KUNCI SUKSES MIGRASI DATA SALDO AWAL BARANG MILIK NEGARA PADA SISTEM SAKTI

  • Iskandar Iskandar Politeknik Keuangan Negara STAN
  • Agung Triyanto Joko Marsono Direktorat Sistem Informasi dan Teknologi Perbendaharaan, DJPb
DOI: https://doi.org/10.31937/akuntansi.v16i1.3472

Abstract

Abstract—This research aims to determine the key factors for successful migration of state-owned asset data from the previous system to the SAKTI system. This research paradigm is a qualitative type which is aimed at gaining insight through exploring the complexity of phenomena in data migration programmes,  in the form of initial balances of state-owned asset data from existing applications to SAKTI. Data collection was carried out through literature study and observation. The research results showed that the key factors that determine the success of migrating state-owned asset data to SAKTI are mechanisms including centralized data migration, phasing the migration process, correcting data anomalies in existing applications, increasing human resource capacity related to the data migration process, assisting users with the migration process, reconciliation, providing follow-up application features for data anomalies and normalization residues and technical instructions, providing migration monitoring tools, and increasing IT infrastructure capacity/bandwidth. The research results are useful as lessons learned about organizational aspects in the data migration process, both in the public/government and private domains.

Keywords: Data Migration; State-Owned Asset; Fixed Assets; Critical Success Factors; Data Anomaly; Initial Balance

Downloads

Download data is not yet available.
Published
2024-06-30
How to Cite
Iskandar, I., & Marsono, A. T. J. (2024). KUNCI SUKSES MIGRASI DATA SALDO AWAL BARANG MILIK NEGARA PADA SISTEM SAKTI. Ultimaccounting Jurnal Ilmu Akuntansi, 16(1), 171-187. https://doi.org/https://doi.org/10.31937/akuntansi.v16i1.3472
Issue
Vol 16 No 1 (2024): Ultima Accounting : Jurnal Ilmu Akuntansi 
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike International License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.