AI Problem-To-Solution Matching - Dari Database Menjadi Mesin Pencari Peluang
TENDER INDONESIA & FSII mengembangkan knowledge berbasis AI agar informasi mengenai proyek, problem industri, teknologi, researcher dan capability member tidak berdiri sendiri.
Targetnya adalah membangun hubungan:
PROBLEM × TECHNOLOGY × RESEARCHER × MEMBER × PROJECT OWNER
Knowledge dapat mencakup:
PROJECT OWNER PROJECT INDUSTRIAL PROBLEM PROJECT NEED KEY PERSON RESEARCHER RESEARCH CAPABILITY LAB & FACILITY TECHNOLOGY PRODUCT EQUIPMENT MATERIAL MANUFACTURER MEMBER CAPABILITY
AI kemudian membantu menemukan hubungan antardata.
Contoh:
PLN mempunyai problem X ↓ AI menemukan research capability BRIN ↓ AI menemukan technology/equipment member ↓ TENDER INDONESIA melakukan Business Matching ↓ Research / Engineering / Pilot ↓ Industrial Application.
Atau:
Member mempunyai teknologi Y ↓ AI mencari problem/project yang relevan ↓ Mengidentifikasi potential user ↓ Business Matching.
- Problem industri apa yang cocok dengan produk saya? - Siapa researcher BRIN yang relevan? - Project owner mana yang membutuhkan teknologi ini? - Member apa yang dapat berkolaborasi? - Siapa manufacturer yang dapat membuat hasil penelitian? - Teknologi apa yang dapat menyelesaikan problem tertentu?
INDEKS RAG RINGKAS
Knowledge ID: BM-AIRAG-2026-01 Rubrik: Business Matching Platform: AI RAG TENDER INDONESIA Function: Knowledge Retrieval + Problem-to-Solution Matching + Project-to-Capability Matching Entities: Project; problem; technology; researcher; member; manufacturer; key person; solution. ACTION: Search → Identify → Match → Connect → Collaborate. OPPORTUNITY: Early opportunity discovery; research matching; technology application; member matching; commercialization. KEYWORDS: AI RAG, matching engine, industrial knowledge, problem-to-solution, project-to-capability.
