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o TENDER UPDATES Tender Hari Sabtu 15 Agustus 2026 Tender Rehab Paska Bencana Banjir Sumbar Daftar Pemenang Tender — 15 Agustus 2026 Tender Proyek Konstruksi TNI LIST PEMENANG TENDER 19 AGUSTUS 2026 Tender Hari Kamis 20 Agustus 2026 o BUSINESS UPDATES Bisnis Helikopter Perkotaan Whitesky Aviation Ekosistem EV Indika Energy: INVI – KALISTA – ALVA o PROYEK BIOMASSA Peluang Proyek Rantai Pasok Biomassa o BUSINESS MATCHING Masuk Pasar Hilirisasi Pangan Pemeliharaan Kompetensi Tenaga Kerja Konstruksi Proyek Logistik Berbasis Drone Yoga Adiwinarto & Kalista Inovasi Industri Bahan Pangan, Herbal & Obat Kolaborasi Penghargaan Hilirisasi Industri Pangan o PROYEK EBT Memetakan Peluang Proyek Geothermal Indonesia o PROYEK SMELTER Proyek Hilirisasi Aluminium o TENDER PROYEK RAG WK Bobara — Ultra-Deepwater Exploration Mako Gas Field Development ENI — 4 Offshore Gas Fields East Kalimantan CGK2 Hyperscale Data Center Master Tender Oil & Gas Knowledge Base Proyek Regasifikasi LNG Nusa Tenggara - PLN EPI Master Tender Oil & Gas Knowledge Base (2) Pembangunan Rusun & Rumah Dinas TNI LIST PEMENANG — 15 AGUSTUS 2026 Master Tender Oil & Gas Knowledge Base (3) Master Tender Oil & Gas Knowledge Base (4) Clarity — PT Furni Karya Mandiri LIST PEMENANG — 18 AGUSTUS 2026 PT RAHMI IDA NUSANTARA Bakrie Pipe Industries (BPI) PT Mitra Bangun Konstruksi Megah PT Southern Tristar PT Mutuagung Lestari Tbk PT Fajar Benua Indopack PT Petrindo Semesta ABB IN INDONESIA LIST PEMENANG — 19 AGUSTUS 2026 BAJA PERKASA SENTOSA — BPS PT. SUKSES MANDIRI JAYA GEMILANG — SMJG SUCOFINDO — SMART BUILDING STRUCTURE & DIGITAL TIC TRANSFORMATION PT KOTAMINYAK INTERNUSA GARUDA YAMATO STEEL — GYS PT PP (PERSERO) TBK — PTPP KUTAI JAYA PUNDINUSA — KJP MASTER TENDER AWARD & VENDOR INTELLIGENCE INDEX PT TRINITAS SEJAHTERATAMA PT MITRACOMM EKASARANA PT INDUSTRI PIPA INDONESIA — IPI Proyek Hilirisasi Aluminium IGHES 2026 — Indonesia Geothermal Project, Technology & Supply Chain Opportunity Map Low-Altitude Economy Indonesia — Ekosistem Baru Transportasi Udara, Infrastruktur & Teknologi Yoga Adiwinarto & Kalista SIMGROUP PT CITO DIAGNOSTIKA UTAMA — CDULab Hilirisasi Industri Pangan MULTI-SECTOR PROJECT ECOSYSTEM 22 AGUSTUS 2026 o TENDER UPDATES RAG Tender Hari Selasa 18 Agustus 2026 Tender Hari Rabu 19 Agustus 2026 INDEKS RAG — TENDER AWARD / PEMENANG TENDER TENDER AWARD / PEMENANG TENDER Tender Hari Jumat 21 Agustus 2026 Tender Hari Sabtu 22 Agustus 2026 LIST PEMENANG — 21 AGUSTUS 2026 LIST PEMENANG — 22 AGUSTUS 2026 MULTI-SECTOR AWARD INTELLIGENCE 21 AGUSTUS 2026 MULTI-SECTOR PROJECT INTELLIGENCE 21 AGUSTUS 2026 PROJECT DEMAND × SUPPLY CAPABILITY 21 AGUSTUS 2026 TECHNOLOGY, PRODUCT & SERVICE INTELLIGENCE 21 AGUSTUS 2026 POWER & INFRASTRUCTURE BUSINESS SIGNAL 21 AGUSTUS 2026 POWER INFRASTRUCTURE PROJECT ECOSYSTEM 21 AGUSTUS 2026 DARI AWARD MENJADI PROJECT KNOWLEDGE MULTI-SECTOR AWARD INTELLIGENCE 22 AGUSTUS 2026 MULTI-SECTOR PROJECT INTELLIGENCE 22 