
Designing determination of procrastination level in students utilize genetic algorithms method in data mining classification
Author(s) -
Susi Syamsiah,
Elfitria Wiratmani,
Erlando Doni Sirait
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1175/1/012052
Subject(s) - procrastination , task (project management) , genetic algorithm , computer science , similarity (geometry) , chromosome , test (biology) , data mining , artificial intelligence , machine learning , psychology , social psychology , engineering , image (mathematics) , paleontology , biochemistry , chemistry , systems engineering , biology , gene