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This study aims to determine the effect of the SIMAK task-technology fit factor on lecturers' assignments at Tridinati University, Palembang. This study used a sample of 124 respondents. The data collection method used questionnaires both offline and online. The data analysis technique used is PLS-SEM analysis. The results of this study indicate that the characteristics of task have an effect on task-technology fit, as evidenced by the t-statistic value which is greater than the t-table value of 13.622. In addition, the influence of the variable on the technology fit task model is 51.2%, so based on this it can be concluded that SIMAK Online acceptance has been accepted by users.

journal of computer and information systems ampera

Analisis Faktor Kesesuaian pada Teknologi SIMAK Dengan Tugas Dosen Menggunakan Model Task Technology Fit (Study Kasus: Universitas Tridinati Palembang)