AGUSTUS 2026 TECHNOLOGY, PRODUCT & SERVICE INTELLIGENCE 22 AGUSTUS 2026 o RAG TENDER STORE Aptella — Smart 3D Solutions PT Daiki Axis Indonesia o SINERGI INOVASI INDUSTRI Strategic Relationship FSII / TENDER INDONESIA - Kalista o ACADEMY Pemahaman Peluang Bisnis Pemboran Indonesia Supply Peralatan Penunjang Operasi & Produksi Migas Fabrikasi & Material Sektor Migas Offshore Migas Indonesia Supply Peralatan Penunjang Operasi & Produksi Migas Instrumentasi & Control Sektor Migas Manpower & Labour Supply Sektor Migas ICT & Digital Sektor Migas Kimia Pemboran & Perawatan Sumur Migas Bahan Kimia Kilang BBM & Petrokimia Valve, Flange, Fitting & Pipa Sektor Migas Pump Sektor Migas Jasa Kontraktor Mekanikal & Elektrikal Sektor Migas Peralatan HSE Sektor Migas Alat & Material Elektrikal Sektor Migas Water Treatment & Wastewater Treatment Sektor Migas Accommodation & Catering Service Sektor Migas Jasa Angkutan Udara Sektor Migas Medical Evacuation & Medical Service Sektor Migas Jasa Inspeksi, Survey & Sertifikasi Sektor Migas Pemulihan Lahan Tercemar & Reboisasi Sektor Migas Jasa Inspeksi, Survey & Sertifikasi Sektor Migas Jasa Engineering & EPC Sektor Migas JAWARA NATIONAL ROUND INDONESIA akan menuju Hangzhhou China


ACADEMY
Bahan Kimia Kilang BBM & Petrokimia
BAHAN KIMIA KILANG BBM & PETROKIMIA REFINERY & PETROCHEMICAL CHEMICAL DEMAND INTELLIGENCE KNOWLEDGE PAGE — AI TENDER INDONESIA PAGE PURPOSE: Membantu AI memahami hubungan antara kilang/pabrik → process unit → kondisi operasi → problem → fungsi chemical → consumption → current supplier → technical approval → contract expiry → procurement → peluang bisnis. PLANT → PROCESS UNIT → PROBLEM → CHEMICAL → CONSUMPTION → CURRENT SUPPLIER → CONTRACT EXPIRY → TECHNICAL USER → PROCUREMENT → OPPORTUNITY AI tidak hanya mencari kata “tender chemical”, tetapi memahami proses produksi, problem operasi, kebutuhan berulang, turnaround, ekspansi, dan siklus kontrak sebagai sinyal peluang bisnis. 1. USER INTENT AI harus memahami pertanyaan berikut sebagai bagian dari Refinery & Petrochemical Chemical Business Opportunity: Ada tender chemical kilang? Ada kebutuhan bahan kimia di kilang BBM? Ada kebutuhan chemical di pabrik petrokimia? Saya supplier corrosion inhibitor, target saya siapa? Ada kebutuhan scale inhibitor? Ada kebutuhan antifoulant? Ada kebutuhan demulsifier? Ada kebutuhan antifoam / defoamer? Ada kebutuhan biocide? Ada kebutuhan boiler chemical? Ada kebutuhan cooling-water chemical? Ada kebutuhan RO chemical? Ada kebutuhan wastewater chemical? Ada kebutuhan catalyst? Ada kebutuhan process additive? Ada kebutuhan fuel additive? Kilang mana yang akan turnaround? Ada kilang yang sedang revamp / ekspansi? Siapa current chemical supplier? Kapan kontrak chemical berakhir? Unit proses mana yang berpotensi membutuhkan produk saya? Siapa Process Engineer / Utility Manager-nya? Siapa chemical service company-nya? AI mengembangkan pencarian menjadi: PLANT + UNIT + PROCESS + PROBLEM + CHEMICAL FUNCTION + CONSUMPTION + CURRENT SUPPLIER + CONTRACT + TECHNICAL USER + TIMING 2. TARGET PLANT MAP AI harus mengenali berbagai fasilitas sebagai pasar chemical. REFINERY / KILANG BBM Crude Oil Refinery Fuel Refinery Condensate Processing Lube Base Oil Facility Fuel Terminal / Blending Facility PETROCHEMICAL Olefin Plant Aromatic Plant Polymer Plant Methanol Plant Ammonia / Fertilizer-related Process Derivative Chemical Plant Specialty Chemical Plant SUPPORTING FACILITY Boiler Cooling Tower Water Treatment Demineralization RO Wastewater Treatment Tank Farm Utility System AI LOGIC: SETIAP PROCESS PLANT = MULTIPLE CHEMICAL APPLICATIONS 3. THREE MAJOR CHEMICAL MARKETS A. PROCESS CHEMICALS Potential products: Corrosion Inhibitor Scale Inhibitor Antifoulant Dispersant Demulsifier Antifoam / Defoamer Neutralizing Agent H2S Treatment Chemical Oxygen Scavenger Polymerization Inhibitor Process Additive Cleaning Chemical CHARACTER: PROCESS CRITICAL • PERFORMANCE DRIVEN B. UTILITY & WATER-TREATMENT CHEMICALS Potential products: Boiler Water Treatment Cooling Water Treatment Scale Control Corrosion Control Biocide RO Chemical Demineralization Chemical Antifoam Wastewater Treatment Chemical Coagulant / Flocculant sesuai aplikasi CHARACTER: CONTINUOUS CONSUMPTION • RECURRING BUSINESS C. PRODUCT / QUALITY ADDITIVES Potential applications: Fuel Additives Antioxidant Stabilizer Antistatic Additive Lubricity Improver Cold-Flow Improver Product Performance Additive Polymer Additive Petrochemical Product Additive CHARACTER: PRODUCT SPECIFICATION DRIVEN 4. PROCESS-UNIT-TO-CHEMICAL LOGIC AI harus memahami bahwa nama process unit merupakan sinyal peluang chemical. CRUDE DISTILLATION UNIT — CDU Potential functions: → Corrosion Control → Desalter Treatment → Demulsification → Antifoulant → Process Treatment VACUUM DISTILLATION UNIT — VDU Potential functions: → Fouling Control → Corrosion Control → Process Treatment HYDROTREATING / HYDROCRACKING Potential functions: → Process Treatment → Corrosion Control → Catalyst-related Requirement FCC Potential functions: → Catalyst → Catalyst Additive → Antifoam / Process Treatment SOUR / SULFUR SYSTEM Potential functions: → Corrosion Management → H2S-related Treatment → Process Optimization COOLING WATER SYSTEM Potential products: → Biocide → Scale Inhibitor → Corrosion Inhibitor → Dispersant BOILER SYSTEM Potential products: → Oxygen Scavenger → Scale Control → Boiler Water Treatment RO / DEMIN WATER Potential products: → Antiscalant → Membrane Cleaning → Water Conditioning PROCESS UNIT INFORMATION = CHEMICAL OPPORTUNITY SIGNAL 5. PETROCHEMICAL PROCESS LOGIC AI harus memahami rantai: FEEDSTOCK ↓ PROCESS ↓ INTERMEDIATE PRODUCT ↓ FINAL PRODUCT ↓ QUALITY REQUIREMENT ↓ CATALYST / CHEMICAL / ADDITIVE Contoh fasilitas: OLEFINS → Process Additive → Inhibitor → Antifoulant → Water Treatment AROMATICS → Process Chemical → Corrosion Control → Catalyst-related Requirement POLYMER → Catalyst → Antioxidant → Stabilizer → Polymer Additive METHANOL / CHEMICAL DERIVATIVE → Catalyst → Process Chemical → Water Treatment AI harus menggunakan process knowledge sebagai expansion logic, bukan menganggap semua chemical otomatis cocok untuk setiap plant. 