Open AccessDiagnosa Tingkat Depresi Mahasiswa Selama Masa Pandemi Covid-19 Menggunakan Algoritma Random Forest
Author(s) -
Dewi Septiani,
Ultach Enri,
Nina Sulistiyowati
Publication year - 2021
Publication title -
string (satuan tulisan riset dan inovasi teknologi)
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2549-2837
pISSN - 2527-9661
DOI - 10.30998/string.v6i2.10361
Subject(s) - covid-19 , random forest , depression (economics) , pandemic , government (linguistics) , officer , depressive symptoms , mental health , psychology , computer science , medicine , machine learning , psychiatry , geography , disease , anxiety , linguistics , philosophy , archaeology , infectious disease (medical specialty) , economics , macroeconomics