed that Organization Citizenship Behaviour on employee performance can be concluded that Organizatiion Citizenship Behaviour on employee performance has an influence based on the results of the calculation test of 4.942 > 1.998 with a significant value of OCB (x) on employee performance (y) is 0.00 < 0.05. Thus, drawing the conclusion H0 was rejected and Ha was accepted. The solution to the research barriers is carried out by collecting samples by collecting physical or paper media, distributing questionnaires at rest periods and using supporting devices for data processing.

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.

Transportation needs will continue to grow over time. One mode of transportation that has many fans is air transportation. Air transportation was chosen because it is a type of transportation that is efficient in terms of time. Airports are a very important factor in supporting the implementation of air transportation activities. With the increase in the number of people's needs, the number of passengers increases so that aircraft movements also increase. The increase that occurs has an impact on On Time Performance. This research uses qualitative methods with resource persons who are members of the Apron Movement Control (AMC) unit. The results of this research show that the available parking stands can fulfill efforts to achieve On Time Performance (OTP). And efforts that can be made by the Apron Movement Control (AMC) unit are to coordinate with related parties such as Ground Handling companies, Airlines, ATS and other units. Apart from that, regular briefings are also carried out to maintain and maintain punctuality of service on the apron.  

The duties and functions of a lecturer are to implement the Tri Darma of Higher Education which consists of teaching and education, research and community service. Community service is intended to participate in advancing community welfare and making the nation's life smarter. For this purpose, community empowerment is carried out through training in basic welding techniques to provide skills for people who have dropped out of school and employees who have been laid off by the Company due to being hit by the economic crisis as a consequence of the spread of Covid-19 globally and having a broad impact on various aspects of human life. The basic welding techniques training activity began with a socialization and discussion session together with educational and community leaders in Patekke Village, South Makale District. The results of the discussion are part of an analysis of situations and phenomena in society in general and for former of PT Malea Energy workers in particular. This training activity aims to provide training participants with skills and competencies so that they can work independently to activate and run the economic activities again. Training materials related to Occupational Safety and Health (K3), Industrial Materials, work facilities and equipment, and working drawings. The benefit of training is increasing HR capacity to increase productivity which is expected to improve the family's economic performance.

This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precision, specificity, and F1 score significantly. However, there was a slight decrease in recall, namely 0.02. Even though recall is one of the most important measuring tools in disease classification, especially in imbalanced datasets, specificity also plays a vital role in avoiding misidentifying negative cases. Without hyperparameter tuning, the specificity results are so poor that considering both becomes very important. Overall, the best performance obtained by the proposed method is 0.99 for accuracy, 1.00 for precision, 0.98 for recall, 0.99 for f1-score, and 1.00 for specificity. This research confirms the potential of tuned SVMs in addressing complex data classification challenges and offers important insights for medical diagnostic applications.

This gratuity is a practice that often occurs in a nation, which is carried out by state administrators or state officials. Gratification is one form given to state administrators or state officials to influence the performance of public officials which can create the potential for creating an economy at high costs and can affect the quality and fairness of services provided to the community. In the development of this gratification, initially gratification only took the form of money and goods, but in fact the practice of gratification has developed in the form of sexual services. This research seeks to answer the issue of limits on gratification as regulated in Article 12 B of the Corruption Eradication Law. Because the existence of gratification for sexual services must be regulated first so that the perpetrator can be subject to criminal sanctions. As a comparison for this research, it uses a comparative method by examining legal regulations regarding gratification in another country, namely Singapore.

The aim of this research is to discuss defaults in rental agreements for flats for low-income communities in the city of Gorontalo in light of law number 20 of 2011 concerning flats. By reviewing the issues regarding the form of implementation of the rental agreement and the legal consequences of non-performance in the agreement, this research can benefit from this. The method used in this research is an empirical legal research method. The results of this research suggest that it is necessary to provide legal education to flat tenants by implementing the contents of the rental agreement as well as the responsibility of the government as the manager of the flat, then carrying out good coordination between the relevant and authorized parties in resolving a case/case.

