基于技术接受模型的偏最小二乘算法(PLS)在公共卫生中心管理信息系统(SIMPUS)用户分析中的应用

Sri Mulyono Mulyono, W. Syafei, Retno Kusumaningrum
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引用次数: 0

摘要

目的:医疗卫生中心最重要的信息系统应用是医疗卫生中心管理信息系统,也可以称为SIMPUS。SIMPUS是一个专门设计的应用程序,用于帮助促进患者数据的记录,在短时间内处理并将数据呈现为信息。对于SIMPUS应用程序,有必要检查该应用程序是否对用户在公共卫生中心或Puskesmas完成工作非常有帮助。因此,本研究的目的是将偏最小二乘(PLS)算法与技术接受模型(TAM)方法相结合,对SIMPUS应用用户进行分析。方法:采用偏最小二乘(PLS)算法和技术接受模型(TAM)方法相结合的方法对SIMPUS应用程序进行用户分析。使用的变量是感知有用性、感知易用性、使用态度、使用行为意图和实际系统使用。通过发放封闭式问卷和利用偿付能力公式进行抽样的数据收集技术。抽样采用多阶段随机抽样技术,每12个Puskesmas的数量从计算结果中确定40个样本。结果:从统计检验结果来看,感知有用性对易用性的影响程度最高,其检验值为3.6。此外,使用态度对行为使用意向的影响程度最低,测试值为1.2。价值:使用偏最小二乘(PLS)算法和技术接受模型(TAM)方法对影响SIMPUS应用程序用户接受程度的变量进行分析和测试,发现SIMPUS应用程序的接受程度受到应用程序可用性和易用性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partial Least Square Algorithm (PLS) with Technology Acceptance Model (TAM) in User Analysis of Public Health Center Management Information System (SIMPUS) Applications
Purpose: The most important information system application at the health center is the health center management information system or can be called SIMPUS. The SIMPUS is an application program specifically designed to help facilitate recording of patient data, processing and presenting data into information in a short time. With the SIMPUS application, it is necessary to examine whether the application is very helpful for users in completing work at the public health center or Puskesmas. Therefore, the purpose of this study is to analyze the SIMPUS application users by combining the Partial Least Square (PLS) algorithm with the Technology Acceptance Model (TAM) method.Methods: SIMPUS application user analysis is carried out using a combination of the Partial Least Square (PLS) algorithm with the Technology Acceptance Model (TAM) method. The variables used are Perceived Usefulness, Perceived Ease of Use, Attitude Towards Using, Behavioral Intention to Use, and Actual System Use. Data collection techniques by distributing closed questionnaires and taking samples with the solvency formula. Sampling was carried out using a multistage random sampling technique, the number of 12 Puskesmas in each Puskesmas from the calculation results determined 40 samples.Result: From the statistical test results, the effect of the perceived usefulness on the ease of use has the highest level of influence, which obtaining a test value of 3.6. Furthermore, the effect of the attitude towards using on the behavioral intention to use has the lowest level of influence, which obtaining a test value of 1.2.Value: Analysis and testing of variables that influence user acceptance of the SIMPUS application using the Partial Least Square (PLS) algorithm and the Technology Acceptance Model (TAM) approach, that acceptance of the SIMPUS application is influenced by the level of usability and ease of use of the application.
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