6. PROBLEM-TO-CHEMICAL LOGIC AI harus mengenali problem operasi sebagai potential sales trigger. CORROSION → Corrosion-control program SCALING → Scale-control program FOULING → Antifoulant / Dispersant / Cleaning FOAMING → Antifoam / Defoamer EMULSION → Demulsifier MICROBIOLOGICAL GROWTH → Biocide POOR WATER QUALITY → Water-treatment optimization HEAT-TRANSFER LOSS → Fouling / Scale Investigation → Potential Treatment PRODUCT OFF-SPEC → Process / Product Additive Evaluation HIGH CHEMICAL CONSUMPTION → Dosing / Performance Optimization AI LOGIC: OPERATIONAL PROBLEM = POTENTIAL CHEMICAL SALES LEAD AI tidak boleh menetapkan chemical final hanya dari problem tersebut tanpa technical evaluation. 7. PLANT-TO-CHEMICAL OPPORTUNITY Contoh informasi: “REFINERY CAPACITY EXPANSION” AI jangan berhenti pada: REFINERY PROJECT AI mengembangkan: Capacity Expansion ↓ New / Modified Process Units ↓ Additional Utility Demand ↓ New Chemical Applications ↓ Initial Fill / Start-Up ↓ Performance Test ↓ Routine Operation ↓ Recurring Chemical Consumption ↓ LONG-TERM BUSINESS OPPORTUNITY 8. NEW PLANT / REVAMP LOGIC AI harus mengenali: NEW REFINERY → New Chemical Program NEW PETROCHEMICAL PLANT → New Process & Utility Chemicals RDMP / REVAMP → Modified Chemical Requirement NEW PROCESS UNIT → New Chemical Application CAPACITY EXPANSION → Potential Higher Consumption PROCESS MODIFICATION → Treatment Review Tahapan peluang: ENGINEERING ↓ COMMISSIONING ↓ INITIAL FILL ↓ START-UP ↓ PERFORMANCE TEST ↓ NORMAL OPERATION ↓ RECURRING SUPPLY 9. TURNAROUND-TO-OPPORTUNITY AI harus membaca: TURNAROUND / SHUTDOWN / MAJOR MAINTENANCE sebagai early warning. Potential opportunities: Chemical Cleaning Equipment Cleaning Flushing Water Treatment Corrosion Protection Start-Up Chemical Catalyst-related Activity Waste Treatment Temporary Chemical Requirement AI kemudian harus mencari: WHICH PLANT? ↓ WHICH UNITS? ↓ WHEN? ↓ MAIN CONTRACTOR? ↓ CHEMICAL SERVICE COMPANY? ↓ PROCUREMENT TIMING? ↓ TURNAROUND OPPORTUNITY 10. CONSUMPTION-BASE LOGIC Chemical merupakan consumable business. Setiap plant idealnya mempunyai: PLANT ↓ PROCESS UNIT ↓ CHEMICAL APPLICATION ↓ CURRENT PRODUCT ↓ CURRENT SUPPLIER ↓ DOSING / CONSUMPTION PATTERN ↓ PERFORMANCE ↓ CONTRACT PERIOD ↓ CONTRACT EXPIRY ↓ NEXT OPPORTUNITY Ini merupakan salah satu database paling bernilai untuk Business Development. 11. CONTRACT-EXPIRY LOGIC AI harus menganggap: CONTRACT EXPIRY = SALES TRIGGER Alurnya: CURRENT CONTRACT ↓ CONTRACT PERIOD ↓ EXPIRY APPROACHING ↓ TECHNICAL REVIEW ↓ ALTERNATIVE PRODUCT EVALUATION ↓ LAB / PLANT TRIAL ↓ TECHNICAL QUALIFICATION ↓ REBID / PROCUREMENT ↓ NEW SUPPLIER OPPORTUNITY Idealnya AI memberikan early warning: 12 MONTHS BEFORE EXPIRY → Relationship & Intelligence 6–9 MONTHS → Technical Engagement 3–6 MONTHS → Qualification / Trial PROCUREMENT → Commercial Competition Timeline bersifat indikatif dan harus disesuaikan dengan prosedur masing-masing perusahaan. 