Metode Korelasi sebagai Fitur Seleksi : Risiko Bunuh Diri dan Faktor-Faktor Terkait

Nisa, Kharisma Khairun (2025) Metode Korelasi sebagai Fitur Seleksi : Risiko Bunuh Diri dan Faktor-Faktor Terkait. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

According to WHO data for 2023, more than 720,000 deaths are reported each year. Suicide is the result of various risk factors, including mental disorders, history of suicide attempts, and unfavorable socio-economic conditions. This study aims to analyze the factors that influence suicide risk through a correlation analysis
approach. Using four correlation methods namely; Pearson,Spearman, distance, and partial correlation. This research will identify the pattern of relationship between suicide risk and related variables, then use the correlation method as a selection feature to improve the performance of the regression model. It is expected that the results of this study will not only provide insights into the significant relationships between suicide risk and existing risk factors, but also compare the effectiveness of each correlation method in the context of this study.

Item Type: Thesis (Undergraduate)
Student ID: 202110370311202
Keywords: Suicide Risk, Correlation Analysis, Pearson, Spearman, Distance, Partial, Regression.
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 202110370311202 kharismanisa
Date Deposited: 25 Jul 2025 03:16
Last Modified: 25 Jul 2025 03:16
URI: https://eprints.umm.ac.id/id/eprint/20358

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