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ABSTRAKPenelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi
minat untuk menggunakan sistem e-learning. Faktor-faktor tersebut adalah sikap
untuk menggunakan, persepsi kegunaan, persepsi kemudahan, pengaruh sosial,
kondisi fasilitas dan kecemasan pada pekerja kerah biru di PT Frisian Flag
Indonesia. Pendekatan Structural Equation Modelling dengan menggunakan
perangkat lunak Lisrel digunakan untuk mengidentifikasi faktor-faktor mana yang
memiliki pengaruh positif dan signifikan. Data diperoleh dari 391 pekerja kerah
biru. Penelitian ini juga menyimpulkan bahwa faktor persepsi kegunaan
merupakan faktor yang yang paling kuat dibandingkan dengan variabel lainnya.
Penelitian ini juga mengindikasikan implikasi yang dapat digunakan untuk
meningkatkan performa perusahaan.
ABSTRACTThis study aims to identify factors affecting intention to use e-learning. These
factors are attitude toward use, perceived usefulness, perceived ease of use, social
influence, facilitating conditions and anxiety among blue collar workers at Frisian
Flag Indonesia. A structural equation modelling approach using Lisrel software
was applied to identify the factors above that may have positive and significant
affect. Data obtained from 391 blue collar workers. The study concludes that
perceived usefulness is a much stronger predictor of user intention compared to
others. The study also indicates implications to improve performance of company, This study aims to identify factors affecting intention to use e-learning. These
factors are attitude toward use, perceived usefulness, perceived ease of use, social
influence, facilitating conditions and anxiety among blue collar workers at Frisian
Flag Indonesia. A structural equation modelling approach using Lisrel software
was applied to identify the factors above that may have positive and significant
affect. Data obtained from 391 blue collar workers. The study concludes that
perceived usefulness is a much stronger predictor of user intention compared to
others. The study also indicates implications to improve performance of company]