Abstract
The advancement of digitalization in financial institutions demands secure system development practices, particularly regarding the use of customer data in development and UAT environments. In the TXX core system, the use of raw data without sanitization poses a potential risk of sensitive information leaks. This study aims to develop a data sanitization service using a scrambling method capable of scrambling personal data without altering the structure, format, or integrity of the testing process. The research method employs a research and development approach, comprising system analysis, database and service flow design, implementation of a TAFC-based prototype, and functional and structural testing. The implementation resulted in three main modules: Parameter Scramble, Agent Service Scramble, and Routine Service, which are integrated with PT XYZ’s development environment. Black-box testing results indicate that all interface functions and service processes operate as expected. White-box testing of the program structure ensured that the internal logic, flow control, and multithreading mechanisms operated stably without race conditions. Additionally, usability testing using the System Usability Scale on 14 respondents yielded a score of 77, which falls into the “Good” and acceptable category.
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20 References- Almasri, E., & Mahmoud, Q. H. (2008). Investigating Web Services on Mobile Devices. Journal of Systems and Software, 81(3), 420–431.
- Aziz, M., & Haron, S. (2020). Internet Banking of Islamic Banks: Issues of Security and Privacy. Journal of Islamic Finance, 5(1), 67–75.
- Belgian Data Protection Authority. (2020). Recommendation on data sanitisation and data medium destruction techniques: Information media erasure and destruction guide (Version 1.01).
- Direktorat Jenderal Perbendaharaan. (2025). Mengenal ISO/IEC 27001: Standar emas keamanan informasi. Kementerian Keuangan Republik Indonesia.
- Duan, X., Shao, Z., Wang, W., Zhang, E., Yue, D., Qin, C., & Nam, H. (2022). A Steganography Model Data Protection Method Based on Scrambling Encryption. Computers, Materials & Continua, 72(3), 5363–5375. https://doi.org/10.32604/cmc.2022.027807.
- Fitria, A. D. (2021). Implementasi API Sanitasi Data pada Sistem Perbankan Syariah. Jurnal Teknologi Informasi dan Komputer, 9(2), 33–40.
- Gupta, A., Kumar, R., & Singh, M. (2022). Data Protection Using Scrambling Technique. International Journal of Computer Applications, 183(3), 10–15.
- Hutapea, S. (2020). Penerapan Software Testing Pada Aplikasi Properti PT. X dengan Metode Regresi & Black Box.
- Koç, H., Erdoğan, A. M., Barjakly, Y., & Peker, S. (2021). UML Diagrams in Software Engineering Research: A Systematic Literature Review. Proceedings, 74(1), 13. https://doi.org/10.3390/proceedings2021074013.
- Nababan, V. L. Y. B., Wulandari, A., & Karlina, L. (2024). PERLINDUNGAN DATA PRIBADI NASABAH DI INDUSTRI PERBANKAN. SYARIAH: Jurnal Ilmu Hukum, 1(4), 234-240.
- Neagu, M.-I., & Miclea, L. (2014). Data scrambling in memories: A security measure. In 2014 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) (pp. 1–6).
- Pooja Badgujar. (2021). Implementing Data Masking Techniques for Privacy Protection. Journal of Technological Innovations, 2(4). https://doi.org/10.93153/5yysvh44.
- Pulungan, S. M., Febrianti, R., Lestari, T., Gurning, N., & Fitriana, N. (2023). Analisis Teknik Entity-Relationship Diagram Dalam Perancangan Database. Jurnal Ekonomi Manajemen Dan Bisnis (JEMB), 1(2), 143–147. https://doi.org/10.47233/jemb.v1i2.533.
- Sa’adah, N., Astawa, I. G. P., & Sudarsono, A. (2018). Trusted Data Transmission Using Data Scrambling Security Method with Asymmetric Key Algorithm for Synchronization. EMITTER International Journal of Engineering Technology, 6(2), 217–235. https://doi.org/10.24003/emitter.v6i2.267.
- Setiawan, G. W. (2021). PENGUJIAN PERANGKAT LUNAK MENGGUNAKAN METODE BLACK BOX: Studi Kasus EXELSA Universitas Sanata Dharma.
- Singh, S., & Rai, R. K. (2014). A review report on security threats on database. International Journal of Computer Science and Information Technologies, 5(3), 3215–3219.
- Subashini, R., & Kavitha, V. (2019). Data Sanitization Techniques: Protecting Against Data Leakage. Journal of Cyber Security and Information Systems, 7(4), 55–63.
- Vijay Sai, R., & Saravanan, S. (2018). A Review on Security in Cache Memories. Indian Journal of Science and Technology, 9(48), 1–6. https://doi.org/10.17485/ijst/2016/v9i48/96037.
- Vijay Sai, R., Saravanan, S., & Anandkumar, V. (2015). Implementation of a Novel Data Scrambling based Security Measure in Memories for VLSI Circuits. Indian Journal of Science and Technology, 8(35), 1–6. https://doi.org/10.17485/ijst/2015/v8i35/86798.
- Wali, R. R., Permana, A. A., & Prasetyo, D. H. (2020). Logical Record Structure (LRS) dalam Perancangan Basis Data. JISICOM (Journal of Information System, Informatics and Computing), 4(1), 45–52.
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