Pemodelan Kecenderungan Kecemasan Dan Stres Mahasiswa FSAD ITS Berdasarkan Intensitas Penggunaan Media Sosial Dengan Model Regresi Logistik Biner Bivariat

Hanifah, Mochammad (2026) Pemodelan Kecenderungan Kecemasan Dan Stres Mahasiswa FSAD ITS Berdasarkan Intensitas Penggunaan Media Sosial Dengan Model Regresi Logistik Biner Bivariat. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kesehatan mental mahasiswa merupakan aspek penting yang dapat memengaruhi keberhasilan akademik dan kualitas hidup. Meningkatnya penggunaan media sosial di kalangan mahasiswa berpotensi menimbulkan adiksi yang berdampak pada kondisi psikologis, seperti kecemasan (anxiety) dan stres (stress). Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi kecenderungan mahasiswa mengalami kecemasan dan stres secara simultan menggunakan regresi logistik biner bivariat. Data yang digunakan merupakan data sekunder yang diperoleh melalui Institut Teknologi Sepuluh Nopember Student Mental Health Survey yang diselenggarakan oleh Departemen Statistika Institut Teknologi Sepuluh Nopember. Tingkat adiksi media sosial diukur menggunakan instrumen Bergen Social Media Addiction Scale (BSMAS), sedangkan kecemasan dan stres diukur menggunakan Depression Anxiety Stress Scale-21 (DASS-21). Analisis dilakukan melalui analisis faktor untuk dimensi instrumen BSMAS, uji independensi, serta pemodelan regresi logistik biner bivariat menggunakan metode Maximum Likelihood Estimation (MLE) dengan algoritma Broyden Fletcher Goldfarb Shanno (BFGS). Pengujian parameter dilakukan menggunakan Likelihood Ratio Test dan uji Wald pada taraf signifikansi 5%. Hasil penelitian menunjukkan bahwa terdapat pengaruh signifikan variabel gender dan departemen terhadap kecenderungan mengalami kecemasan dan stres. Evaluasi model menunjukkan bahwa model kecemasan memiliki nilai accuracy sebesar 75,25%, sedangkan model stres memiliki nilai accuracy sebesar 67,33%. Selain itu, mahasiswa perempuan memiliki peluang mengalami kecemasan sebesar 2,19 kali dan mengalami stres sebesar 2,01 kali dibandingkan mahasiswa laki-laki. Hasil penelitian ini menunjukkan bahwa gender dan departemen merupakan faktor yang berperan dalam kecenderungan mahasiswa mengalami kecemasan dan stres, sehingga diperlukan upaya promotif dan preventif untuk mendukung kesehatan mental mahasiswa.
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Mental health among university students is an important aspect that can influence academic achievement and overall quality of life. The increasing use of social media among students has the potential to lead to social media addiction, which may adversely affect psychological conditions such as anxiety and stress. This study aims to analyze the factors influencing students' tendencies to experience anxiety and stress simultaneously using bivariate binary logistic regression. The study employed secondary data obtained from the Institut Teknologi Sepuluh Nopember (ITS) Student Mental Health Survey, conducted by the Department of Statistics, Institut Teknologi Sepuluh Nopember. The level of social media addiction was measured using the Bergen Social Media Addiction Scale (BSMAS), while anxiety and stress were assessed using the Depression Anxiety Stress Scale-21 (DASS-21). The analysis included factor analysis of the BSMAS dimensions, an independence test, and bivariate binary logistic regression modeling using the Maximum Likelihood Estimation (MLE) method with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm. Parameter estimation was evaluated using the Likelihood Ratio Test and the Wald test at a 5% significance level. The results indicate that gender and department have significant effects on students' tendencies to experience anxiety and stress. Model evaluation showed that the anxiety model achieved an accuracy of 75.25%, while the stress model achieved an accuracy of 67.33%. Furthermore, female students were 2.19 times more likely to experience anxiety and 2.01 times more likely to experience stress than male students. These findings suggest that gender and academic department are important factors associated with students' tendencies to experience anxiety and stress. Therefore, promotive and preventive efforts are needed to support and improve students' mental health.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kecemasan, Stres, Mahasiswa, Regresi Logistik Biner Bivariat, Maximum Likelihood Estimation Anxiety, Stress, Students, Bivariate Binary Logistic Regression, Maximum Likelihood Estimation, Social Media Addiction.
Subjects:	B Philosophy. Psychology. Religion > BF Psychology B Philosophy. Psychology. Religion > BF Psychology > BF318 Learning, Psychology of (Deep learning) B Philosophy. Psychology. Religion > BF Psychology > BF441 Critical thinking
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Mochamad Rizki Hanifah
Date Deposited:	05 Aug 2026 04:42
Last Modified:	05 Aug 2026 04:42
URI:	http://repository.its.ac.id/id/eprint/143952

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