<![CDATA[Inflation control in archipelagic regions faces distinct challenges: dependence on inter-island supply, weather and shipping risks, and data fragmented across agencies. This article describes the design of SIKENDALI AMBON, a governance change project that integrates price, production, stock, demand, distribution, and logistics data into a logistics balance, an Early Warning System (EWS), and a Decision Support System (DSS) for Ambon City's Regional Inflation Control Team (TPID). A qualitative descriptive case-study approach was applied using secondary data from Statistics Indonesia (BPS), Bank Indonesia, and local government documents. Strategic issues were selected with the ASTRID criteria, organizational diagnosis used the Star Model, and the environment was analyzed with SWOT/TOWS. Local production meets only 22.27% of vegetable demand (2,516.89 of 11,304 tonnes per year), leaving 77.73% dependent on external supply, while Ambon's inflation fluctuated from 1.92% (2024) to 4.23% (December 2025) and 5.16% (January 2026). Process emerged as the main leverage point. The design shifts the paradigm from price monitoring to supply chain control through a logistics balance, three-level risk classification, collaborative governance, and phased implementation. An ex-ante appraisal estimates economic benefits of about IDR 5.09 billion per year for local government, distributors, traders, and the public. The article is conceptual and design-oriented; the system's effectiveness has not yet been empirically tested.]]>
