A Data-Processing Framework for Coastal Litter Management: Integrating the Clean Coast Index and Beach Typology on the Sukabumi Coast, Indonesia

Coastal litter management often lacks a clear linkage between empirical data and management decision-making. This study develops a data-processing framework for coastal litter management by integrating the Clean Coast Index (CCI) with beach typology to produce a structured decision-support tool. Litter data were collected from fourteen beaches along the Sukabumi coast, West Java, Indonesia, using standardized transect-based surveys and classified by material type. Raw observations were transformed into CCI values to enable comparability and subsequently categorized into ordinal cleanliness classes. Beach typology was introduced as an independent contextual variable representing differences in accessibility and management capacity. Both dimensions were integrated into a matrix-based framework, the Beach Litter Management Table, to derive differentiated management priorities. Results show that plastic dominates litter composition and that litter pressure is spatially heterogeneous, with critical conditions occurring even on remote beaches. The framework demonstrates how coastal litter management can be analytically derived from structured data processing rather than normative judgment.

Keywords: coastal litter, Clean Coast Index, beach typology, data processing