Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan
Atha Zainum Muttaqin Muttaqin
Universitas Bina Insani, Bekasi, Indonesia
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
ALGORITMA RANDOM FOREST UNTUK KLASIFIKASI PENENTUAN LEVEL BELAJAR SISWA BARU DI NEW CONCEPT ENGLISH EDUCATION CENTRE Atha Zainum Muttaqin Muttaqin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10363

Abstract

The student learning level placement process at New Concept English Education Centre is still conducted manually through interviews and teacher observations, which may lead to subjectivity in class placement. This study aims to implement the Random Forest algorithm to classify the learning levels of new students and integrate it into a web-based decision support system. The study employed 1,522 student records consisting of age, school grade, placement test scores, and learning level labels. The research stages included data preprocessing, categorical data encoding, an 80:20 train–test split, Random Forest model training, evaluation using a confusion matrix and classification report, and implementation of the trained model into a web-based application. The evaluation results indicate that the Random Forest model achieved an accuracy of 85.57% in classifying student learning levels. The developed system supports a more consistent, objective, and efficient learning level placement process, thereby assisting teachers in determining appropriate class placement for new students.
Co-Authors