Jurnal
Pengaruh Sistem Akuntansi Pemerintah Daerah, Kompetensi Sumber Daya Manusia Dan Pemanfaatan Teknologi Informasi Terhadap Kualitas Laporan Keuangan Pemerintah Daerah Kabupaten Pegunungan Bintang
JURNAL AKUNTANSI, AUDIT, DAN ASET (AAA) · Vol. 2 No. 1 (2022) · pp. 60–75
- Published
- 2022-01-27
- Publisher
- JURNAL AKUNTANSI, AUDIT, DAN ASET (AAA)
- Language
- eng
Abstract
The objectives to be achieved by the authors of this study are 1) To examine the effect of the local government accounting system on the quality of financial reports of Pegunungan Bintang District government, 2) To examine the effect of human resource competencies on the quality of the Gunung Bintang regency financial statements, 3 ) To examine the effect of technology utilization on the quality of financial statements of the Pegunungan Bintang District government, and 4) To examine the effect of government accounting systems, human resources and the use of information technology on the financial reporting quality of the Pegunungan Bintang District government. This study uses data collection techniques with questionnaires distributed to respondents. The data analysis method used in this study used multiple linear regression analysis. The results showed that the t-test statistics on the government accounting system (SAP) were 2,776 with a significance level of 0,007. The statistical value of the count test is smaller than the t table (2.776> 1.667) with a significantly smaller than α = 0.05. Human resources (HR) obtained t-test statistics of 2.662 with a significance level of 0.010. The statistical value of the count test is greater than the t table (2.662> 1.667) and also significantly smaller than α = 0.05. The utilization of information technology (PTI) obtained t-test statistics of 2.754 with a significance level of 0.008. The statistic value of the count test is greater than the t table (2.754> 1.667) and also significantly smaller than α = 0.05. The F value of the table at the significance level of 5% (a = 0.05), numerator 3, and denominator 66 is equal to 4.896. The calculated F value based on the results of computer calculations is 37,176. When comparing the F count and F table values, it is known that the calculated F value is greater than the F table value (37,176> 4,896), so that it can be said that the government accounting system, human resources, and the use of information technology simultaneously have a significant effect on report quality regional finance.Â
Collaboration network of the authors
40 authors · 114 co-authorship links · showing the 40 most connected
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Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Meinarni Asnawi | Affiliation unknown | 7 |
| Kurniawan Patma | Affiliation unknown | 4 |
| Siti Rofingatun | Affiliation unknown | 4 |
| Juliana Waromi | Affiliation unknown | 3 |
| Mariolin Sanggenafa | Affiliation unknown | 3 |
| Agustinus Salle | Affiliation unknown | 3 |
| Paulus K. Allo Layuk | Affiliation unknown | 3 |
| Novalia Herlina Bleskadit | Affiliation unknown | 3 |
| Sara Marlyn Paru | Affiliation unknown | 3 |
| Otniel Safkaur | Affiliation unknown | 2 |
| Anthonius H.C. Wijaya | Affiliation unknown | 2 |
| Sylvia Christina Daat | Affiliation unknown | 2 |
| Ulfah Rizky Muslimin | Affiliation unknown | 2 |
| Arius Kambu | Affiliation unknown | 2 |
| Klara Wonar | Affiliation unknown | 2 |
| Edwin Umbora | Affiliation unknown | 2 |
| Agustina Pairingan | Affiliation unknown | 1 |
| Gunung Hasian Siahaan | Affiliation unknown | 1 |
| Rodika Wakerkwa | Affiliation unknown | 1 |
| Jefri Imbiri | Affiliation unknown | 1 |
| Sylvia C Daat | Affiliation unknown | 1 |
| Yulens Frits Bonai | Affiliation unknown | 1 |
| Lynda Lynda | Affiliation unknown | 1 |
| Hastutie Noor Andriati | Affiliation unknown | 1 |
| Melyanus Bonsapia | Affiliation unknown | 1 |
| B. Elitha Bharanti | Affiliation unknown | 1 |
| Nuh Saneraro Fakdawer | Affiliation unknown | 1 |
| Balthazar Kambuaya | Affiliation unknown | 1 |
| Anggi Anggara Akbar | Affiliation unknown | 1 |
| Maylend Kambuaya | Affiliation unknown | 1 |
| Allan Muraram | Affiliation unknown | 1 |
| Sylvia Daat | Affiliation unknown | 1 |
| Kristian Radjibu | Affiliation unknown | 1 |
| Theo Allolayuk | Affiliation unknown | 1 |
| Mateus Welerubun | Affiliation unknown | 1 |
| Maylen K.P. Kambuaya | Affiliation unknown | 1 |
| Frendy Gerson Simon Aroy | 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.