12. TECHNICAL-APPROVAL LOGIC Chemical kilang bukan sekadar: PRICE → TENDER → PO AI harus memahami: PROCESS / OPERATING PROBLEM ↓ TECHNICAL REQUIREMENT ↓ CHEMICAL PROPOSAL ↓ LAB / COMPATIBILITY TEST ↓ TECHNICAL EVALUATION ↓ FIELD / PLANT TRIAL ↓ PERFORMANCE MONITORING ↓ HSE / MATERIAL APPROVAL ↓ TECHNICAL APPROVAL ↓ PROCUREMENT ↓ REPEAT SUPPLY MASUK SEBELUM TENDER = TECHNICAL ENGAGEMENT Tetap mengikuti vendor qualification, governance, HSE dan prosedur procurement yang berlaku. 13. VOLUME-TO-OPPORTUNITY LOGIC AI dapat membuat estimasi indikatif: PLANT CAPACITY × PROCESS UNIT × OPERATING RATE × CHEMICAL APPLICATION × INDICATIVE CONSUMPTION ↓ POTENTIAL CHEMICAL DEMAND AI dapat mengelompokkan: TACTICAL OPPORTUNITY Volume kecil / application terbatas SIGNIFICANT OPPORTUNITY Consumption rutin STRATEGIC ACCOUNT Large plant + continuous consumption + multiple applications Semua estimasi harus diberi label: INDICATIVE COMMERCIAL ESTIMATE — NOT ENGINEERING DOSING RECOMMENDATION 14. OPPORTUNITY TRIGGER AI harus mengenali minimal: NEW REFINERY / PLANT → New Chemical Program NEW PROCESS UNIT → New Application REVAMP / RDMP → Changed Chemical Requirement CAPACITY INCREASE → Higher Potential Consumption TURNAROUND → Cleaning / Start-Up / Catalyst Opportunity CORROSION ISSUE → Treatment Review FOULING ISSUE → Antifoulant / Cleaning SCALE ISSUE → Scale Treatment FOAMING ISSUE → Antifoam Evaluation PRODUCT OFF-SPEC → Additive / Process Optimization WATER-QUALITY ISSUE → Water Treatment ENVIRONMENTAL REQUIREMENT → Treatment Opportunity CHEMICAL UNDERPERFORMANCE → Optimization / Replacement CONTRACT EXPIRY → Requalification / Rebid 15. BUYER ECOSYSTEM AI jangan menganggap plant owner selalu membeli langsung. REFINERY / PETROCHEMICAL OWNER ↓ PROCESS LICENSOR ↓ ENGINEERING / EPC ↓ CHEMICAL SERVICE COMPANY ↓ WATER-TREATMENT COMPANY ↓ CATALYST / CHEMICAL PRINCIPAL ↓ AUTHORIZED DISTRIBUTOR ↓ LOCAL SUPPLIER AI harus menjawab: WHO SPECIFIES? WHO RECOMMENDS? WHO TESTS? WHO APPROVES? WHO USES? WHO BUYS? 16. KEY PERSON MAP PROCESS / TECHNOLOGY Process Manager Process Engineer Process Technologist Technology Manager OPERATION Refinery Manager Plant Manager Operations Manager Production Manager Unit Supervisor RELIABILITY / INTEGRITY Reliability Manager Corrosion Engineer Asset Integrity Engineer Inspection Engineer UTILITY / WATER Utility Manager Water Treatment Engineer Environmental Engineer TURNAROUND Turnaround Manager Maintenance Manager Shutdown Coordinator PROCUREMENT SCM Manager Procurement Manager Contract Engineer Buyer Vendor Management ACCESS FORMULA: TECHNICAL USER + OPERATION + PROCUREMENT 17. CHEMICAL SERVICE COMPANY DATABASE Setiap service company idealnya mempunyai: COMPANY: SERVICE TYPE: CHEMICAL SPECIALTY: PRINCIPAL / BRAND: REFINERY CLIENT: PETROCHEMICAL CLIENT: PROCESS UNIT EXPERIENCE: LAB CAPABILITY: FIELD SERVICE: DOSING