Data & AI Client Success Portfolio | PT SIbernetik Integra Data

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Our Portfolio

Explore how Sibernetik empowers Indonesian enterprises to master their digital evolution. Discover our track record of delivering extraordinary Data and AI solutions—from high-scale Data Engineering and Generative AI to seamless Infrastructure Migration.

Learn How We Help Our Clients

OCBC

CDC Implementation

Modernized core banking operations by replacing delayed batch-based extraction from AS400 and SQL servers with Real-time Change Data Capture (CDC) via Qlik Replicate. By streaming data directly into Kafka, the system achieved near real-time replication and significantly improved data availability for operational reporting. This transition effectively eliminated replication delays to downstream platforms that previously hindered data flow.

Bank Sinarmas

CDC & Data Stream Banking Implementation

Replacing slow, high-load batch processing with a Real-time Change Data Capture (CDC) system to speed up data flow from T24 core banking. By streaming data through Kafka to HBase and Cloudera, the team achieved near real-time replication and better data access for customer inquiries and reporting. This update reduced pressure on core systems and created a scalable foundation for future data needs.

BNI

CDC & Data Stream Implementation

Modernized how core banking data is handled by using a new architecture to capture and move data changes as they happen. By replacing messy, high-risk pipelines with a unified and standardized system, the team improved data reliability and speed for reporting and future AI projects. This update also lowers the strain on core systems and provides better monitoring to meet banking regulations.

BNI

ACL RR Implementation

Simplifies the process of creating regulatory reports by moving existing summary data out of the Teradata system for faster access. The team improved data availability by mapping information from its original source directly to a new system called ARM. This update successfully automated the development of important reports.

BNI

ODS ODW Enhancement EN

Adding a real-time connection between transaction modules and data storage to handle over 15 million daily transactions for loans and savings. By using IBM Data Replicator and Kafka, the team created a way to track transaction history and master data instantly. This update included new data modeling and mapping to ensure all information is properly integrated and organized.

BRI

CDC Data Stream

Fixing the issue of slow data access and high costs from traditional batch processing by using Change Data Capture (CDC) to read only changed data from AS400 journals. By streaming this data through Kafka into HBase and Hadoop, the system provides real-time information for faster business decisions without slowing down the core banking systems. This new setup significantly lowered data transfer costs and made the entire process more efficient.

Kemendagri

Population Data Dashboard Visualization

Introduced a Business Intelligence platform to provide map-based visualizations of population data across Indonesia's thousands of islands. The solution uses server-side processing to handle massive amounts of data efficiently without needing expensive local hardware while keeping sensitive information secure. As a result, the government now has real-time, interactive dashboards that help them make faster and more accurate policy decisions.

Imigrasi x Telkom pins

Biometric Matching Systems

Creating a specialized gateway to connect a new passport application with an existing core system and biometric backend. By building this intermediary layer, the team ensured the smooth and secure synchronization of sensitive biometric data across platforms. The result is a modernized immigration service that allows for stable communication between systems without disrupting existing operations.

High Capacity Sensor Based Cyber Security Monitoring System

Monitoring internet traffic across Indonesia by creating a secure dashboard to process and analyze network data. The solution uses new tools to detect unusual activity and provides a complete system for identifying and recovering from security issues. As a result, the project now delivers fast, national-level analysis to help respond to cyber incidents effectively.

Sibernetik Security Sensor Appliance (SSA)

Improves cybersecurity by using deep traffic analysis and automated tools to defend against sophisticated threats. By centralizing data and automating responses, the system quickly detects and resolves security incidents to keep operations running smoothly. This setup creates a more efficient workflow that helps the organization stay resilient and meet strict regulatory standards.

Air Traffic Surveillance (ADSB)

Specialized application to monitor all flight movements and detect unusual activity within Indonesian airspace. The solution uses a notification system linked directly to radar data to provide real-time warnings for air traffic management. As a result, the institution now has a dedicated dashboard for tracking flights, alerts, and historical playback data.

Air & Land Border

Created an integrated dashboard that combines land and air data to monitor Indonesia's border regions. The system uses AI and radar to track threats, radio frequency signals, and geospatial changes like natural disasters or land shifts. This solution provides real-time alerts and comprehensive surveillance to help manage regional safety and security.

Media Forensic

Creating a specialized tool to track and analyze large amounts of real-time data from social media, news, and traditional media. The solution uses advanced modules to monitor public sentiment and community engagement through a single, unified dashboard. As a result, users can now easily categorize public opinions and export detailed reports to help make faster, data-driven decisions.

Pegadaian

CDC & Data Stream Implementation

Replacing old, restricted data systems with a modern event-driven platform using Qlik Replicate and Kafka to handle high transaction volumes. By capturing and streaming data changes in real-time, the solution provides immediate information to business processes while improving overall system flexibility and growth. The new setup also includes centralized monitoring to ensure the system stays reliable and easy for internal teams to manage.

Telkom x BSSN

National Security Sensor

Improves national cybersecurity by deploying high-capacity sensors to monitor Indonesia's massive internet traffic. It uses a specialized framework to process and analyze vast amounts of data without losing important details. As a result, the system can now detect and document security threats at a national scale, providing analysts with the clear information they need for investigations.

DEPHUB

I-Motion

Implementing a centralized single sign-on system, the team unified user identities and linked them directly to official data sources for automated verification. As a result, users can now easily access the entire application ecosystem with just one set of credentials, improving both security and work efficiency.

KLH

Ai Workspace & SLA Monitoring

By consolidating fragmented environmental data into a centralized Tableau platform, the team created a unified visualization for tracking air and water quality metrics nationwide. As a result, the ministry can now identify pollution hotspots instantly and monitor regional compliance with greater precision, enabling faster, data-driven interventions to protect the ecosystem.

KLHK

Dashboard Hotspot Kebakaran Hutan & Rekap kinerja Gakkum

By implementing an automated visual mapping system using Tableau, the team centralized scattered forest fire hotspot and legal case data into high-level dashboards. As a result, firefighting teams can now mobilize faster before fires spread, while the Gakkum can monitor performance and complaints with greater transparency, improving both strategic decision-making and operational efficiency.

BAPANAS

Sistem Intervensi Ketahanan Pangan

By developing a centralized web-based tracking platform and workflow engine, the team automated document movement and integrated real-time SLA monitoring using Tableau. As a result, stakeholders can now track document positions instantly and access accurate data visualizations for informed decision-making, significantly improving division accountability and operational efficiency.

XLSmart

Data Modelling

By implementing a Unified Data Model (UDM) and Silver Layer standardization, the team successfully harmonized raw data into a consistent "Single Source of Truth." As a result, the organization now benefits from clear canonical relationships and temporal tracking, enabling deep lifecycle insights and a scalable foundation for high-quality, downstream business intelligence.

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