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Article . 2022 . Peer-reviewed
Data sources: Crossref
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ANALISIS TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI GREATDAY

Authors: Christian Jody Toha; Mulyati Mulyati;

ANALISIS TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI GREATDAY

Abstract

Aplikasi GREATDAY memiliki fitur seperti rekapitulasi kehadiran (jam datang dan jam pulang), pengajuan lembur dan cuti, menghitung upah, mengklaim, menugaskan tugas dan mengevaluasi karyawan, menghitung pajak dan melaporkan upah secara akurat karena ada proses perhitungan yang terintegrasi antara upah, PPh 21 dan BPJS. Penggunaan program GREATDAY menjadi pilihan di masa wabah Covid-19, karyawan dapat bekerja dari rumah untuk mencegah penyebaran virus. Model penelitian ini menggunakan Technology Acceptance Model (TAM). Metode pengumpulan data adalah kuesioner, dan pengolahan serta analisis data dilakukan melalui model persamaan struktural (SEM) dengan menggunakan program aplikasi SmartPLS versi 2.0 M3. Hasil penelitian menunjukkan hasil yang signifikan, variabel yang signifikan yaitu Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness, Perceived Ease of Use berpengaruh signifikan terhadap Attitude Towards Using. Attitude Towards Using berpengaruh signifikan terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh Signifikan terhadap Actual System Use. Sedangkan 2 variabel yang tidak berpengaruh secara signifikan yaitu variabel Perceived Usefulness berpengaruh tidak signifikan terhadap Attitude Towards Using dan Perceived Usefulness berpengaruh tidak signifikan terhadap Behavioral Intention to Use.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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