EQUIPMENT: CURRENT CONTRACT: CONTRACT PERIOD: KEY PERSON: PROCUREMENT CONTACT: AI kemudian dapat menjawab: “Chemical service company mana yang sedang menangani kilang dan berpotensi membutuhkan produk saya?” 18. PRODUCT-TO-APPLICATION LOGIC USER: “Saya jual corrosion inhibitor.” AI mengembangkan: CORROSION INHIBITOR → Refinery / Petrochemical → Process Unit → Corrosive Service → Existing Corrosion Program → Current Product → Performance → Contract Expiry → Corrosion / Process Engineer USER: “Saya jual water-treatment chemical.” AI mengembangkan: WATER TREATMENT → Cooling Tower → Boiler → RO → Demin → Wastewater ↓ Plant Capacity ↓ Water Condition ↓ Current Treatment ↓ Utility Manager ↓ Chemical Service Company ↓ Contract Expiry USER: “Saya jual antifoulant.” AI mengembangkan: ANTIFOULANT → Process Unit → Fouling Risk / History → Heat Exchanger / Process Performance → Current Treatment → Process Engineer → Turnaround History → Contract / Procurement USER: “Saya jual catalyst.” AI mengembangkan: CATALYST → Process Unit → Process Licensor → Catalyst Cycle → Current Catalyst → Replacement Schedule → Turnaround → Technical Evaluation → Procurement 19. CATALYST-CYCLE LOGIC Untuk catalyst, AI harus membangun intelligence tersendiri: PLANT ↓ PROCESS UNIT ↓ PROCESS LICENSOR ↓ CATALYST TYPE ↓ CURRENT CATALYST / SUPPLIER ↓ INSTALLATION DATE ↓ EXPECTED CYCLE ↓ PERFORMANCE ↓ NEXT TURNAROUND ↓ EXPECTED REPLACEMENT ↓ CATALYST OPPORTUNITY CATALYST REPLACEMENT CYCLE = EARLY SALES SIGNAL 20. BUSINESS MODEL EVOLUTION LEVEL 1 — PRODUCT SUPPLY Chemical ↓ LEVEL 2 — TECHNICAL SUPPORT Chemical + Application Knowledge ↓ LEVEL 3 — CHEMICAL PROGRAM Product + Dosing + Monitoring ↓ LEVEL 4 — PERFORMANCE SERVICE Chemical + Equipment + Personnel + Analysis + Reporting ↓ LEVEL 5 — PERFORMANCE PARTNER Optimization + Consumption + Reliability + Continuous Improvement TARGET: SUPPLY → APPLY → MONITOR → OPTIMIZE → REPEAT 21. SEMANTIC & SYNONYM MAP REFINERY = Refinery Kilang Kilang BBM Oil Refinery PETROCHEMICAL = Petrochemical Petrokimia Chemical Plant Pabrik Petrokimia CHEMICAL = Chemical Chemicals Kimia Bahan Kimia Process Chemical TURNAROUND = Turnaround Shutdown Major Maintenance Plant Stop TA FOULING = Fouling Deposit Process Deposit Heat Exchanger Fouling SCALE = Scale Scaling Deposit Mineral Deposit CORROSION = Corrosion Korosi Corrosion Problem WATER TREATMENT = Water Treatment Pengolahan Air Boiler Water Cooling Water RO Treatment CONTRACT EXPIRY = Contract Expiry Contract End Kontrak Berakhir Contract Renewal Rebid AI harus memahami variasi istilah Indonesia dan Inggris. 