Decision Support System Modeling For Mental Health Diagnosis Using The Fuzzy Weighting Product Method
DOI:
https://doi.org/10.33197/jitter.vol9.iss1.2022.960Keywords:
decision support system, fuzzy weighting product, mental health, studentAbstract
Mental health services are urgently needed after the Covid-19 pandemic, WHO stated that the mental health crisis that is happening in the world is increasing due to the Covid-19 pandemic. The impact on people's mental health is in the form of stress, anxiety, depression and trauma. so that an increase in the need for mental health services is needed. Health services at Budi Luhur University are available but have not used a decision support system with the fuzzy weighting product method in making an initial diagnosis. Given the limited number of counselors/psychologists compared to the number of students. For this reason, a decision support system model is needed to carry out an initial diagnosis of student mental health so that it can facilitate counselors/psychologists in conducting clinical services. The results of the study show that modeling a decision support system using the fuzzy weighting product method can be used to perform an initial diagnosis in recommending the mental health level of students.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Nawindah Nawindah
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply the article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-SA 4.0.