Improvement Of The Banking Collateral Auction Application System Architecture Using TOGAF ADM

The collateral auction system in banking faces challenges in terms of scalability, data security, and technology integration. This study aims to analyze and enhance the application architecture of the collateral auction system at BNI46 using the TOGAF (The Open Group Architecture Framework). The target architecture is then designed based on the Architecture Development Method (ADM) phases in TOGAF, covering aspects of Business Architecture, Information Systems Architecture, and Technology Architecture. The research methodology includes observations, interviews, and literature studies to identify weaknesses in the existing system and business requirements. TOGAF is applied as a systematic approach to designing a more flexible, secure, and efficient architecture. Technologies such as containerization, Kubernetes, and a zero-trust security model are employed to improve system efficiency. The study results indicate that the implementation of TOGAF provides a structured approach to developing an architecture that is more flexible and business-oriented. With these improvements, the collateral auction system is expected to provide better services for customers, enhance the efficiency of asset management in banking, adapt to evolving business needs, and strengthen the bank's competitiveness in the digital era.

Authors

Institutions

Publication Details

Journal
Komputa Jurnal Ilmiah Komputer dan Informatika
Published
2025-05-24
DOI
https://doi.org/10.34010/komputa.v14i1.15715
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvement Of The Banking Collateral Auction Application System Architecture Using TOGAF ADM

Aldian Arie Pratama, Febryana Nabilla Setyawati, Muhammad Djaka Abadi, Siti Ernawati
Komputa Jurnal Ilmiah Komputer dan Informatika
Stock Market Forecasting Methods
article

Improvement Of The Banking Collateral Auction Application System Architecture Using TOGAF ADM

Aldian Arie Pratama, Febryana Nabilla Setyawati, Muhammad Djaka Abadi, Siti Ernawati
article en

Abstract

The collateral auction system in banking faces challenges in terms of scalability, data security, and technology integration. This study aims to analyze and enhance the application architecture of the collateral auction system at BNI46 using the TOGAF (The Open Group Architecture Framework). The target architecture is then designed based on the Architecture Development Method (ADM) phases in TOGAF, covering aspects of Business Architecture, Information Systems Architecture, and Technology Architecture. The research methodology includes observations, interviews, and literature studies to identify weaknesses in the existing system and business requirements. TOGAF is applied as a systematic approach to designing a more flexible, secure, and efficient architecture. Technologies such as containerization, Kubernetes, and a zero-trust security model are employed to improve system efficiency. The study results indicate that the implementation of TOGAF provides a structured approach to developing an architecture that is more flexible and business-oriented. With these improvements, the collateral auction system is expected to provide better services for customers, enhance the efficiency of asset management in banking, adapt to evolving business needs, and strengthen the bank's competitiveness in the digital era.

Komputa Jurnal Ilmiah Komputer dan InformatikaVol. 14(1)
Universitas Katolik Widya Mandira (ID)
Openalex Percentile: Top 86%
Stock Market Forecasting Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.