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dc.contributor.advisorBudiman, Mohammad Andri
dc.contributor.advisorElveny, Marischa
dc.contributor.authorKusuma, Diah Puja
dc.date.accessioned2026-01-13T08:10:47Z
dc.date.available2026-01-13T08:10:47Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/112194
dc.description.abstractData were collected through a questionnaire from 500 respondents, using the DASS-21 instrument to measure mental health, as well as questions related to the frequency, duration, and purpose of ChatGPT use (schoolwork, entertainment/personal). Statistical analysis included descriptive analysis, instrument validity and reliability tests (Cronbach's Alpha > 0.900), and multiple linear regression. ChatGPT use for schoolwork was consistently positively correlated with depression, anxiety, and stress. Conversely, frequency of use in the past 7 days and use for entertainment/personal tended to be negatively or not significantly related to DASS-21 scores, except for entertainment/personal use which was significantly positive for depression. Duration of use per day was significantly positively related to depression and stress, but not significantly for anxiety. Academic use has the potential to increase the risk of depression, anxiety, and stress, while more frequent use in general or for entertainment/personal may have different effects. The results showed that ChatGPT use variables significantly predicted levels of depression, anxiety, and stress (R-squared 0.049-0.200). This research highlights the complexity of the impact of generative AI on Gen-Z's mental health and emphasizes the need for responsible use of AI.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectChatGPT Usageen_US
dc.subjectGen-Z Mental Healthen_US
dc.subjectDepressionen_US
dc.subjectAnxietyen_US
dc.subjectStressen_US
dc.subjectDASS- 21en_US
dc.subjectMultiple Linear Regressionen_US
dc.titlePendekatan Data Driven dalam Model Regresi Pengaruh Penggunaan Chatgpt terhadap Emosional Gen-Zen_US
dc.title.alternativeA Data-Driven Approach in a Regression Model of the Effect of Chatgpt Use on Gen-Z Emotionsen_US
dc.typeThesisen_US
dc.identifier.nimNIM237056014
dc.identifier.nidnNIDN0008107507
dc.identifier.nidnNIDN0127039001
dc.identifier.kodeprodiKODEPROD49302#Sains Data dan Kecerdasan Buatan
dc.description.pages76 Pagesen_US
dc.description.typeTesis Magisteren_US
dc.subject.sdgsSDGs 3. Good Health And Well Beingen_US


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