Published: 2025-08-01
Evaluation of the Effectiveness of P-SIGN Digital Signature Application Using Technology Acceptance Model (TAM) Approach at PT Pertamina Patra Niaga Regional South Sumatra
DOI: 10.35870/ijsecs.v5i2.4403
Downloads
Abstract
This study analyzes how employees at PT Pertamina Patra Niaga Sumbagsel accept and use the P-SIGN digital signature platform through Technology Acceptance Model (TAM) analysis. Results show that P-SIGN usage aligns with Pertamina's digital transformation goals while supporting environmental initiatives by decreasing paper and ink consumption. Validity testing across variables X1, X2, X3, and Y1 confirmed all items as valid, with calculated r-values surpassing the table r-value (0.273). Reliability assessment yielded a Cronbach's Alpha of 0.821, demonstrating strong measurement consistency. The normality test produced an L-value of 0.220, exceeding the 0.05 significance threshold, verifying normal data distribution. While users generally responded favorably to P-SIGN, insufficient training created knowledge gaps about application features among certain staff members, potentially affecting their perception of usability. The study suggests strengthening internal education programs to maximize technology adoption rates across the organization
Keywords
P-SIGN ; TAM ; Digital Signature ; Perceived Ease of Use ; Digitalization ; Pertamina
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 5 No. 2 (2025)
-
Section: Articles
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/ijsecs.v5i2.4403
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Ratna Juwita
Informatics Engineering Study Program, Universitas Bina Darma, Palembang City, South Sumatra Province, Indonesia
Ahmad Syazili
Informatics Engineering Study Program, Universitas Bina Darma, Palembang City, South Sumatra Province, Indonesia
-
Susanto, H., & Setiawan, D. (2021). Penerapan Tanda Tangan Digital untuk Meningkatkan Efisiensi Administrasi Perusahaan. Jurnal Teknologi dan Sistem Informasi, 9(3), 200–210.
-
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
-
Jannah, M., & Widodo, W. (2022). Analisis Penerimaan Teknologi Menggunakan Technology Acceptance Model (TAM): Studi Kasus Implementasi Sistem Informasi di Lingkungan Pemerintahan. Jurnal Teknologi Informasi dan Komunikasi, 10(2), 115–123.
-
Pratama, A. S., Sari, S. M., Hj, M. F., Badwi, M., & Anshori, M. I. (2023). Pengaruh Artificial Intelligence, Big data dan otomatisasi terhadap kinerja SDM di Era digital. Jurnal Publikasi Ilmu Manajemen, 2(4), 108-123. https://doi.org/10.55606/jupiman.v2i4.2739
-
Beni, M. D. (2019). An outline of a unified theory of the relational self: grounding the self in the manifold of interpersonal relations. Phenomenology and the Cognitive Sciences, 18(3), 473-491. https://doi.org/10.1007/s11097-018-9587-6
-
Krisdayanti, I. (2022). Efektivitas Organisasi dalam Pelayanan Publik. Jurnal Administrasi Publik, 9(1), 68–76.
-
Mardiasmo. (2017). Akuntansi Sektor Publik (Edisi Revisi). Yogyakarta: Andi.
-
Yulitiawati, T., & Rusmidarti, S. (2021). Evaluasi Efektivitas Organisasi Publik Berdasarkan Perspektif Kinerja. Jurnal Administrasi dan Kebijakan Publik, 12(1), 133–140.
-
Mahmudi. (2010). Manajemen Kinerja Sektor Publik. Yogyakarta: UPP STIM YKPN.
-
Nazar, N. (2016). EVALUASI PELAKSNAAN SISTEM DAN EFEKTIVITAS PENERIMAAN PAJAK HOTEL DI DINAS PENDAPATAN KOTA MANADO TAHUN 2010-2014. Jurnal Berkala Ilmiah Efisiensi, 16(3), 825–35.
-
Crawford, C. M., & Benedetto, C. A. D. (2000). New Products Management (6th ed.). Boston: McGraw-Hill.
