Implementasi Model TAM pada Sistem Informasi Presensi Online Menggunakan Face Recognition dan GPS

Yusuf Wahyu Setiya Putra
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Abstract

This study aims to analyze system user acceptance of online attendance information systems with face recognition and GPS using the variables Perceived Ease of Use, Perceived Usefulness and Attitude toward Using contained in the TAM model. (Technology Acceptance Model). Respondents used as many as 45 people consist of teachers, teaching staff and students. Questionnaires were used to obtain data that had been tested for validity and reliability which were then analyzed using multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the variable Perceived Usefullness (X1) has a significant influence on the variable Attitude toward Using (Y) with a t count of 4.114 with a significance of p = 0.000 (<0.05). The variable Perceived Ease of Use (X2) has a significant effect on the variable Attitude Toward Using (Y) with t count 2.898 with a significant p = 0.010 (<0.05). The results of the analysis of the second regression equation show that the variables X1 and X2 together have a significant effect on Attitude toward Using (Y) because the statistical value F count = 23.556 with a significance p = 0.000 (<0.05).
利用人脸识别和 GPS 在在线考勤信息系统中实施 TAM 模型
本研究旨在利用TAM模型中包含的感知易用性、感知有用性和使用态度变量,分析系统用户对人脸识别和GPS在线考勤信息系统的接受程度。(技术接受模型)。受访者多达45人,包括教师、教职员工和学生。通过问卷调查获得经过效度和信度测试的数据,然后使用多元线性回归技术进行分析。第一个回归方程的分析结果显示,变量感知有用度(X1)对变量使用态度(Y)有显著影响,t计数为4.114,显著性p = 0.000(<0.05)。感知易用性变量(X2)对使用态度变量(Y)有显著影响,t计数为2.898,p = 0.010(<0.05)。第二个回归方程的分析结果显示,变量X1和X2共同对使用态度(Y)有显著影响,因为统计值F count = 23.556,显著性p = 0.000(<0.05)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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