Assessing Readiness for AI and Blockchain Integration in Indonesia's Coconut Ecosystem: A Multi-Stakeholder Analysis

Abstract

Introduction: Indonesia, a leading coconut producer, faces supply chain inefficiencies, traceability challenges, and limited value-added processing. While AI and blockchain offer solutions, successful adoption requires a comprehensive readiness assessment.

Objectives: This study evaluates Indonesia's coconut ecosystem readiness across six dimensions: knowledge, infrastructure, human capital, regulatory frameworks, financial resources, and process maturity.

Methods: A qualitative survey of 18 stakeholders (government officials, processors, collectors, suppliers, farmers, breeders, and associations) was conducted from June to October 2025 using thematic analysis.

Results: Results reveal a "readiness paradox": high adoption enthusiasm despite significant capability gaps. The Composite Technology Readiness Index scored 2.3/10 (pre-readiness stage), with over 80% possessing minimal AI/blockchain knowledge. Critical gaps include regulatory frameworks (10% readiness), human capital (20%), knowledge (20%), and process maturity (20%), while infrastructure showed relatively better readiness (30%).

Conclusions:Key pain points price volatility, transparency deficits, and traceability inadequacies, align well with technology capabilities. Universal concern for farmer welfare provides a strong foundation for multi-stakeholder collaboration.