AI and SPLP Speed Up Indonesia's Social Assistance with Secure, Integrated Data

AI-Powered Perlinsos: What Government Teams Need to Know

Indonesia's Ministry of Communication and Digital is applying AI and machine learning to digitize Social Protection (Perlinsos). The focus is clear: better targeting, faster verification, and secure data use across ministries and agencies.

The effort centers on a new targeting algorithm to process large datasets and a facial recognition feature to verify recipient identity. These features feed into an integrated service designed to improve accuracy and speed in social assistance delivery.

The Core System Components

• Targeting Algorithm: Identifies eligible recipients by processing high-volume data consistently and at scale.
• Facial Recognition: Confirms recipient identity to reduce duplication and fraud.
• Government Service Connector System (SPLP): A single hub that connects applications and data across ministries/agencies for greater validity, standardization, and service efficiency.

What This Means for Your Agency

• Unified gateway: A single entry point for candidate data that integrates with existing government systems.
• Faster verification: Streamlined checks enable quicker distribution with clearer accountability and auditability.
• Stronger public trust: Consistent data handling and transparent flows improve confidence in assistance programs.
• Operational collaboration: SPLP becomes the main channel for data integration and exchange across agencies.

Data Protection Is Front and Center

Security is being enforced across three phases: during storage, during transmission, and during use. All stages follow strict security standards and regulatory compliance to protect personal data and uphold accountability.

How to Prepare Your Team

• Data readiness: Map data sources, resolve duplicates, and align schemas to national standards to improve match rates and eligibility decisions.
• Integration readiness: Prepare APIs and metadata to connect to SPLP. Use consistent identifiers and validation rules.
• Identity assurance: Set clear policies for facial recognition use, consent handling, exception paths, and manual review.
• Governance: Define access controls, audit logging, incident response, and bias testing procedures. Document roles and decision rights.
• Capability building: Train staff on AI-assisted workflows, data quality, and privacy compliance.

Reference Materials

• NIST AI Risk Management Framework
• Indonesia Personal Data Protection Law (UU 27/2022)

With SPLP, sound data governance, and applied AI, Perlinsos is set up for faster service, more accurate eligibility, and stronger security-delivering practical gains agencies can act on now.