Penerapan Adaboost Berbasis Pohon Keputusan Guna Menentukan Pola Masuknya Calon Mahasiswa Baru
In general, the college admission process is done through registration, file selection, examinations, an announcement of the results of students who pass, and ends with re-registration. In this case, a problem was found where there is a significant decrease in the number of student who register with...
Main Author: | Nisa Hanum Harani |
---|---|
Format: | Article |
Language: | Indonesian |
Published: |
Universitas Semarang
2020-08-01
|
Series: | Transformatika |
Subjects: | |
Online Access: | https://journals.usm.ac.id/index.php/transformatika/article/view/1606 |
Similar Items
-
Metode Naive Bayes Dalam Menentukan Program Studi Bagi Calon Mahasiswa Baru
by: Wildani Eko Nugroho, et al.
Published: (2021-03-01) -
Komparasi Model Prediksi Daftar Ulang Calon Mahasiswa Baru Menggunakan Metode Decision Tree Dan Adaboost
by: Muhammad Naufal Rabbani, et al.
Published: (2021-01-01) -
MODEL REGRESI LOGISTIK ORDINAL UNTUK MENENTUKAN FAKTOR PENGAMBILAN KEPUTUSAN CALON MAHASISWA MEMILIH PROGRAM STUDI STATISTIKA
by: Achmad Fauzan
Published: (2018-07-01) -
Feature Learning Viewpoint of Adaboost and a New Algorithm
by: Fei Wang, et al.
Published: (2019-01-01) -
An SVM-Based AdaBoost Cascade Classifier for Sonar Image
by: Huipu Xu, et al.
Published: (2020-01-01)