The development of digital technology has led to an increase in gadget use among elementary school students, including in areas with limited infrastructure and technology access, which has the potential to affect academic achievement. Uncontrolled gadget use can impact students’ concentration and learning habits. This study aims to analyze the effect of device usage behavior on the academic achievement of students at Tanjung Kurung State Elementary School using a binary logistic regression approach. Data were obtained from 51 students in the fourth, fifth, and sixth grades using questionnaires and documentation of report card scores from the first semester of the 2025/2026 academic year. The independent variables included usage duration, frequency, purpose, timing, content type, parental supervision, internet availability, device ownership, and concentration distractions. The resulting binary logistic regression model shows that the types of content accessed, parental supervision, and home internet availability had a significant partial effect on students' academic achievement. These three variables have a negative relationship with the probability of students achieving a top-10 ranking. The model explains 53.1% of the variation in academic achievement based on device usage behavior, with a classification accuracy rate of 86.27%. Based on the research findings, students’ use of electronic devices needs to be better guided, particularly regarding the types of content accessed, parental supervision, and internet use at home, to support improvements in their academic performance.