Widianti, Erlita Setio (2024) Deteksi Stres pada Sosial Media Reddit Menggunakan Metode Gated Recurrent Unit (GRU). Undergraduate thesis, Universitas Muhammadiyah Malang.
PENDAHULUAN.pdf
Download (1MB) | Preview
BAB I.pdf
Download (203kB) | Preview
BAB II.pdf
Download (238kB) | Preview
BAB III.pdf
Restricted to Registered users only
Download (312kB) | Request a copy
BAB IV.pdf
Restricted to Registered users only
Download (623kB) | Request a copy
BAB V.pdf
Restricted to Registered users only
Download (179kB) | Request a copy
POSTER.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
Abstract
Mental disorders, particularly stress, are a serious issue in the medical field, including in Indonesia. Research indicates that about 9.8% of 51,547 respondents across 21 countries experience anxiety disorders, with inadequate treatment in low-income countries. Stress often serves as an early stage of various mental illnesses, such as depression, and arises from individuals' interactions with their social and biological environments. The use of social media, especially the Reddit platform, can exacerbate stress, particularly among teenagers and young adults. This study aims to develop a Gated Recurrent Unit (GRU)-based method to analyze user posts on Reddit for stress detection. The results show that the GRU model using the AdamW optimizer achieved an accuracy of 84%, higher than the 82% accuracy obtained with the Adam optimizer. This model demonstrates significant capability in detecting stress from social media text, with stable performance and effectiveness in addressing overfitting issues. These findings are expected to provide deeper insights into the relationship between stress and social media usage.
Item Type: | Thesis (Undergraduate) |
---|---|
Student ID: | 202010370311369 |
Keywords: | Stress Detection, Social Media, Reddit, FastText, Gated Recurrent Unit |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Engineering > Department of Informatics (55201) |
Depositing User: | 202010370311369 erlitawidianti09 |
Date Deposited: | 21 Jan 2025 05:00 |
Last Modified: | 21 Jan 2025 05:00 |
URI: | https://eprints.umm.ac.id/id/eprint/13941 |