This research aims to investigate effective conflict management strategies in the context of human resource management (HR) work teams. Conflict in the workplace, especially in HR teams, can be a significant challenge that affects productivity and harmony among team members. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of conflict management strategies in human resource management work teams has a significant positive impact in improving harmonious and productive working relationships in the workplace. By implementing an open communication approach, teams can easily share information, express opinions, and resolve conflicts more effectively. Collaborative conflict resolution also allows team members to work together to find a solution that is satisfactory for all parties involved, thereby reducing the possibility of larger conflicts arising in the future. Additionally, through developing communication skills, team members can improve their ability to listen, express thoughts clearly, and understand others' perspectives, all of which are important aspects of managing conflict wisely.

Human resources are the most important asset in an organization, and an important factor in employee performance plays an important role in optimizing their contribution. Companies need training programs and an understanding of SOPs so they tend to be better prepared to carry out their duties. In this case, the Company's target was not achieved and the Company assessed that employee performance had decreased. This research aims to measure the significant influence of training and implementation of SOPs on the performance of Prima Freshmart employees. The results of hypothesis testing and multiple linear regression show that employee training and implementation of SOPs have a positive and significant impact on improving employee performance at Prima Freshmart, Bogor City. The value of the Coefficient of Determination (Adj R2) is 0.826, which means that this indicates that the contribution of the independent variables, namely Employee Training and SOP, to the dependent variable, namely Employee Performance, is 82.6%, while the remaining 17.4% is influenced by other variables that have not yet been determined. researched or not included in the regression in this study.

This study aims to analyze the effect of location, service quality, and store atmosphere on purchasing decisions at Gedoh Coffee Singojuruh, both simultaneously and partially. The population in this study were consumers who made purchases at Gedoh Coffee Singojuruh. The sampling method used is non probability sampling, data collection using accidental sampling. Data is collected by observation, questionnaires, interviews, and documentation. Where sampling is 40 respondents. This type of research is quantitative descriptive using multiple linear regression analysis, coefficient of determination, hypothesis testing, namely partial test (t test), and simultaneous test (F test), and classical assumption test, namely normality test, multicollinearity, and heteroscedasticity test.
 Based on the SPSS results obtained, the value of multiple linear regression analysis is 0.768, this means that the proportion of variation in the Purchasing Decision variable can be explained by the Location, Service Quality, and Store Atmosphere variables by 76.8%, while the remaining 23.3% is explained by other variables. The results of this study found that Location, Service Quality, and Store Atmosphere simultaneously have a positive and significant effect on Purchasing Decisions at Gedoh Coffee Singojuruh.

This research aims to examine and analyze the influence of job satisfaction, learning agility and work engagement on salespeople turnover intention in the automotive sector. This study uses a quantitative approach, collecting data from 113 respondents in a sample using questionnaires. Structural Equation Modeling - Partial Least Square (SEM-PLS) with SmartPLS 3.0 software was used for data analysis and hypothesis testing in this research.. The findings of research on turnover intention show that job satisfaction and learning agility have a direct and significant influence on turnover intention. Meanwhile, the results of research on employee engagement do not have a significant direct influence on turnover intention, and work engagement cannot mediate between job satisfaction and learning agility on sales force turnover intention in the automotive sector.

Smart City is an urban development paradigm that integrates information and communication technology to improve the quality of life of residents, efficient resource management and environmental sustainability. Architectural semiotic, as the embodiment of visual language in architecture, has an important role in creating a smart and sustainable environment. This research aims to explore the potential of architectural semiotic in realizing the Smart City concept. This research uses a qualitative approach with descriptive methods. The results of this research reveal that the potential of architectural semiotic in the Smart City concept can be optimized through steps such as literature study and concept analysis, use of modern technology, interdisciplinary collaboration, community participation, and development of design guidelines. By engaging architects, data scientists, engineers, and the public, and creating practical guidance, this research details how architectural semiotic can be effectively integrated in smart city development. It is hoped that these results will make a significant contribution in creating a smart, efficient, aesthetic and sustainable urban environment in accordance with Smart City principles.

