The integration of Artificial Intelligence (AI) in education has introduced a more responsive and personalized learning approach. This study aims to examine the correlation between the intensity of AI usage and students’ learning outcomes. Employing a quantitative approach, the research utilized Pearson Product Moment correlation analysis. A total of 27 students, selected through purposive sampling and known to actively use AI in their learning process, participated in the study. Prior to the correlation analysis, the data underwent validity, reliability, normality, homogeneity, and linearity testing. The results confirmed that the instrument met the criteria for validity and reliability (Cronbach’s Alpha = 0.824), with data distribution being normal and homogeneous, and the relationship between variables being linear. The Pearson correlation coefficient of r = 0.583 with a significance value of p = 0.001 indicates a statistically significant and moderately strong positive relationship. These findings suggest that AI plays a meaningful role in enhancing students’ learning effectiveness. Therefore, it is essential to provide guidance and development efforts to ensure AI is utilized ethically and educationally to optimize its impact in academic settings.

This study aims to determine whether there is a significant difference in the influence of product reviews and ratings on purchase intention on e-commerce platforms based on age groups. The research used a quantitative approach with a comparative design. A total of 42 respondents participated, consisting of 21 individuals under the age of 25 and 21 individuals over the age of 25. Data were collected using a Likert-scale questionnaire covering three main aspects: product reviews, product ratings, and purchase intention. All 15 statements in the questionnaire were tested and found to be valid. Data analysis included validity testing, reliability testing, normality testing, and the Mann-Whitney U test to compare age groups. The results showed a significant difference between the two age groups regarding the influence of reviews and ratings on purchase intention. These findings indicate that age influences how individuals respond to evaluative information on e-commerce platforms. Therefore, digital marketing strategies should consider demographic differences to more effectively target diverse consumer groups.

Sales of goods and services are significantly impacted by fluctuations in the level of people's income. The community’s financial stability is crucial for the continuity of economic operations according to sharia principles in Islamic microeconomics. Islamic microeconomics does not only seek profit, but additionally aims to enhance the welfare of the people in a fair and sustainable manner. Because justice, brotherhood, and cooperation are elements that can offer options for fluctuations in human income. The object of this research is BTC Watampone. This study’s objective is to examine how changes in income impact the level of sales from an Islamic economic point of view. This study employs a literature review-based quantitative method, which relies on various library sources to gather the required information. The study’s findings indicate of this study show that the elasticity of sales volume in 2015 was Ep = 0.723, which indicates that Ep < 1 and sales volume is classified as inelastic. While the elasticity of sales volume in 2016 is Ep = 17.2, which indicates that Ep > 1 and sales volume is classified as elastic.