<![CDATA[Autonomous electric ships (AES) combine battery-electric propulsion with advanced navigation and shore-side supervision. This paper develops a source-traceable conceptual screening framework for their potential deployment on Indonesian inter-island routes. The analysis is based on the published scope of Statistics Indonesia (BPS) Sea Transportation Statistics for 2021–2024, International Maritime Organization (IMO) instruments on greenhouse gases, maritime autonomous surface ships (MASS), and collision prevention, together with peer-reviewed studies of autonomous navigation and ship electrification. A proposed four-layer architecture links battery and propulsion safety, multimodal perception and COLREGs decision support, resilient communications, and human-supervised shore services. The assessment specifies indicators needed for corridor selection and equations for future energy, well-to-wake emissions, and cost comparisons. It does not report measured AES emissions, economic payback, collision-avoidance performance, or route-specific battery sizing, because the corresponding engineering logs and test datasets were not supplied. The contribution is a transparent design and validation agenda rather than a completed technology demonstration]]>
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