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All Journal International Journal of Health and Information System (IJHIS)
Prawidya Destarianto
Program Magister Fakultas Teknik Universitas Brawijaya
Computer Science & IT Health Professions Library & Information Science Medicine & Pharmacology Public Health

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The QoL of College Students and Its Impact on Stress Level: A Cross-Sectional Study Karimah, Rinda Nurul; Destarianto, Prawidya; Perwiraningrum, Dhyani Ayu; Ardianto, Efri Tri
International Journal of Health and Information System Vol. 2 No. 3 (2025): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v2i3.51

Abstract

The peak of vulnerability to behavioral and mental disorders occurs during college, making this a crucial time for development. College students have a worse quality of life (QoL) in terms of mental health compared to the general population. There is a need for information regarding QoL related to stress in students, as studies discussing QoL and stress in college students are still lacking. This study aims to analyze the relationship between QoL and stress levels in college students. A cross-sectional survey design was used in this study, involving 249 college students at higher education institutions in East Java, Indonesia. The data samples were collected based on demographic characteristics, using the QoL scale from WHOQOL-BREF and the Depression, Anxiety, and Stress Scale-21 to assess the correlation between QoL and stress levels among college students. The results showed that the stress levels of college students were classified as normal (54.6%), mild (17.3%), moderate (17.3%), severe (8.4%), and extremely severe (2.4%). A significant negative correlation was observed between all domains of QoL and stress: Physical (-0.630), Psychological (-0.658), Social Relationship (-0.564), and Environment (-0.584). These results indicate that as QoL increases, stress scores decrease. Attention should be paid to providing appropriate interventions related to college students' quality of life. Further research is needed to gather detailed information on existing QoL domains, particularly those focusing on students’ needs, current information developments, and demographic characteristics.
Diagnosis of Stroke and Diabetes Mellitus With Classification Techniques Using Decision Tree Method Pratama, Mudafiq Riyan; Suryana, Arinda Lironika; Alfiansyah, Gamasiano; Olivia, Zora; Nurmawati, Ida; Destarianto, Prawidya
International Journal of Health and Information System Vol. 2 No. 1 (2024): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v2i1.36

Abstract

: Stroke is a cerebral vascular disease characterized by the death of brain tissue that occurs due to reduced blood and oxygen flow to the brain. Ischemic stroke is associated with diabetes mellitus, therefore it is important to identify the risk factors that cause stroke and DM by diagnostic cause of the disease. This study aimed to classify and compare accuracy tests on medical record data sets for stroke and DM. This study analyzed the diagnosis of stroke and DM using Decision Tree. The risk factors consisted of gender, age, blood pressure, nutritional status, smoking, history of DM, and history of hypertension. The results of the analysis using the Decision Tree method showed that the accuracy rate was 86.67%, which means that the modeling has a good level of correctness of the prediction results. We conclude that the Decision Tree method was an accurate method for detecting stroke and DM.
Co-Authors Alfiansyah, Gamasiano Ardianto, Efri Tri Ida Nurmawati, Ida Olivia, Zora Perwiraningrum, Dhyani Ayu Pratama, Mudafiq Riyan Rinda Nurul Karimah, Rinda Nurul Suryana, Arinda Lironika