The Implementation of Restricted Boltzmann Machine in Choosing a Specialization for Informatics Students
نویسندگان
چکیده
Choosing a specialization was not an easy task for some students, especially those who lacked confidence in their skill and ability. Specialization tertiary education became the benchmark key to success students’ future careers. This study conducted provide learning outcomes record, which showed classification Informatics students by using data from of 2013-2015 had graduated. The total 319 students. method used this Restricted Boltzmann Machine (RBM). However, imbalanced class distribution because number each field differed greatly. Therefore, SMOTE added classify class. accuracy obtained combination RBM 70% with 0.4 mean squared error.
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ژورنال
عنوان ژورنال: JOIN (Jurnal Online Informatika)
سال: 2023
ISSN: ['2528-1682', '2527-9165']
DOI: https://doi.org/10.15575/join.v8i1.917