In the current global era, character building is needed in all fields, especially in companies that want their human resources to be better at work. "The Flash" New Character Building is a form of training for PT Swabina Gatra in creating employees who are competent and have active, flexible, intelligent and humble personalities. The method used in this research is descriptive qualitative, by interviewing trainees and training participants directly and making observations during the activity. The new findings that occurred when this training was carried out were changes in the participants' mentality to become more agile and adaptive to the surrounding environment, the presence of stimulus and The response from the trainer makes the participants have higher motivation and enthusiasm. Regular training programs are carried out with the aim of being a refreshing activity for employees. The implications of The Flash New Character Building training have positive implications in improving personal quality, performance and interpersonal relationships of individuals, as well as forming a good organizational culture

The estimated rice sales at Perum Bulog Sub Divre Medan is crucial information in planning and managing rice supplies. In this study, we apply the Double Exponential Smoothing forecasting method to estimate rice sales at Perum Bulog Sub Divre Medan. This approach allows us to identify complex sales patterns and generate accurate forecasts to aid in informed decision making. We use historical rice sales data to train a forecasting model and evaluate its performance. Experimental results show that the Double Exponential Smoothing method can provide reliable estimates of rice sales, with a satisfactory level of accuracy. The implications of these findings are discussed in the context of inventory management and operational planning of Perum Bulog Sub Divre Medan.

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.

There are many factors that influence employee or employee performance at work. that performance is basically influenced by many factors, one of which is work motivation in carrying out tasks. One of the factors that can influence employee performance is work motivation, incentives (compensation), and leadership. The aim of this research is to determine and analyze the influence of leadership style on the performance of medical and non-medical service staff at Tarempa Hospital, Anambas Islands, Riau in 2024. This type of research uses a descriptive analytical survey with a cross-sectional design. The population in this study was all the medical and non-medical service installation staff at Tarempa Regional Hospital, Anambas Islands, Riau, totaling 78 people. While the sample numbered 78 people, this population sampling was carried out with the total population. Data analysis was carried out using univariate, bivariate and multivariate analysis. Based on the results of the chi-square test, it is known that the performance of medical and non-medical service staff has an influence on Militaristic Leadership Style, Paternalistic Leadership Style, Laissirez Fair Leadership Style and Democratic Leadership Style p = 0.000, meaning that there is an influence of Militaristic Leadership Style, Paternalistic Leadership Style, Leadership Style Laissirez Fair and Democratic Leadership Style. on the performance of medical and non-medical service staff. From the results of the multivariate analysis, it is known that the most influential variable in this study is the Democratic Leadership Style variable with an odds ratio (OR) value of 62,850 which predominantly influences medical and non-medical service staff. The conclusion in this research is that the appropriate leadership style applied by medical and non-medical services is a democratic leadership style. This is because based on research results, democratic leadership style is the most dominant influence on the performance of medical and non-medical service staff. It is recommended that medical and non-medical service staff strive to improve the performance of medical and non-medical services through reading and discussion activities and discipline when entering work.    

A staff who will be promoted as a security supervisor needs to receive Gada Madya training to support their competence in carrying out their main duties, one of which is the performance of their work role as a security supervisor. So this research aims to determine the value of work role performance in security supervisors after and before receiving Gada Madya training. The research method used was a pre-experimental design experiment with one group pretest-posttest type and hypothesis testing was carried out using the Wilcoxon test. From the results of data analysis, the Asymp. Sig. (2-tailed) 0.000 < 0.005, which means the hypothesis is accepted so there is a difference in work role performance scores for security supervisors PT. Swabina Gatra before and after being given Gada Madya training. The implications of this research state that Gada Madya training is able to improve work role performance security supervisors in PT. Swabina Gatra.

The aim of this research is to analyze the influence of extrinsic motivation and intrinsic motivation on employee work performance: gender as a control variable. This research uses a quantitative method using a questionnaire with a sample size of 58 respondents or employees. The research results show that Extrinsic Motivation has a positive and significant influence on Intrinsic Motivation, Intrinsic Motivation has an influence on Job Performance, and Extrinsic Motivation has no influence on job performance. Keywords: Extrinsic Motivation, Intrinsic Motivation, Job Performance, Gender

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.

Integrating deep learning methodologies is pivotal in shaping the continuous evolution of computer-aided design (CAD) and computer-aided engineering (CAE) systems. This review explores the integration of deep learning in CAD and CAE, particularly focusing on generative models for simulating 3D vehicle wheels. It highlights the challenges of traditional CAD/CAE, such as manual design and simulation limitations, and proposes deep learning, especially generative models, as a solution. The study aims to automate and enhance 3D vehicle wheel design, improve CAE simulations, predict mechanical characteristics, and optimize performance metrics. It employs deep learning architectures like variational autoencoders (VAEs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) to learn from diverse 3D wheel designs and generate optimized solutions. The anticipated outcomes include more efficient design processes, improved simulation accuracy, and adaptable design solutions, facilitating the integration of deep learning models into existing CAD/CAE systems. This integration is expected to transform design and engineering practices by offering insights into the potential of these technologies.