Electronic Theses and Dissertation

Abstrak penelitian ini bertujuan untuk mengukur pengaruh perceived ease of se dan perceived usefulness terhadap actual use yang dimediasi oleh adoption intention pada pada pengguna bsi mobile di kota banda aceh. penentuan jumlah sampel untuk analisis structural equation modeling (sem) menggunakan rumus minimal 5 dan maksimal 10 kali dari jumlah indikator. pada penelitian ini menggunakan 10 kali jumlah variabel indikator yang berjumlah 20 indikator yang digunakan (ferdinand, 2013) sehingga menghasilkan sampel yang berjumlah 200 sampel. penarikan sampel yang dilakukan dalam penelitian ini menggunakan proportional sampling. peralatan pengumpulan data yang digunakan dalam penelitian ini adalah kuesioner. structural equation modelling (sem) digunakan sebagai metode analasis untuk mengetahui pengaruh antar variabel-variabel yang terlibat. berdasarkan hasil analisis sem menunjukkan bahwa perceived ease of se berpengaruh terhadap adoption intention, perceived usefulness berpengaruh terhadap adoption intention, perceived ease of se berpengaruh terhadap actual use, perceived usefulness berpengaruh terhadap actual use, adoption intention berpengaruh terhadap actual use, adoption intention memediasi secara partially mediating pengaruh perceived ease of se terhadap actual use, adoption intention memediasi secara partially mediating pengaruh perceived usefulness terhadap actual use. kata kunci: perceived ease of se, perceived usefulness, actual use, adoption intention

ABSTRACT This study aims to measure the effect of perceived ease of use and perceived usefulness on actual use mediated by adoption intention on Bsi Mobile Users in Banda Aceh City. Determination of the number of samples for Structural Equation Modeling (SEM) analysis uses a formula of at least 5 and a maximum of 10 times the number of indicators. In this study, 10 times the number of indicator variables were used, totaling 20 indicators used (Ferdinand, 2013) resulting in a sample of 200 samples. Sampling in this study used proportional sampling. The data collection equipment used in this study was a questionnaire. Structural Equation Modeling (SEM) is used as an analysis method to determine the influence between the variables involved. Based on the results of SEM analysis, it shows that perceived ease of se has an effect on adoption intention, perceived usefulness has an effect on adoption intention, perceived ease of se has an effect on actual use, perceived usefulness has an effect on actual use, adoption intention has an effect on actual use, adoption intention partially mediates the effect of perceived ease of se on actual use, adoption intention partially mediates the effect of perceived usefulness on actual use. Keywords: Perceived ease of se, Perceived usefulness, Actual use, Adoption intention