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Technological developments play an important role in the audit process, one of which is the use of data analytics that are useful to assist auditors in analyzing data, collecting audit evidence, predicting risks that occur and will occur, and other things. The use of data analytics is also applied by public sector auditors to maintain accountability and responsibility for state finances. This study aims to examine the effect of using data analytics on indications of fraud for public sector examiners in Indonesia. Testing and data analysis techniques used STATA version 14, which processed answers from 33 auditors from two representative offices of public sector auditors in Java Province and Sumatra Province. The results of the study state that the use of data analytics has a positive and significant effect on indications of fraud for public sector examiners in the examination process. This means that public sector auditors can detect fraud using data analytics. Keywords: Audit Process; Public Sector Auditors; Data Analytics; Fraud Detection

In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.

 This study aims to examine the relationship between Leader-Member Exchange (quality of the direct leader-subordinate relationship) with Motivation and Commitment mediated by the Perception of Romance in the workplace. This analysis uses the dependent variable (commitment and motivation) and the independent variable (LMX (quality of direct superior-subordinate relationship) and perceptions of romantic relationships at work). The sampling method used in this study used a purposive sample distributed to all employees in the South Jakarta Area, with an unknown population and SEM sampling with the gameshow formula with a sample size of 100 respondents. The data analysis method in this study used Partial Least Square (PLS), with Smart PLS running on computer media. The results of this study show that all variables are valid and reliable. Thus, the superior-subordinate relationship also positively impacts the perception of romantic relationships in the workplace. Interestingly, LMX towards commitment and motivation mediated by perception of romantic relationship has a positive impact but is not significant. Therefore, this study suggests that the company arrange a clause or policy regarding the relationship between employees.

This research focus to investigate the effect of audit quality and financial constraint on the complementary level of financial and tax reporting aggressiveness. This research uses binary logistic regression to investigate the effect of audit quality and financial constraint on the complementary level of financial and tax reporting aggressiveness with a sample of 147 manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2017-2019. This research found that companies with good audit quality have a complementary level of financial and tax reporting aggressiveness that tends to be below. Also, companies that face financial constraints have a higher complementary level of financial reporting and tax aggressiveness. This study presents empirical evidence that supports the view of audit quality and financial constraint’s impact on the complementary level of financial and tax aggressiveness. Although there are many studies that discuss the relationship between financial and tax aggressiveness, there are still few studies that contribute to examine the determinants of the complementary level of financial and tax reporting aggressiveness in Indonesia.

This study examines the effect of tax incentives and corporate voluntary disclosure related to covid-19 on interim reports on firm value. This study tested the two independent variables using the dummy variable method. The provision of tax incentives related to Covid-19 is based on government policy. The company's voluntary disclosure of covid-19 in interim reports is based on notes to financial statements. The method used is purposive sampling. The number of samples obtained was 114 companies selected according to the research criteria in the 1st and 2nd quarter 2020 periods. This study used multiple regression analysis and panel data. The results show that the variable giving tax incentives related to Covid-19 negatively and significantly affects firm value. Meanwhile, the variable company voluntary disclosure related to covid-19 in the interim report shows unidirectional results, but has no effect on firm value.

In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.

 This study aims to examine the relationship between Leader-Member Exchange (quality of the direct leader-subordinate relationship) with Motivation and Commitment mediated by the Perception of Romance in the workplace. This analysis uses the dependent variable (commitment and motivation) and the independent variable (LMX (quality of direct superior-subordinate relationship) and perceptions of romantic relationships at work). The sampling method used in this study used a purposive sample distributed to all employees in the South Jakarta Area, with an unknown population and SEM sampling with the gameshow formula with a sample size of 100 respondents. The data analysis method in this study used Partial Least Square (PLS), with Smart PLS running on computer media. The results of this study show that all variables are valid and reliable. Thus, the superior-subordinate relationship also positively impacts the perception of romantic relationships in the workplace. Interestingly, LMX towards commitment and motivation mediated by perception of romantic relationship has a positive impact but is not significant. Therefore, this study suggests that the company arrange a clause or policy regarding the relationship between employees.

This study examines the effect of tax incentives and corporate voluntary disclosure related to covid-19 on interim reports on firm value. This study tested the two independent variables using the dummy variable method. The provision of tax incentives related to Covid-19 is based on government policy. The company's voluntary disclosure of covid-19 in interim reports is based on notes to financial statements. The method used is purposive sampling. The number of samples obtained was 114 companies selected according to the research criteria in the 1st and 2nd quarter 2020 periods. This study used multiple regression analysis and panel data. The results show that the variable giving tax incentives related to Covid-19 negatively and significantly affects firm value. Meanwhile, the variable company voluntary disclosure related to covid-19 in the interim report shows unidirectional results, but has no effect on firm value.

Technological developments play an important role in the audit process, one of which is the use of data analytics that are useful to assist auditors in analyzing data, collecting audit evidence, predicting risks that occur and will occur, and other things. The use of data analytics is also applied by public sector auditors to maintain accountability and responsibility for state finances. This study aims to examine the effect of using data analytics on indications of fraud for public sector examiners in Indonesia. Testing and data analysis techniques used STATA version 14, which processed answers from 33 auditors from two representative offices of public sector auditors in Java Province and Sumatra Province. The results of the study state that the use of data analytics has a positive and significant effect on indications of fraud for public sector examiners in the examination process. This means that public sector auditors can detect fraud using data analytics. Keywords: Audit Process; Public Sector Auditors; Data Analytics; Fraud Detection

This study aims to analyze the urgency of applying integrated financial and tax reports for MSME actors, using a cost and benefit analysis approach. The data used in this study is primary data. This study distributed questionnaires to 109 MSMEs in Indonesia. The data obtained were then analyzed using descriptive qualitative research methods. The results show that respondents' perceptions of MSMEs' benefits of using financial statements and taxes will be greater than the costs. Therefore, recommendations for making integrated financial and tax reporting applications can be urgently applied among MSMEs. Besides, the benefit analysis results with the most significant score is that MSMEs can make financial and tax reports on time. The application can find out the latest conditions of developments. Meanwhile, in terms of costs, the application requires quite a lot of expenses due to the use of the internet and the initial expenditure for purchasing mobile phones, applications if it is paid and other costs.