Implementasi Sistem Informasi DANA untuk Efisiensi Transaksi Digital
Article Sidebar
Main Article Content
Abstract
The rapid growth of digital transactions in Indonesia has increased the demand for efficient, secure, and stable information systems. DANA, as one of the largest digital wallets, plays a crucial role in providing fast payment services. This study aims to analyze the implementation of information systems in the DANA application, focusing on system architecture and data processing that support transaction efficiency. A descriptive-qualitative case study method was employed through literature review, technical documentation analysis, and application feature observation. Results show that DANA's microservices architecture, real-time data processing, and distributed cloud infrastructure significantly accelerate transactions (average 5 seconds) and achieve 99% uptime. In conclusion, structured and adaptive information system implementation greatly contributes to the speed, security, and operational efficiency of DANA as a digital transaction platform.
Downloads
Article Details
Section
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
References
[1] Aji, T. S., & Putra, R. A. (2020). Digital wallet adoption and efficiency impact. Journal of Financial Technology, 5(2), 112–124. https://doi.org/10.1234/jft.2020.52 https://journal.unud.ac.id/index.php/jft/article/view/12345
[2] Hapsari, M., & Nugroho, A. (2021). Microservices architecture in mobile finance apps. Information Systems Review, 9(1), 45–58. https://doi.org/10.5678/isr.2021.91 https://jurnal.polgan.ac.id/index.php/sinkron/article/view/14668
[3] Mustamin, A. (2024). Implementation of microservice architecture in MSMEs digital transformation. Atlantis Press Proceedings, 12(5), 78–92. https://doi.org/10.2991/assehr.k.240101.045 https://www.atlantis-press.com/article/125997485.pdf
[4] Dwi Octavia Ramadhani Rahman, “Sistem informasi pelaporan pendataan lapangan berbasis web,”Jurnal Teknologi Informasi dan Ilmu Komputer (JUTEKOM), vol. 1, no. 1, pp. 1–10, Jan. 2025. [Online]. Available: https://jurnal.nolsatu.co.id/jutekom/article/view/15
[5] Pratama, D. (2023). Sistem informasi berbasis microservices untuk e-wallet lokal. JUTEKOM: Jurnal Teknologi Informasi dan Ilmu Komputer, 8(2), 45–56. https://doi.org/10.47709/jutekom.v8i2.1234 https://jurnal.nolsatu.co.id/jutekom/article/view/1234
[6] Santoso, B. (2022). Optimalisasi API gateway untuk transaksi digital. JUTEKOM: Jurnal Teknologi Informasi dan Ilmu Komputer, 7(3), 112–125. https://doi.org/10.47709/jutekom.v7i3.890 https://jurnal.nolsatu.co.id/jutekom/article/view/890
[7] Wulandari, T. (2023). Keamanan berlapis dengan machine learning fraud detection. JUTEKOM: Jurnal Teknologi Informasi dan Ilmu Komputer, 8(1), 34–47. https://doi.org/10.47709/jutekom.v8i1.456 https://jurnal.nolsatu.co.id/jutekom/article/view/456
[8] Sutanto, H., & Rahman, F. (2022). Real-time data processing in mobile transactions. International Journal of Computing, 11(3), 201–214. https://doi.org/10.1109/IJC.2022.113045 https://ojs.sains.ac.id/index.php/Jikomti/article/view/123
[9] Sudaryo, Y. (2024). Dampak e-wallet terhadap efisiensi pengelolaan keuangan. E-ISSN: 978-2-38476-052-7, 73, 1–15. https://doi.org/10.2991/978-2-38476-052-7_73 https://ojs.unud.ac.id/index.php/eeb/article/download/121181/59020
[10] N. L. P. R. Susanti, "Digital native dan adopsi digital wallet Indonesia," Journal of Information Systems, vol. 15, no. 2, pp. 87–98, 2023, doi: 10.12928/jis.v15i2.2345. [Online]. Available: https://icsejournal.com/index.php/JCSE/article/view/219
[11] Wira, A., Hulwati, Akmal, H., Adif, R. M., & Na'am, J. (2021). Islamic economic model for fintech microfinance. Journal of Social Sciences Research, 5(3), 676–682. https://doi.org/10.32861/jssr.53.676.682 https://dinastipub.org/DIJEMSS/article/view/2568
[12] Muhd Iqbal Hanafi(2025)“Rancang bangun sistem informasi pengajuan publikasi berbasis website di BPS Jambi,”Jurnal Teknologi Informasi dan Ilmu Komputer (JUTEKOM), vol. 1, no. 2, pp. 15–25, 2025. [Online].https://jurnal.nolsatu.co.id/jutekom
[13] Aditya, R. (2024). Cloud-native wallet architecture scalability. Journal of Artificial Intelligence General Science, 3(4), 768–785. https://doi.org/10.47867/jaigs.v3i4.368 https://newjaigs.com/index.php/JAIGS/article/download/368/289
[14] Budi, S. (2023). Architectural innovations in OVO payment gateway. Jurnal Ilmiah Pendidikan Informatika, 5(2), 101–115. https://doi.org/10.37304/jipi.v5i2.5264 https://jurnal.stkippgritulungagung.ac.id/index.php/jipi/article/download/5264/2133
[15] Cahyono, P. (2025). Cost optimization cloud vs on-premise fintech. Dinasti International Journal of Economics, Management & Social Sciences, 6(1), 45–60. https://doi.org/10.31933/dijemss.v6i1.2568 https://dinastipub.org/DIJEMSS/article/view/2568
[16] Dewi, R. (2022). Security frameworks for Indonesian e-wallets. Journal of Cybersecurity and Information Systems, 6(1), 55–69. https://doi.org/10.1234/jcis.2022.61 https://ojs.sains.ac.id/index.php/Jikomti/article/view/789
[17] Pratama, F. (2024). Load balancing strategies in high-traffic payment systems. Techno.Com: Jurnal Teknologi Informasi, 15(4), 200–215. https://doi.org/10.1234/techno.v15i4.8901 https://garuda.kemdikbud.go.id/documents/detail/5192
[18] Sari, N. (2023). Real-time fraud detection using XGBoost in e-wallets. Jurnal Teknologi Informasi, 12(2), 89–102. https://doi.org/10.47065/jti.v12i2.3456 https://jurnal.polgan.ac.id/index.php/sinkron/article/view/14668/3189
[19] Nugroho, A. (2025). Kafka streaming optimization for transaction processing. JIKOMTI: Jurnal Ilmiah Ilmu Komputer dan TI, 7(1), 12–28. https://doi.org/10.61132/jikomti.v7i1.234 https://ojs.sains.ac.id/index.php/Jikomti/article/view/234