Safitri, Diana and Darmanto,, S.Si., M.Si. (2022) Analisis Jalur Terhadap Faktor-Faktor Yang Memengaruhi Kepatuhan Mahasiswa Dalam Pelaksanaan Vaksinasi Covid-19 Dan Penerapan Protokol Kesehatan (Studi Pada Mahasiswa Fmipa Universitas Brawijaya). Sarjana thesis, Universitas Brawijaya.
Abstract
Analisis jalur merupakan suatu metode yang digunakan untuk mengetahui 5 pengaruh yaitu langsung, tidak langsung, total, semu dan tidak teranalisis antar variabel bebas dengan variabel bebas lainnya maupun antar variabel bebas dengan variabel terikat. Tahun 2019 akhir, World Health Organization (WHO) mengumumkan adanya kasus Coronavirus Desease 2019 (COVID-19) di Wuhan, Cina dan di Indonesia pada tanggal 2 Maret 2020. Banyak langkah yang dilakukan pemerintah Indonesia untuk menekan angka COVID- 19 mulai dari penerapan protokol kesehatan COVID-19 sampai pelaksanaan vaksinasi COVID-19. Namun, tidak sedikit masyarakat Indonesia yang tidak menerapkan anjuran dari pemerintah tersebut. Tujuan penelitian ini untuk mengetahui faktor apa saja yang memengaruhi kepatuhan mahasiswa dalam pelaksanaan vaksinasi COVID-19 dan penerapan protokol Kesehatan. Terdapat lima variabel eksogen yang digunakan berdasarkan Health Belief Model (HBM), yaitu perceived susceptibility, perceived severity, health motivation, perceived benefits, dan perceived barriers. Teknik pengumpulan data dengan menyebarkan kuesioner secara online menggunakan google form pada mahasiswa Fakultas MIPA Universitas Brawijaya. Hasil analisis jalur menunjukkan bahwa besarnya keragaman data yang dijelaskan oleh model sebesar 81,5% sedangkan 18,5% sisanya dijelaskan oleh variabel lain yang belum terdapat dalam model. Variabel HBM yang memiliki pengaruh paling besar terhadap variabel kepatuhan mahasiswa melaksanakan vaksinasi COVID-19 yaitu variabel perceived severity. Perceived susceptibility merupakan variabel yang perlu dipertimbangkan dan perlu ditingkatkan karena memiliki pengaruh paling besar terhadap kepatuhan mahasiswa menerapkan protokol kesehatan COVID-19.
English Abstract
Path analysis is a method used to determine the 5 effects of direct, indirect, total, pseudo and not analyzed between independent variables with other independent variables and between independent variables with dependent variables. In late 2019, the World Health Organization (WHO) announced the existence of Coronavirus disease 2019 (COVID-19) cases in Wuhan, China and in Indonesia on March 2, 2020. There are many steps taken by the Indonesian government to reduce the COVID-19 number starting from the implementation of the COVID-19 health protocol to the implementation of the COVID-19 vaccination. However, not a few Indonesian people who do not implement the recommendations of the government. The purpose of this study was to determine what factors affect student compliance in the implementation of covid-19 vaccination and the implementation of Health protocols. There are five exogenous variables used based on the Health Belief Model (HBM), namely perceived susceptibility, perceived severity, health motivation, perceived benefits, and perceived barriers. Data collection techniques by distributing questionnaires online using google form to students of Faculty of mathematics and Natural Sciences Universitas Brawijaya. The results of path analysis showed that the amount of data diversity described by the model is 81.5% while the remaining 18.5% is explained by other variables that are not yet contained in the model. The HBM variable that has the greatest influence on the compliance variable of students carrying out covid-19 vaccination is the perceived severity variable. Perceived susceptibility is a variable that needs to be considered and needs to be improved because it has the greatest influence on student compliance implementing COVID-19 health protocols.
Item Type: | Thesis (Sarjana) |
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Identification Number: | 052209 |
Uncontrolled Keywords: | Analisis Jalur, COVID-19, Health Belief Model, Protokol Kesehatan, Vaksinasi, Path Analysis, COVID-19, Health Belief Model, Health Protocol, Vaccination. |
Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
Depositing User: | PKN 03 UB |
Date Deposited: | 08 Jun 2023 02:33 |
Last Modified: | 08 Jun 2023 02:33 |
URI: | http://repository.ub.ac.id/id/eprint/201146 |
Text (DALAM MASA EMBARGO)
DIANA SAFITRI.pdf Restricted to Registered users only until 31 December 2024. Download (3MB) |
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