Correlational Study of Mental Health and Achievement Among University Students

Mental health is a state of mental well-being that enables individuals to cope with life pressures, realize their capabilities, learn effectively, work proficiently, and contribute to their communities. According to UNICEF Indonesia, several conditions that affect a person’s mental health, including anxiety, depression, panic, and stress. Data shows that 1 out of 3 Indonesian teenagers experience mental health issues. These issues have spurred the present research to analyze the correlation between students’ mental health and their academic performance on campus. This study focuses on examining the correlation between mental health and the grade point average (GPA) of accounting students at the Jakarta State Polytechnic (PNJ). The research used a combination of eXtreme Gradient Boosting (XGBoost) and Shapley Additive Explanations (SHAP). This approach facilitates the analysis of the correlation between mental health and GPA among students at PNJ. In addition to its research sample, this methodology also constitutes an innovative aspect of the study. Based on the research conducted, the correlation between mental health indicators such as stress, anxiety, and depression and a decline in students’ GPA is found to be low. However, in extreme cases, feelings of anxiety and stress exhibit a negative correlation with GPA reduction in students. Keywords: GPA, mental health, XGBoost, shap, correlation

Authors

Institutions

Publication Details

Journal
KnE Social Sciences
Published
2024-08-29
DOI
https://doi.org/10.18502/kss.v9i25.16959
Primary Topic
Student Stress and Coping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlational Study of Mental Health and Achievement Among University Students

Eva Zulfa Nailufar, ‎ Hafniza, Andira Qusnul Khotimah, Brian Aldrik Paembona
KnE Social Sciences
Student Stress and Coping
article

Correlational Study of Mental Health and Achievement Among University Students

Eva Zulfa Nailufar, ‎ Hafniza, Andira Qusnul Khotimah, Brian Aldrik Paembona
article en

Abstract

Mental health is a state of mental well-being that enables individuals to cope with life pressures, realize their capabilities, learn effectively, work proficiently, and contribute to their communities. According to UNICEF Indonesia, several conditions that affect a person’s mental health, including anxiety, depression, panic, and stress. Data shows that 1 out of 3 Indonesian teenagers experience mental health issues. These issues have spurred the present research to analyze the correlation between students’ mental health and their academic performance on campus. This study focuses on examining the correlation between mental health and the grade point average (GPA) of accounting students at the Jakarta State Polytechnic (PNJ). The research used a combination of eXtreme Gradient Boosting (XGBoost) and Shapley Additive Explanations (SHAP). This approach facilitates the analysis of the correlation between mental health and GPA among students at PNJ. In addition to its research sample, this methodology also constitutes an innovative aspect of the study. Based on the research conducted, the correlation between mental health indicators such as stress, anxiety, and depression and a decline in students’ GPA is found to be low. However, in extreme cases, feelings of anxiety and stress exhibit a negative correlation with GPA reduction in students. Keywords: GPA, mental health, XGBoost, shap, correlation

KnE Social Sciences
Jakarta State Polytechnic (ID)
Openalex Percentile: Top 82%
Student Stress and Coping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.