-
Javeed, K., Saeed, K., & Gregg, D. (2022). High‐speed parallel reconfigurable fp multipliers for elliptic curve cryptography applications. International Journal of Circuit Theory and Applications, 50(4), 1160-1173. https://doi.org/10.1002/cta.3206
-
Shah, Y., Javeed, K., Azmat, S., & Wang, X. (2018). A high‐speed rsd‐based flexible ecc processor for arbitrary curves over general prime field. International Journal of Circuit Theory and Applications, 46(10), 1858-1878. https://doi.org/10.1002/cta.2504
-
Last, Y., Geels, J., & Schraffenberger, H. (2024). Digital dotted lines: design and evaluation of a prototype for digitally signing documents using identity wallets., 1-11. https://doi.org/10.1145/3613905.3650977
-
Maity, S., Sahu, T., & Sen, N. (2020). Panoramic view of digital education in covid‐19: a new explored avenue. Review of Education, 9(2), 405-423. https://doi.org/10.1002/rev3.3250
-
Saripan, H. and Hamin, Z. (2011). The application of the digital signature law in securing internet banking: some preliminary evidence from malaysia. Procedia Computer Science, 3, 248-253. https://doi.org/10.1016/j.procs.2010.12.042
-
Tzelios, K. and Williams, L. (2020). The psychological impact of digital signatures: a multistudy replication. Technology Mind and Behavior, 1(2). https://doi.org/10.1037/tmb0000019
-
Wellem, T., Nataliani, Y., & Iriani, A. (2022). Academic document authentication using elliptic curve digital signature algorithm and qr code. Joiv International Journal on Informatics Visualization, 6(3), 667. https://doi.org/10.30630/joiv.6.2.872
-
Yuniarti, F., Pratiwi, D., & Novianto, R. (2024). Developing podcast-based learning media for english education among deaf students. Veles Voice of English Language Education Society, 8(1), 293-302. https://doi.org/10.29408/veles.v8i1.24854
-
Alamsyah, D. (2020). Transformasi Digital di BUMN: Strategi dan Implementasi. Jakarta: Gramedia.
-
Fatmawati. (2015). Analisis Penerimaan Teknologi Informasi Menggunakan Pendekatan Technology Acceptance Model (TAM). Jurnal Sistem Informasi, 7(1), 33–42.
-
Geven, G. (2003). User Acceptance of Information Technology: Theories and Models. Journal of Information Systems, 12(2), 55–67.
-
Ghozali, I. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.
-
Guriting, P., & Ndubisi, N. O. (2006). Borneo online banking: Evaluating customer perceptions and behavioral intention. Management Research News, 29(1/2), 6–15.
-
Handayani, S. (2017). Penerapan TAM dalam Penggunaan Sistem Informasi Akademik. Jurnal Ilmiah Komputer dan Informatika, 1(2), 45–52.
-
Jogiyanto, H. M. (2007). Sistem Informasi Keperilakuan (Edisi Revisi). Yogyakarta: Andi.
-
Jogiyanto, H. M. (2017). Sistem Informasi Keperilakuan. Yogyakarta: Andi Offset.
-
Kementerian BUMN. (2022). Strategi Digitalisasi BUMN Menuju Industri 4.0. Diakses dari https://bumn.go.id/
-
Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel Psychology, 53(2), 375–403.
-
Priyanto, D. (2021). Efektivitas Penggunaan Tanda Tangan Digital dalam Proses Administrasi Perusahaan. Jurnal Teknologi Informasi dan Komunikasi, 9(2), 45–54.
-
Ramadhan, R. (2017). Technology Acceptance Model (TAM) dan Perkembangannya dalam Penelitian Sistem Informasi. Jurnal Teknologi dan Informasi, 4(1), 11–20.
-
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
-
Susanto, A., & Prabowo, R. (2020). Analisis Validitas dan Reliabilitas Kuesioner Penelitian Bisnis. Jurnal Ekonomi dan Bisnis Digital, 6(1), 12–20.
-
Widodo, W. (2021). Implementasi E-Government dan Digitalisasi Administrasi dalam Organisasi Publik. Jurnal Administrasi Publik, 15(1), 35–46.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.