Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Bella Intan
Unknown Affiliation
Computer Science & IT

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

Found 1 Documents
Search

 1 
Prediksi Tingkat Stres Mahasiswa Berdasarkan Data Akademik dan Tugas Perkuliahan Menggunakan Algoritma Naïve Bayes Bella Intan
JATISI Vol 13 No 2 (2026): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v13i2.17030

Abstract

Academic stress is one of the most common challenges faced by university students due to academic demands, assignment workloads, and various psychological and environmental factors. This study aims to develop a model for predicting student stress levels using the Naïve Bayes algorithm based on psychological, health, and environmental data. The dataset consists of 1,100 records with 21 attributes, including anxiety level, self-esteem, depression, sleep quality, study load, social support, and other factors related to student stress. The research methodology includes data collection, data preprocessing, descriptive statistical analysis, data splitting into training and testing sets, and classification model development using the Naïve Bayes algorithm.
Co-Authors