This research aims to explore the role of Augmented Reality (AR) as a marketing medium in the context of the post-pandemic retail sector. This research adopts a quantitative approach using the SEM - PLS model. Data was obtained through an online survey using a Google Form-based questionnaire filled out by 100 respondents who had used the AR feature to purchase retail products more than twice. Research findings indicate that AR has great potential to increase customer satisfaction and influence consumer purchasing behavior in the post-pandemic retail sector. The implication of this research is that retail companies can utilize AR technology as an effective marketing tool to improve consumer experience, customer satisfaction and business growth. This research also contributes to the AR-based marketing literature, especially in the post-pandemic retail sector, which can be called "Augmented Retail Marketing". Thus, this research illustrates the important role of AR in shaping the future of retail marketing.

This study aims to find alternative ways to use digital technology to solve the problem of applying land and building taxes in deeds of sale and purchase. Real estate transfer tax is mandatory in notarized transaction contracts and is levied according to the law. The real estate transfer tax is composed of income tax, value added tax, sales tax on luxury goods and the fee for transferring the title deed. The tax is calculated according to the Regional Tax and Equalization Law and is based on the maximum value of the sale or transaction value of the taxable property. This leads to legal uncertainty, as there are many cases where the basis of calculation has been invented to reduce the tax due before the contract is signed. This leads to a great potential loss for the State if the calculation is based on the Regional Tax and Equalization Law. This study is a normative legal research using books, laws, articles and other legal materials. The results indicate that the basis for calculating property transfer tax in notarial transaction agreements should not be taken from the highest value between the Sales Value of the Taxable Object or transaction value, but rather from the fair market value. The Regional Tax and Retribution Law should be revised with the support of digitalization so that tax potential can increase.

In this study, the impact of the Loan to Deposit Ratio (LDR) on Return on Assets (ROA) in banks listed on the Indonesia Stock Exchange from 2015 to 2019 is to be examined. The information used in this study is secondary information. Three companies were collected as research samples after the sample was chosen using a purposive sampling technique from banking data obtained at the Indonesia Stock Exchange over a five-year period. Using documentation as a data collection tool. The traditional assumption test and the simple linear regression test are the analysis methods employed. The Pearson product moment correlation study indicates that the LDR and ROA have a positive and significant association, with a result of 0.748. While the results of simple linear regression analysis show a coefficient of determination (r2) of 0.560, this study's regression model can only account for 56% of the relationship between the independent variable LDR and the dependent variable ROA; the remaining 44% is determined by independent factors or variables unrelated to the study.

This research aims to determine the impact of social media promotions on purchasing decisions at Jetiga Ala Cafe. This research uses quantitative methods, with non-probability sampling techniques and sampling using accidental sampling. The population in this study was 188 cafe-style Jetiga Instagram followers with a sample size of 128 respondents used in this study. Based on the data obtained, the calculated t value is 10.196 with a significance of 0.000 <0.05. It can be concluded that social media promotion has a positive and significant effect on purchasing decisions, and based on the coefficient of determination test, the R Square value is 0.452 or 45.2% of the purchasing decision variable. influenced by social media promotions while the rest is influenced by other factors not discussed in this research.

The role of workers' organizations is significant for companies and employees because it impacts wage levels and employee productivity. This study aims to analyze the effect of workers' organizations on wage levels and the effect of workers' organizations and wage levels on work productivity in electronic companies. This research is a type of quantitative research where data is collected by sharing questionnaires with 200 employees who work in the electronics sector in West Java, Indonesia. Data analysis techniques used are descriptive statistics and structural equation modeling (SEM) using PLS.3 software. The results show that Workers' organization directly affects work productivity with significant (0.004 <0.05), Workers' organization directly affects wage level with significance (0.000 <0.05), Wage level directly affects work productivity with insignificant matter (0.986 >0.05), The indirect effect of Workers' organization on Work productivity is through Wage level. P Values are 0.986>0.05, and the impact is not significant.