Acceptance Analysis of Silacak Version 3.0 Based on The Technology Acceptance Model (TAM) in Surabaya City

• Published in: E3S Web of Conferences Vol. 359; p. 5010
• Main Authors: Alifia Nikmaturrochmah, Putri, Handayani, Dwi, Ibad, Mursyidul, Hakim Zakkiy Fasya, Abdul
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 2022
• Subjects: Acceptance; Contact tracing; Coronaviruses; COVID-19; Criteria; Data analysis; Health care; Primary care; Random sampling; Sampling; Sampling methods; Signs and symptoms; Statistical sampling; Surveillance systems; Technology Acceptance Model; Technology utilization
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/202235905010

Tracing is one of the points in 3T that is highlighted in the Covid-19 response. This tracing activity is very important because confirmed cases can transmit the disease from 2 days before to 14 days after the onset of symptoms. In November 2020 the Ministry of Health created an information system to strengthen the surveillance system in tackling Covid-19, especially in contact tracing activities called Silacak. This study aims to analyze the acceptance of the Silacak version 3.0 application based on the Technology Acceptance Model (TAM) theory at the Surabaya City Primary Health Care. This research method is descriptive quantitative with a cross sectional approach. The sample in this study were tracing officers at the Surabaya City Primary Health Care with a total of 55 respondents. The sampling technique used was cluster random sampling. Data analysis in the form of univariate analysis. The results showed that perceived convenience was in good criteria (100%), perceived usefulness in good criteria (92.7%) and in sufficient criteria (7.3%), user attitudes in good criteria (94.5%) and in sufficient criteria (5.5%), behavioral interest in good criteria (100%). The conclusion of this study is that the acceptance of the Silacak application in Covid-19 contact tracing activities based on the technology acceptance model (TAM) theory in Surabaya City is considered good. Which means that tracing officers have accepted the Silacak application well to assist in contact tracing activities. To maintain good acceptance of the Silacak application, it is hoped that the development of the Silacak application will continue to be carried out so as to minimize the occurrence of system errors.