Muhammad Burhanuddin Fawwaz, Sudewantoro Nur Muhammad, Hukama’ Nur R, Novanda Nurhandini Putri, K. Renata
{"title":"Analisis Penerimaan Penggunaan Aplikasi Mobile PeduliLindungi dengan Menggunakan UTAUT","authors":"Muhammad Burhanuddin Fawwaz, Sudewantoro Nur Muhammad, Hukama’ Nur R, Novanda Nurhandini Putri, K. Renata","doi":"10.26486/jisai.v3i2.92","DOIUrl":null,"url":null,"abstract":"During the COVID-19 pandemic, it greatly af ected various sectors of life for all countries in the world, including Indonesia. With this in mind, the government has developed an m-health mobile application as a solution in reducing the spread of COVID-19, namely mobile-based PeduliLindung. The public is now required to use the PeduliLindung mobile application every time they visit public facilities. This research was conducted with the aim of analyzing what factors can have an influence on the acceptance of the use of the PeduliLindung mobile application by the public. The research method was carried out by observation and distributing questionnaires to respondents. After that, an analysis was carried out using the UTAUT (Unified Theory of Acceptance and Use of Technology) model and data processing using the Structural Equation Model Partial Least Square (SEMPLS) with the help of SmartPLS 3.0 software. In this study, the results showed that 4 variables namely Performance Expectancy (PE), Ef ort Expectancy (EE), Social Influence (SI) and Facilitating Condition (FC) had a significant positive effect on Behavioral Intention to Use (BIUS) and overall the four variables only able to explain the influence on Behavioral Intention to Use by 47.1%.","PeriodicalId":431246,"journal":{"name":"Journal Of Information System And Artificial Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal Of Information System And Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26486/jisai.v3i2.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
During the COVID-19 pandemic, it greatly af ected various sectors of life for all countries in the world, including Indonesia. With this in mind, the government has developed an m-health mobile application as a solution in reducing the spread of COVID-19, namely mobile-based PeduliLindung. The public is now required to use the PeduliLindung mobile application every time they visit public facilities. This research was conducted with the aim of analyzing what factors can have an influence on the acceptance of the use of the PeduliLindung mobile application by the public. The research method was carried out by observation and distributing questionnaires to respondents. After that, an analysis was carried out using the UTAUT (Unified Theory of Acceptance and Use of Technology) model and data processing using the Structural Equation Model Partial Least Square (SEMPLS) with the help of SmartPLS 3.0 software. In this study, the results showed that 4 variables namely Performance Expectancy (PE), Ef ort Expectancy (EE), Social Influence (SI) and Facilitating Condition (FC) had a significant positive effect on Behavioral Intention to Use (BIUS) and overall the four variables only able to explain the influence on Behavioral Intention to Use by 47.1%.
新冠肺炎疫情对包括印尼在内的世界各国人民生活的各个领域都产生了重大影响。考虑到这一点,政府开发了移动医疗移动应用程序,即基于移动的PeduliLindung,作为减少COVID-19传播的解决方案。现在,市民每次访问公共设施时都必须使用“PeduliLindung”移动应用程序。本研究的目的是分析哪些因素会影响公众对PeduliLindung移动应用程序的接受度。研究方法采用观察法和发放问卷的方式进行。之后,采用UTAUT (Unified Theory of Acceptance and Use of Technology)模型进行分析,并借助SmartPLS 3.0软件采用结构方程模型偏最小二乘(SEMPLS)进行数据处理。本研究结果表明,绩效期望(PE)、努力期望(EE)、社会影响(SI)和便利条件(FC) 4个变量对行为使用意愿(BIUS)有显著的正向影响,总体上这4个变量对行为使用意愿的影响仅为47.1%。