Sistem Informasi Identifikasi Faktor yang Mempengaruhi Prestasi Siswa MAN Karo Menggunakan Pendekatan Data Mining

Student academic achievement is a key indicator of learning success and is influenced by various internal factors (such as motivation, learning style, and attendance) as well as external factors (such as parental support and learning facilities). This study aims to identify the main factors that determine students academic achievement by implementing a web-based information system using the Apriori algorithm. The study applied a quantitative descriptive approach using data from 300 students of MAN Karo, collected through questionnaires and academic records. The Apriori algorithm was implemented with a minimum support threshold of 0.05 and a minimum confidence threshold of 0.6, producing 1,621 association rules. The results indicate that a combination of internal and external factors is strongly associated with high academic achievement. The strongest association rule shows that students who attend tutoring classes tend to achieve high report card scores (?85) and have complete learning facilities, with a confidence value of 67.6% and a lift ratio of 3.12. Overall, internal factors such as motivation (77.33%) and high attendance (63.67%), along with external factors including parental support, learning facilities, and tutoring participation, significantly contribute to improving students academic performance. These findings demonstrate that the Apriori algorithm can effectively support schools in identifying dominant academic factors and can be used as a basis for data-driven decision making.