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This study aims to analyze the relationship between the intensity of playing the online game Mobile Legends and the consumptive behavior of university students at Universitas PGRI Ronggolawe Tuban. The research was motivated by the growing phenomenon of digital consumption among students, particularly through virtual item purchases via microtransactions. A quantitative correlational approach was employed, using purposive sampling involving 40 active student players of Mobile Legends. Research instruments consisted of Likert-scale questionnaires measuring two main variables: gaming intensity (frequency and duration) and consumptive behavior (impulsive buying, wastefulness, and non-rational consumption). Data were analyzed using Spearman’s rho correlation test, revealing a positive and significant relationship between gaming intensity and consumptive behavior (r = 0.558; p < 0.05). These findings indicate that higher gaming intensity increases students’ tendency toward hedonic and symbolic digital consumption. The study highlights that students’ consumptive behavior in the digital era is shaped not only by economic factors but also by social influence, self-control, and emotional gratification. The research implies the need for enhanced digital financial literacy and self-regulation awareness among students to mitigate excessive consumptive behavior.

This study aims to analyze the influence of financial literacy, self-control, parental influence, peer influence, and income on students’ saving behavior in the Economic Education Study Program at Universitas PGRI Ronggolawe Tuban for the 2021–2024 cohort. A quantitative approach with an associative research design was applied. The population consisted of 173 students, and the sample was determined using Slovin’s formula with a total of 64 respondents. Data were collected through a Likert-scale questionnaire and analyzed using multiple linear regression with the assistance of SPSS, including classical assumption tests. The results reveal that financial literacy, parental influence, and income have a significant positive effect on saving behavior, while self-control and peer influence have a significant negative effect. The coefficient of determination (R²) is 0.724, indicating that 72.4% of the variation in students’ saving behavior can be explained by the independent variables, while the remaining 27.6% is influenced by other factors outside the model. These findings highlight that students’ saving behavior is shaped by the interplay of cognitive, psychological, social, and economic factors.