Putra, Gilang Kristanto (2021) Analisis Faktor Yang Memengaruhi Intention To Use Layanan Public Detection Covid 19 Menggunakan Pendekatan Utaut 2: Studi Kasus Alat Deteksi Covid 19 Berbasis Bau Keringat Ketiak. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Virus Corona (Sars Cov 2) menyebabkan wabah penyakit dan pandemi berkepanjangan yang menyebar keseluruh dunia. Virus Covid 19 menimbulkan dampak negatif kesehatan hingga kematian. Dalam mendeteksi seseorang terkena virus Covid 19 dapat dilakukan dengan tes PCR, antigen, maupun antibodi. Namun ketiga tes tersebut masih kurang dapat diterima oleh masyarakat karena harga yang lumayan tinggi, pelaksanaan kurang nyaman dan membuat takut, serta membutuhkan waktu lama. Sehingga terciptalah teknologi deteksi Covid 19 menggunakan AI (Artificiall Intelligent) yaitu I-Nose C-19. I-Nose C-19 merupakan alat deteksi Covid 19 melalui bau keringat ketiak. I-Nose C-19 masih dalam tahap pengembangan dan akan dilakukan komersialisasi dalam waktu dekat. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mendorong niat masyarakat dalam menggunakan alat deteksi Covid 19 I-Nose C-19 menggunakan pendekatan UTAUT 2. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik analisis data menggunakan Partial Least Square-Structure Equation Modelling (PLS-SEM). Penelitian ini dilakukan dengan survey online dan didapatkan 318 responden masyarakat Indonesia berusia diatas 17 tahun. Hasil penelitian ini menunjukkan bahwa performance expectancy, social influence, hedonic motivation dan trust memiliki pengaruh dalam mendorong niat masyarakat dalam menggunakan alat I-Nose C-19. Sedangkan effort expectancy, facilitating condition dan price value tidak memiliki pengaruh dalam mendorong niat menggunakan. Selain itu juga ditemukan bahwa variabel moderasi usia dan gender tidak memiliki pengaruh moderasi terhadap variabel lain.
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Corona virus (Sars Cov 2) caused a prolonged outbreak of disease and pandemic that spread throughout the world. The Covid 19 virus has had a negative impact on health until death. In detecting someone with the Covid 19 virus, it can be done with a PCR, antigen or antibody test. However, the three tests are still not acceptable to the community because the prices are quite expensive, uncomfortable testing and it takes quite a long time. Therefore, Covid 19 detection technology using AI (Artificial Intelligent) was created, named I-Nose C-19. I-Nose C-19 is a Covid 19 detection tool based axillary sweat odor. I-Nose C-19 is still in the development stage and will be commercialized in the near future. Therefore This study aims to identify the factors that drive the public's intention to use the I-Nose C-19 as Covid 19 detection tool using the UTAUT 2 approach. This study uses a quantitative approach with data analysis techniques using Partial Least Square-Structure Equation Modeling (PLS-SEM). This research was conducted using an online survey and found 318 Indonesian respondents aged over 17 years old. The results of this study indicate that performance expectancy, social influence, hedonic motivation and trust have an influence in encouraging people's intentions to use the I-Nose C-19. Meanwhile, effort expectancy, facilitating condition and price value have no influence in encouraging intention to use. In addition, it was also found that the moderating variables of age and gender did not have a moderating effect on other variables.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Niat Menggunakan, COVID 19, UTAUT 2, I-Nose C-19, Intention to Use, Covid 19, I-Nose C-19, UTAUT 2 |
| Subjects: | H Social Sciences > HB Economic Theory > HB801 Consumer behavior. Q Science > QA Mathematics > QA278.5 Principal components analysis. Factor analysis. Correspondence analysis (Statistics) R Medicine > RA Public aspects of medicine > RA644.C67 COVID-19 (Disease) |
| Divisions: | Faculty of Creative Design and Digital Business (CREABIZ) > Business Management > 61205-(S1) Undergraduate Thesis |
| Depositing User: | Gilang Kristanto Putra |
| Date Deposited: | 30 Jul 2021 02:44 |
| Last Modified: | 30 Jul 2021 02:44 |
| URI: | http://repository.its.ac.id/id/eprint/84583 |
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