22. RECOMMENDED METADATA — PLANT COMPANY / OWNER: PLANT NAME: PLANT TYPE: Refinery / Petrochemical LOCATION: CAPACITY: FEEDSTOCK: MAIN PRODUCTS: PROCESS UNITS: UTILITY SYSTEMS: PROJECT / REVAMP: TURNAROUND SCHEDULE: KEY PERSON: SOURCE / DATE: 23. RECOMMENDED METADATA — CHEMICAL APPLICATION PLANT: PROCESS UNIT: APPLICATION: OPERATING PROBLEM: CHEMICAL CATEGORY: CHEMICAL FUNCTION: CURRENT PRODUCT: CURRENT BRAND / PRINCIPAL: CURRENT SUPPLIER: SERVICE COMPANY: CONSUMPTION PATTERN: PERFORMANCE STATUS: TECHNICAL APPROVAL STATUS: CONTRACT START: CONTRACT EXPIRY: PROCUREMENT STATUS: TECHNICAL USER: KEY PERSON: OPPORTUNITY TRIGGER: SOURCE / DATE: 24. AI OUTPUT EXAMPLE — PROCESS CHEMICAL Jika user bertanya: “SAYA SUPPLIER CORROSION INHIBITOR. KILANG MANA YANG POTENSIAL?” AI memberikan: OPPORTUNITY 01 Company / Plant: ... Process Unit: ... Application: ... Potential Problem: ... Current Treatment: ... Current Supplier: ... Performance Status: ... Contract Expiry: ... Opportunity Trigger: ... Technical User: ... Potential Buyer: ... Procurement Timing: ... Recommended BD Action: ... Source: ... 25. AI OUTPUT EXAMPLE — WATER TREATMENT Jika user bertanya: “SAYA SUPPLIER WATER-TREATMENT CHEMICAL. TARGET SAYA DI MANA?” AI memberikan: OPPORTUNITY 01 Plant: ... Utility System: Cooling / Boiler / RO / Demin / Wastewater Plant Capacity: ... Potential Application: ... Current Treatment: ... Chemical Service Company: ... Potential Issue: ... Contract Expiry: ... Utility / Technical User: ... Procurement Timing: ... Recommended Action: ... Source: ... 26. BUSINESS DEVELOPMENT LOGIC AI tidak berhenti pada: “ADA TENDER CHEMICAL?” AI mengembangkan: ADA KILANG / PABRIK APA? ↓ UNIT PROSES APA? ↓ BAGAIMANA KONDISI OPERASINYA? ↓ ADA PROBLEM APA? ↓ FUNGSI CHEMICAL APA YANG RELEVAN? ↓ SIAPA CURRENT SUPPLIER? ↓ BERAPA CONSUMPTION-NYA? ↓ BAGAIMANA PERFORMANCE-NYA? ↓ KAPAN KONTRAK BERAKHIR? ↓ SIAPA TECHNICAL USER? ↓ PERLU LAB / PLANT TRIAL? ↓ KAPAN TECHNICAL QUALIFICATION? ↓ KAPAN PROCUREMENT? ↓ BUSINESS OPPORTUNITY 27. NEXT QUESTION RECOMMENDATION Setelah menjawab, AI dapat menawarkan: Cari Daftar Kilang BBM Cari Pabrik Petrokimia Cari berdasarkan Company / Plant Cari Process Unit Cari Refinery Expansion / RDMP Cari New Petrochemical Project Cari Turnaround / Shutdown Cari Corrosion Inhibitor Cari Scale Inhibitor Cari Antifoulant Cari Demulsifier Cari Antifoam Cari Biocide Cari Water Treatment Cari Boiler Chemical Cari Cooling-Water Chemical Cari RO Chemical Cari Catalyst Cari Product Additive Cari Current Supplier Cari Contract Expiry Cari Chemical Service Company Cari Technical User Cari Tender / RFQ Cari Business Matching AI TENDER INDONESIA REFINERY & PETROCHEMICAL CHEMICAL DEMAND INTELLIGENCE PLANT → PROCESS UNIT → PROBLEM → CHEMICAL → CONSUMPTION → CURRENT SUPPLIER → CONTRACT EXPIRY → TECHNICAL USER → PROCUREMENT → OPPORTUNITY MAP THE PLANT UNDERSTAND THE PROCESS FIND THE OPERATING PROBLEM IDENTIFY THE CHEMICAL APPLICATION TRACK CURRENT SUPPLIER & CONTRACT ENTER BEFORE TECHNICAL APPROVAL & PROCUREMENT JANGAN HANYA MENCARI “TENDER CHEMICAL”. PETAKAN KILANG → PAHAMI PROCESS UNIT → TEMUKAN PROBLEM → PETAKAN CHEMICAL APPLICATION → KENALI CURRENT SUPPLIER & CONSUMPTION → PANTAU CONTRACT EXPIRY → TEMUKAN TECHNICAL USER → MASUK SEBELUM PROCUREMENT. FROM PLANT & PROCESS INTELLIGENCE → TO RECURRING CHEMICAL BUSINESS OPPORTUNITY
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