Analisis Kesiapan Belajar Siswa Sekolah Dasar Berdasarkan Fasilitas Belajar di Rumah Menggunakan Metode Data Mining Naive Bayes

Abstrak

Learning readiness of elementary school students is an important factor in supporting the effectiveness of the learning process. One aspect that influences learning readiness is the availability of learning facilities at home, such as a study space, textbooks, stationery, and supporting learning media. This study aims to analyze the learning readiness of elementary school students based on home learning facilities using the Naive Bayes data mining method. The research data were collected through questionnaires distributed to students and their parents and then processed through preprocessing stages to ensure data quality. The Naive Bayes algorithm was applied to classify students’ learning readiness into ready and not ready categories based on the available home learning facilities. The results indicate that home learning facilities have an influence on students’ learning readiness, and the Naive Bayes algorithm is able to provide accurate classification results. This study is expected to serve as a reference for parents and schools in improving students’ learning readiness through the provision of adequate learning facilities at home.