Analisis Tingkat Stres Mahasiswa Menggunakan Metode Regresi Logistik Biner (Studi Kasus Mahasiswa Departemen Statistika Bisnis ITS)

Najla, Anjani Silmiya Ummi (2023) Analisis Tingkat Stres Mahasiswa Menggunakan Metode Regresi Logistik Biner (Studi Kasus Mahasiswa Departemen Statistika Bisnis ITS). Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tanggung jawab dan tuntutan kehidupan akademik pada mahasiswa dapat menjadi bagian stres yang biasa dialami mahasiswa. Academy stressor adalah stres yang dialami oleh mahasiswa bersumber pada proses pembelajaran atau yang berhubungan dengan kegiatan belajar. Tujuan penelitian ini adalah untuk mengetahui tingkat stres Mahasiswa Departemen Statistika Bisnis ITS menggunakan metode regresi logistik biner. Penelitian ini akan mengkaji variabel apa saja yang mempengaruhi tingkat stress Mahasiswa Departemen Statistika Bisnis ITS menggunakan metode regresi logistik biner. Responden diambil secara acak dari setiap angkatan 2018, 2019, 2020, dan 2021. Instrumen yang digunakan yaitu kuesioner yang terdiri dari data variabel yang diduga mempengaruhi stres mahasiswa dan pernyataan mengenai tingkat stres dengan Depression Anxiety and Stess Scale 42 (DASS 42). Manfaat yang diperoleh yaitu sebagai informasi tentang tingkat stres Mahasiswa Departemen Statistika Bisnis ITS dan variabel yang mempengaruhi serta dapat memberikan saran kepada pihak departemen bagaimana cara meminimalisir tingkat stres siswa Mahasiswa Departemen Statistika Bisnis ITS. Hasil yang diperoleh adalah dari enam belas variabel prediktor yang diduga berpengaruh terhadap tingkat stres mahasiswa terdapat tiga yang berpengaruh signifikan terhadap tingkat stres mahasiswa Departemen Statistika Bisnis ITS yaitu variabel tahun angkatan, variabel keikutsertaan organisasi, dan variabel prestasi non akademik.
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The responsibilities and demands of academic life on students can be part of the stress that students usually experience. Academy stressors are stress experienced by students sourced from the learning process or related to learning activities. The purpose of this study was to determine the stress level of ITS Business Statistics Department students using the binary logistic regression method. This research will examine what variables affect the stress level of ITS Business Statistics Department students using the binary logistic regression method. Respondents were randomly drawn from each batch of 2018, 2019, 2020, and 2021. The instrument used was a questionnaire consisting of variable data that allegedly influenced student stress and statements about stress levels with Depression Anxiety and Stress Scale 42 (DASS 42). The benefits obtained are as information about the stress level of ITS Business Statistics Department students and influencing variables and can provide advice to the department how to minimize the stress level of ITS Business Statistics Department students. The results obtained were from sixteen predictor variables that were suspected to affect student stress levels, there were three that had a significant effect on the stress levels of ITS Business Statistics Department students, namely the class year variable, organizational participation variable, and non-academic achievement variable.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Academy Stressor, Student Stress Levels, Binary Logistic Regression, Academy Stressor, Tingkat Stres Mahasiswa, Regresi Logistik Biner
Subjects:	Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Anjani Silmiya Ummi Najla
Date Deposited:	19 Jun 2023 07:27
Last Modified:	19 Jun 2023 07:27
URI:	http://repository.its.ac.id/id/eprint/98130

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