<![CDATA[The implementation of Global Positioning System (GPS)-based attendance systems for Civil Servants (ASN) facilitates real-time location verification, but it also introduces the risk of location manipulation through fake GPS applications. This study analyzes ASN acceptance and satisfaction with the Mock Detector application as a supporting mechanism for attendance security using the Technology Acceptance Model (TAM) and the K-Means algorithm. A quantitative survey was conducted using questionnaires distributed to 53 ASN users of a GPS-based attendance system. The research variables were Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and User Satisfaction (US). TAM analysis was performed through instrument testing and multiple linear regression, while K-Means was applied to segment respondent characteristics. The results show that PU and PEOU have positive and significant effects on US. The regression model is US=0.132+0.645(PU)+0.393(PEOU), with an R Square of 0.712. Clustering produced three groups: Cluster 0 with 22 respondents, Cluster 1 with 23 respondents, and Cluster 2 with 8 respondents, representing low, moderate, and high acceptance levels, respectively. These findings indicate that perceived usefulness and ease of use are important factors in Mock Detector acceptance, while K-Means segmentation provides user-group characteristics that can support evaluation and improvement of the attendance system.]]>
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