The purpose of this study was to determine and analyze the effect of work experience and workload on employee performance at PT. Astra Honda Motor Unaaha. The location of this study was conducted at the showroom of PT. Astra Honda Motor Unaaha, which is located in Tumpas Village, Unaaha District, Konawe Regency. In this study, all populations were sampled, namely 30 employees. To measure the effect of work experience and workload on employee performance, a measuring instrument in the form of a questionnaire was used, the answer categories for questions using the Likert Scale. Work experience and workload have a significant effect on employee performance, this means that the more work experience and balanced workload will increase employee performance, where the partial test of the work experience variable (X1) obtained a t significance of 0.001 smaller than 0.05, then partially the work experience variable (X1) has an effect on employee performance variables (Y). And the partial test on the workload variable (X2) obtained a t significance of 0.000, or a t significance of less than 0.05, so partially the workload variable (X2) has an effect on the employee performance variable (Y).

This study aims to analyze the impact of education and training, motivation, and compensation on employee performance at Bank BNI Main Branch Yogyakarta. A quantitative method using survey and multiple linear regression analysis was employed. A sample of 75 respondents was selected using Slovin's formula from a population of 238 employees. The results indicate that all three variables significantly affect employee performance. Education and training enhance employee skills, while motivation drives employees to commit more to their work. Fair and competitive compensation contributes to employee satisfaction and productivity. This study provides valuable insights for organizations in developing employee-related policies. However, the research is limited to a single branch and employs a quantitative approach, suggesting the need for further studies with a qualitative approach and a broader sample size for more comprehensive results.

Companies face new challenges in maintaining compliance with business ethics in the digital era which is characterized by technological advancements and globalization. It is essential to implement business laws to ensure that the company's practices not only comply with applicable regulations but also follow high moral standards. The study looks at how business law can help with ethical compliance in the digital environment, including data protection, transparency, and social responsibility. Using case studies from various industries, this study shows that consistent application of business laws and ongoing ethical counseling can create a strong culture of compliance. As a result, the company can not only reduce legal risks but also build a good reputation in the eyes of the public and consumers.

An interest in entrepreneurship often comes to a person just like that. However, this interest can be influenced by several factors, both external and internal factors. The aim of this research is to determine the influence of entrepreneurial knowledge, entrepreneurial motivation, e-commerce, and family environment on students' interest in entrepreneurship. The research method used is quantitative with a comparative causal nature. The research population used in this research were students of the Nusantara University PGRI Kediri Accounting study program class 2018-2023 using the sampling method, namely using the Slovin formula. The sample size in this study was 122 respondents and was collected through a questionnaire. Data obtained Data was collected through questionnaires and includes primary and secondary data. Validity test, reliability test, classical assumption test, coefficient of determination test, and hypothesis test are used in data analysis. The results of this study show that entrepreneurial knowledge (X1) has a significant effect on interest in entrepreneurship, entrepreneurial motivation (X2) has a significant effect on interest in entrepreneurship, e-commerce (X3) has no effect on interest in entrepreneurship, and family environment (X4) has a significant effect on interest in entrepreneurship. Based on the results of the analysis and conclusions, the suggestions that the author can convey are as follows: for future researchers, this can be used as a guide to determine the influence of interest in entrepreneurship and try to use other variables besides the variables used in this research, especially variables that are similar to e-commerce variables.

This research aims to explore how price and product quality influence purchasing decisions for Y.O.U cosmetics at Panda Lovely Jombang. Given the rapid growth of Indonesia's cosmetics market, Y.O.U has emerged as a local brand offering quality products at competitive prices. Panda Lovely, with its numerous branches across Java Island, is one of Y.O.U’s primary distributors. The study adopts a quantitative approach using associative methods, with data collected through questionnaires from 100 Panda Lovely Jombang customers. Multiple linear regression analysis was employed to examine the relationship between independent variables (price and product quality) and the dependent variable (purchase decisions). The findings reveal that both price and product quality, individually and combined, significantly impact purchasing decisions. Key factors influencing consumer choices include affordability, the alignment of quality with expected benefits, and product durability. This research offers valuable insights for both Panda Lovely managers and Y.O.U producers to refine marketing strategies that cater to consumer needs and preferences.

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.

The research focuses on identifying sell signals and buy signals in stock buying and selling transactions using technical analysis used by investors to achieve optimal profits. This study compares the influence of MACD and RSI indicators on sell signals and buy signals before and after using Islamic banking stocks listed on IDX. Next, to find out which indicator is more effective in identifying sell and buy signals. The research method used is quantitative with a descriptive research design . The data analyzed is secondary data obtained from data samples from PT. Bank Syariah Indonesia Tbk, PT. Bank BTPN Syariah Tbk, PT. Bank Panin Dubay Syariah Tbk, PT. Bank Aladin Syariah Tbk for the period 2018-2022. The result of the study is that there is no significant difference between sell signals and buy signals before and after the use of the Moving Avergence Convergence Divergence indicator and the Relative Strength Index indicator. Based on the t-test, each indicator states that using the RSI indicator has a positive value.

This study models the inflation rate in Sumatra using Generalized Linear Models (GLM) with Gamma and Negative Binomial distributions. The data includes inflation rates, Consumer Price Index (CPI), poverty rates, and employment sectors from the 2019 BPS report. The results show that the Gamma model performs better in predicting inflation compared to the Negative Binomial model, with a lower AIC value and smaller residual deviance. The CPI variable significantly influences inflation, while other variables are not significant.

Abstrak. Kualitas ekonomi di negara-negara Asia dipengaruhi oleh berbagai faktor sosial, keamanan, dan lingkungan yang kompleks. Penelitian ini menggunakan Generalized Linear Models (GLM), yaitu regresi Poisson dan Binomial Negatif, untuk menganalisis hubungan antara variabel-variabel seperti Governance, Social Capital, Safety and Security, Living Conditions, Education, dan Natural Environment terhadap tingkat kualitas ekonomi. Hasil analisis menunjukkan bahwa model Poisson menghadapi keterbatasan karena adanya overdispersion, yang tercermin dari nilai AIC yang tidak terdefinisi dan residual deviance yang relatif tinggi. Sebaliknya, model Binomial Negatif lebih efektif dalam menangani data dengan variansi lebih besar dari rata-rata, menghasilkan nilai residual deviance yang lebih rendah dan AIC yang lebih baik. Dalam model Binomial Negatif, variabel Social Capital terbukti signifikan dengan koefisien yang menunjukkan pengaruh positif terhadap kualitas ekonomi. Penelitian ini menegaskan bahwa model Binomial Negatif lebih cocok untuk memodelkan data kualitas ekonomi di kawasan Asia, dengan Social Capital sebagai variabel yang paling berpengaruh, yang akan memberikan wawasan yang berguna bagi pengambilan kebijakan untuk meningkatkan kualitas ekonomi di kawasan ini.

This article discusses the role of the government and strategies for strengthening the people's economy in empowering Micro, Small, and Medium Enterprises (MSMEs) in Purwokerto, particularly in the context of digitalization. MSMEs play a significant role in the local and national economy but face various challenges that affect their competitiveness. The Banyumas Regency government actively supports digital transformation through training and programs that enhance the digital skills of MSME actors. Additionally, financial literacy is also deemed crucial to help MSME actors manage finances and understand essential business aspects. This article aims to provide an in-depth understanding of the conditions of MSMEs in Purwokerto and the steps that can be taken to enhance their role in the local economy.