Jurnal
Model Penerimaan Aplikasi Elektronik Laporan Harta Kekayaan Penyelenggaraan Negara (E-LHKPN) Pada Pejabat Aparatur Sipil Negara Di Lingkungan Universitas Cenderawasih
JURNAL AKUNTANSI, AUDIT, DAN ASET (AAA) · Vol. 4 No. 1 (2023) · pp. 43–51
- Published
- 2023-08-17
- Publisher
- JURNAL AKUNTANSI, AUDIT, DAN ASET (AAA)
- Language
- eng
Abstract
Abstract The purpose of this study aims to determine the acceptance model of the State Administration of Wealth Report (E-LHKPN) application to state civil servants in the Cenderawasih University environment. The model usedto explain the acceptance of the E-LHKPN system is the Technology Acceptance Model (TAM) with four latent variabeles.The type of data used in this research is quantitative data obtained from online questionnaires using google form. The type of sampling used is non-probabilty sampling technique / census, where the sample is distributed to all officials who are required to report in the Cenderawasih University Environment. The number of samples as many as 127 must report, calculated using the Structural Equation Modeling (SEM) analysis technique wich is one of the analysis technique using the Partial Least Square (PLS) 7.0 analysis tool program, using the warpPLS software.Based on the data analysis, the results obtained are as follows: perceived ease of use has a significant effect on perceived benefits of use, perceived ease of use has a significant effect on behavioral attitudes, perceived benefits of use have a significant effect on behavioral attitudes, perceptions of ease of use have an indirect effect on behavioral attitudes mediated by benefits. Keywords: Perceived Ease of Use, Perceived Usefulness, Behavioral Attitudes, Mediation perceived Usefulbess.Abstrak Penelitian ini bertujuan untuk mengetahui model penerimaan aplikasi Laporan Harta Kekayaan Penyelenggaraan Negera (E-LHKPN) pada pejabat aparatur sipil Negara di Lingkungan Universitas Cenderawasih. Model yang digunakan untuk menjelaskan penerimaan sistem E-LHKPN adalah Tecnology Acceptance Model (TAM) dengan empat variabel laten.Jenis data yang digunakan dalam penelitian ini adalah data kuantitatif yang diperoleh dari kuesioner online menggunakan google form. Jenis pengambilan sampel yang digunakan adalah non probability sampling dengan teknik sampel jenuh/sensus, dimana sampel dibagikan kepada seluruh pejabat wajib lapor di Lingkungna Universitas Cenderawasih. Jumlah sampel sebanyak 127 wajib lapor, dihitung menggunakan teknik analisis Structural Equation Modeling (SEM) yang merupakan salah satu teknik analisis dengan menggunakan program alat analisis Partial Least Square (PLS) 7.0, menggunakan software WarpPLS.Berdasarkan analisis data hasil yang diperoleh sebagai berikut: persepsi kemudahan penggunaan berpengaruh signifikan terhadap persepsi manfaat penggunaan, persepsi kemudahan penggunaan berpengaruh signifikan terhadap sikap perilaku, persepsi manfaat penggunaan berpengaruh signifikan terhadap sikap perilaku, persepsi kemudahan penggunaan berpengaruh secara tidak langsung terhadap sikap perilaku dimediasi manfaat pengunaan. Kata kunci: persepsi kemudahan penggunaan, persepsi manfaat penggunaan, sikap perilaku, mediasi manfaat penggunaan.
Collaboration network of the authors
40 authors · 91 co-authorship links · showing the 40 most connected
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Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Bill J. C Pangayow | Affiliation unknown | 5 |
| Anthonius H. Citra Wijaya | Affiliation unknown | 4 |
| Pascalina V. S Sesa | Affiliation unknown | 4 |
| Pascalina Van Sweet Sesa | Affiliation unknown | 3 |
| Aaron M.A. Simanjuntak | Affiliation unknown | 2 |
| Rudiawie Larasati | Affiliation unknown | 2 |
| Juliana Waromi | Affiliation unknown | 2 |
| Cornelia D. Matani | Affiliation unknown | 2 |
| Kurniawan Patma | Affiliation unknown | 2 |
| Syaikhul Falah | Affiliation unknown | 2 |
| Paulus K. Allo Layuk | Affiliation unknown | 2 |
| Yundy Hafizrianda | Affiliation unknown | 2 |
| Berlian Ritha Belo | Affiliation unknown | 1 |
| Lynda Lynda | Affiliation unknown | 1 |
| Yulita Deisyi | Affiliation unknown | 1 |
| Christina Randalayuk | Affiliation unknown | 1 |
| Leli Piska Yumame | Affiliation unknown | 1 |
| Elisha Jansen Sambara | Affiliation unknown | 1 |
| Sylvia Christina Daat | Affiliation unknown | 1 |
| Yustinus Tito Susilo | Affiliation unknown | 1 |
| Futry Dwi Jayanti | Affiliation unknown | 1 |
| Jhon Urasti Blesia | Affiliation unknown | 1 |
| Sylvia Daat | Affiliation unknown | 1 |
| Ellend Fransiska | Affiliation unknown | 1 |
| Helisa Hadmi | Affiliation unknown | 1 |
| Syaikhul Fallah | Affiliation unknown | 1 |
| Putri Purwaning Suci | Affiliation unknown | 1 |
| Pascalina Sesa | Affiliation unknown | 1 |
| Hesti Endah Kurniasari | Affiliation unknown | 1 |
| Maylen Kambuaya | Affiliation unknown | 1 |
| Bill Pangayow | Affiliation unknown | 1 |
| Yulen Klaibin | Affiliation unknown | 1 |
| Christine Jois Karubaba | Affiliation unknown | 1 |
| Dytha Meninta Nababan | Affiliation unknown | 1 |
| kostantina safisa | Affiliation unknown | 1 |
| Cicilia Cindy Oktaviani Meteray | Affiliation unknown | 1 |
| Fitri Dwinarian | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.