This research aims to analyze the influence of communication competence, organizational culture, and professionalism of public relations officers on the quality of public service in the era of artificial intelligence. The study employs a quantitative method through descriptive analysis, and data collection is conducted online by distributing questionnaires using the Microsoft Forms platform with a Likert scale ranging from 1 to 5. Purposive Sampling is used as the sampling technique, and a total of 100 respondents aged 17-30 who have undergone internship or are currently employed were obtained. The data is processed using the SmartPLS application program with SEM. The research findings indicate that communication competence has a significant impact on the quality of public service. When someone chooses words carefully and treats others with courtesy, it can build trust, respect, and comfort in social interactions. Organizational culture also plays a crucial role in the quality of public service by fostering trust, mutual respect, and cooperation among employees. The study concludes that the professionalism of PROs influences the quality of public service. If the professionalism of PROs improves, the level of service quality will be high, and conversely, if it decreases, the level of service quality will also decline..
 
 
 

This research aims to determine the influence of Income Expectations, Entrepreneurship Education, and Family Environment on students' Entrepreneurial Interests. The research method used is a quantitative approach. The research sample consisted of students from various universities taken randomly (Random Sampling). The maximum number of respondents obtained was 200 people. Data analysis was carried out using an outer model (Outer Model) which includes calculations of Convergent Reliability, Discriminant Validity, Composite Reliability, Cronbach's Alpha, as well as an inner model (Inner Model) which involves calculating T, R-Square and f-Square statistics. For data analysis, the SmartPLS (Partial Least Square) tool version 4.0.9.3 was used. The research results show that Income Expectations (X1) have a positive and significant influence on Entrepreneurial Interest (Y). Entrepreneurship Education (X2) also has a positive influence on Entrepreneurship Interest (Y), while Family Environment (X3) has a positive and significant influence on Entrepreneurship Interest (Y). Apart from that, together, Income Expectations, Entrepreneurship Education and Family Environment have a positive and significant effect on Students' Entrepreneurial Interest.
 
 

The aim of this research is to analyze the influence of variables (X1) entrepreneurship education, (X2) family environment, (X3) entrepereneurial motivation on (Y) students’ entrepeneurial intentions. The type of research used is a quantitative method with descriptive analysis. The data collection technique was carried out by distributing questionnaires using a Likert scale of one to five. The total sample was 134 respondents with the criteria being students who were/had studied entrepeneurship education. Entrepreneurship education. The data analysis techniques used in this research are: Outer Model with calcculations of Convergent Reliability, Discriminant Validity, Composite Realibility, Cronbach’s Alpha and Inner Model with calculations of T statistics, R-Square, f-Square, VIP and Path Coefficient using SmartPLS tools (Partial Least Square) version 4.0.9.3. The research results show that: (X1) Entrepreneurship education has positive and significant effect on students’ entrepreneurial intentions (Y). (X2) The family environment has a positive and significant effect on students’ entrepreneurial motivation has a positive and significant effect on students’ entrepreneurial intentions (Y). Recommendations for future researchers are to use other variables such as income expecctation variables and so on