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@article{J.Gauss46812, author = {Ratu Bunga Prawesti Salim and Alfisyahrina Hapsery and Maria Trifonia Diwus}, title = {KLASIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI KEMAMPUAN NUMERASI SISWA DI SDK SURABAYA MELALUI MEDIA PEMBELAJARAN ULAR TANGGA DENGAN METODE REGRESI LOGISTIK BINER DAN SVM}, journal = {Jurnal Gaussian}, volume = {14}, number = {1}, year = {2025}, keywords = {Numeracy Skills; Educational Games; Binary Logistic Regression; Support Vector Machine}, abstract = { Elementary education is crucial in developing students' cognitive abilities, particularly numeracy skills essential for mathematics and daily life. Despite a curriculum designed to enhance numeracy, many students struggle with basic arithmetic concepts. Effective and engaging teaching methods, such as educational games, are needed. The Kampus Mengajar program, part of the Merdeka Belajar Kampus Merdeka (MBKM) policy, involves university students in elementary school learning, including at SDK St. Aloysius Surabaya. In this program, the snakes and ladders game serves as an educational tool to improve students' numeracy skills in a fun and interactive way. This study examines factors influencing and classifying students' numeracy abilities using Binary Logistic Regression and Support Vector Machine (SVM). The results show that binary logistic regression identifies three significant variables: gender, learning media quality, and usage frequency, with 84.06% accuracy. Meanwhile, the SVM model with an RBF kernel function achieves 92.31% accuracy. These findings highlight the importance of educational games in teaching strategies, demonstrating that SVM-based models can effectively enhance numeracy skills . }, issn = {2339-2541}, pages = {85--96} doi = {10.14710/j.gauss.14.1.85-96}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/46812} }
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