Abstract

Aquatic plants and macroalgae in the waters of Nepa, Banyuates District, Sampang Regency have great potential in the field of pharmacology, particularly as candidates for antidiabetes drugs. This study aims to identify types of aquatic plants and macroalgae and analyze the potential bioactive compounds they contain through in silico testing. The research was conducted in the waters of Nepa, Banyuates District, Sampang Regency, at three stations using the line transect method. Identification results showed 1 type of aquatic plant, Thalassia hemprichii, and 6 types of macroalgae, namely Ulva flexuosa, Neomeris annulata, Spongomorpha aeruginosa, Padina australis, Sargassum swartzii, and Acanthophora spicifera. The diversity index (H’) values obtained ranged from 0.320±0.088 to 0.504±0.109, which falls into the low category (H’ < 3). The evenness index (E) values ranged from 0.392±0.077 to 0.521±0.167, classified as low (E < 0.4) and moderate (0.4 ≤ E ≤ 0.6). The dominance index (C) values were 0.721±0.077 to 0.822±0.069 falls into the moderate (0.50 < C ≤ 0.75) and high (0.75 < C ≤ 1) categories. The water quality values for temperature range from 31.3±0.20˚C to 33.1±0.87˚C; pH ranges from 7.48±0.32 to 8.44±0.12; DO ranges from 6.9±0.21 mg/L to 8.6±0.44 mg/L; salinity ranges from 33.7±0.33 ppt to 34.7±0.33 ppt. The compounds Luteolin, Thalassiolin A, Apigenin, and Tetraneurin A have potential as antidiabetic candidates in silico, with affinity values surpassing the positive control compound acarbose, which has a binding affinity of -7.3 kcal/mol.