Analysis of Receiving Surveillance Information System for Public Health Centre (SISPHEC.ID Application) using Technology Acceptance Model (TAM) at Kuningan District, Indonesia

C. Heriana
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Abstract

One of the vigilance efforts against the next stage of the COVID-19 pandemic is the strengthening of surveillance information systems. The use of the Public Health Centres surveillance information system (Sisphec.id) is important in determining policies, but it needs to be tested for acceptance. The purpose of this study is to examine the use and acceptance of the Public Health Centre surveillance information system for COVID-19 with applications in Kuningan Regency. This research is a quantitative descriptive study, conducted in Kuningan Regency from October 26 to November 26, 2022. The population was 37 Public Health Centre surveillance officers and a sample of 20 respondents. Descriptive data analysis with Tableau public application and STATA 16. Result: perceived Ease of Use for applications is 85% is perceived as good, the perceived usefulness is 65% perceived as good, the social factor of users related to the application is 85% perceived, the behavioural interest variable for using the application is 90% is perceived as good, facility conditions affecting users, 90% perceived as good, usage behaviour 65% is perceived as good. The conclusion is most perceived as good for all TAM indicators namely Perceived Ease of Use, perceived usefulness, social factor variables of users, behavioural interest, and variable facility conditions affecting users and user behaviour. The recommended application sisphec.id can be used to support the Covid-19 surveillance system at Public Health Centre in Indonesia.
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公共卫生中心接收监测信息系统分析。ID申请)使用技术接受模型(TAM),印度尼西亚库宁安区
针对下一阶段COVID-19大流行的警惕工作之一是加强监测信息系统。使用公共卫生中心的监测信息系统(Sisphec.id)对于确定政策很重要,但需要对其进行接受性测试。本研究的目的是检查公共卫生中心COVID-19监测信息系统在库宁安县的使用和接受情况。本研究是一项定量描述性研究,于2022年10月26日至11月26日在昆宁安县进行。人口为37名公共卫生中心监测人员和20名抽样答复者。使用Tableau公共应用程序和stata16进行描述性数据分析。结果:感知应用程序的易用性为85%,感知有用性为65%,感知与应用程序相关的用户社会因素为85%,感知使用应用程序的行为兴趣变量为90%,感知使用应用程序的设施条件为90%,感知良好,感知使用行为为65%。结论被认为最适合所有TAM指标,即感知易用性,感知有用性,用户的社会因素变量,行为兴趣以及影响用户和用户行为的可变设施条件。推荐的应用程序是sisphec。id可用于支持印度尼西亚公共卫生中心的Covid-19监测系统。
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审稿时长
16 weeks
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