DEPRESSION ON THE MAIN CHARACTER AS REFLECTED IN THE MIDNIGHT LIBRARY NOVEL

DWI LESTARI, PUSPA (2022) DEPRESSION ON THE MAIN CHARACTER AS REFLECTED IN THE MIDNIGHT LIBRARY NOVEL. Strata 1 thesis, Universitas Teknorat Indonesia.

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Abstract

This research aims to discuss the depression suffered by Nora Seed; the main character in The Midnight Library novel by Matt Haig. The Midnight Library is a fiction novel where Matt Haig describes and tells the experience of depression suffered by Nora Seed. The objective of this study is to find and describe the symptoms of depressive cognition experienced by the main character and how she suffered the depression. This research used a descriptive qualitative method to analyze the data. The writer collected the data in the form of words, sentences, and dialogues from The Midnight Library novel as the main data. The journals and articles also used in this research as the supporting data. This research used psychology literature as the approach, and to find the result the writer used Depressive Cognition theory by Aaron T. Beck and Brad A. Alford (2009) and Characterization theory by Djasi (2000). The theory helps the writer to find the depressive cognition symptoms and depressive characterization experienced by the main character in the novel. There are two findings in this research. First, the four depressive cognition symptoms experienced by Nora Seed such as emotional symptoms, cognitive symptoms, motivational symptoms, and delusions. The second is the way Nora Seed suffered depression by showed her depressive characterization.

Item Type:	Thesis (Strata 1)
Uncontrolled Keywords:	Characterization, depression, symptoms, The Midnight Library
Subjects:	SASTRA INGGRIS SASTRA INGGRIS SASTRA INGGRIS > Literature (General) SASTRA INGGRIS > Literature (General) SASTRA INGGRIS > Literature (General) > Novel SASTRA INGGRIS > Literature (General) > Novel
Divisions:	Fakultas Sastra dan Ilmu Pendidikan > S1 Sastra Inggris
Depositing User:	Asep Haikal Kurniawan S.IP., M.A
Date Deposited:	27 Mar 2023 06:29
Last Modified:	27 Mar 2023 06:29
URI:	http://repository.teknokrat.ac.id/id/eprint/4489

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