The study aims to investigate how students' ethical behavior is influenced by their levels of intellectual, emotional, and spiritual intelligence, with educational fraud serving as a moderating factor. In order to gather the primary data for this study, 232 accounting students from 64 universities in Indonesia were given questionnaires. The information analysis method used in this study is partial least squares (PLS) with structural equation modeling (SEM) utilizing SmartPLS 3 software. The results of this study show that while religious and intellectual intelligence have a large and favorable influence on educational fraud, emotional intelligence has no discernible effect. Spiritual intelligence has the power to impact college students' moral behavior in a way that highbrow intelligence and emotional intelligence do not. Academic fraud has a big impact on how pupils act morally. According to this analysis, students' ethical behavior with instructional fraud as an intervening variable is partially and significantly influenced by highbrow intelligence and non-secular intelligence; in contrast, students' ethical behavior without educational fraud as an intervening variable is not influenced by emotional intelligence.

This study intends to examine the relationship between brand equity, product quality, and service quality, as well as their partial and simultaneous effects on consumer satisfaction and loyalty. Path analysis is the data processing technique employed by researchers. 100 Vespa customers served as the sample for this study's respondents. Primary data were gathered as a consequence of respondents' responses to the questionnaires that were sent out. According to the findings from the first equation, brand equity, product quality, and service quality all have a simultaneous and partial impact on customer happiness. According to the study's findings, the variables of product quality, service quality, brand equity, and customer happiness have a simultaneous and partial impact on customer loyalty based on the second equation.

To create a good quality of generation, education must be carried out from an early age, in this case through Early Childhood Education (PAUD), namely education aimed at children from birth to the age of six. Quality education is not only seen from the quality of its graduates, but also includes how schools are able to meet customer needs in accordance with applicable quality standards. Principals are required to have the right leadership and strategy to increase the professionalism of teaching staff in their schools, so they are able to create a conducive school climate, provide advice to school members, provide encouragement to all teaching staff and implement an interesting learning model. In addition to carrying out its functions, the principal has the task of developing a strategy and mission so that he knows which way to go and knows how to get there in order to achieve the operational goals of an educational institution. In improving the quality of education the principal must improve the quality of a teacher in order to achieve a better quality of education. Make a program in one academic year, in the form of an annual program and a semester program. Adding infrastructure so that the teaching and learning process can run well.

In the era of technological trends, large statistics have been broadly carried out in diverse businesses, especially healthcare. An extensive amount of data has unfolded new gaps in fitness care. The immense facts in healthcare have the capability to improve healthcare to a higher level. Large records can correctly lessen healthcare problems such as the selection of the appropriate remedy, solution for healthcare, and enhancing the healthcare machine. There are six defining attributes in large data, namely, extent, range, speed, veracity, variability and complexity, and value. Massive information represents an expansion of possibilities that could enhance the performance of healthcare. The large data in healthcare should help in the advanced use of massive data analytics to gain valuable know-how. This large information analytics is used to get valuable facts from all types of sources in healthcare that may be used to take advantage of the data in order to make better choice in healthcare. The massive information analytics can enhance healthcare by discovering institutions and expertise styles and trends in scientific facts. Cardiovascular disorder datasets are massive data in healthcare, and they are used as part of facilitating the system of documenting scientific facts that must be analyzed to offer powerful answers to troubles in fitness care. This paper offers valuable statistics by using massive information analytics from clinical statistics of cardiovascular disease Importance of big data for healthcare and its usage in clinical statistics e108

The rapid advancement of technology also affects entrepreneurial activities. An entrepreneur will definitely update or follow any existing developments so that the business is not out of date. The transactions carried out also varied. These transaction activities certainly use a variety of payment instruments, ranging from cash to non-cash. A person's preference for something is related to the reasoning process that is built in explaining the reasons for his liking for something. Preference in this sense will certainly be related to a person's opportunity to achieve something he is interested in. This type of research is descriptive research. Descriptive research is research that includes data collection by testing hypotheses or answering questions about the latest status of research subjects. From the interviews that have been conducted, it can be interpreted that entrepreneurs who choose to use cash only think that using cash only can help, those who use cash state that if the use of cash payment is in the form of cash, the form of the money can be confirmed.