UTILIZING K-MEDOIDS TO SEGMENT PRODUCTION OF COMMERCIAL PELAGIS FISH CATCHES IN PAPUA

Abstract

Papua's marine tapestry, woven with threads of Cakalang, Tuna, and Kakap, holds immense commercial value, yet its intricate patterns demand unraveling for sustainable management and economic prosperity. This research wields the K-Medoids, a robust clustering tool, to dissect the secrets hidden within the region's fish catches. By parsing factors like species composition, catch volume, and fishing grounds, K-Medoids reveals the hidden nuances of these prized fish – where they congregate, their seasonal rhythms, and the spatial choreography of fishing activities. Through this lens, we glean invaluable insights into the very essence of Papua's marine riches. Speciation patterns emerge, painting a picture of where Cakalang, Tuna, and Kakap flourish. Seasonal fluctuations dance across the data, revealing peaks and troughs in their abundance. The geographical canvas comes alive, showcasing the precise dance between fishing effort and fish populations. After comparing clusters from 2 to 30, our analysis indicates optimal segmentation with 2 clusters, yielding a Silhouette Score of 0.371660 and an Inertia value of 660.677071. The accompanying graphical representation serves as compelling evidence of this outcome. Armed with these insights, K-Medoids paves the way for informed management strategies, optimized fishing practices, and region-specific policies that ensure the harmonious coexistence of industry and environment. This study is a testament to the power of data-driven analysis, guiding us towards a future where Papua's fisheries flow with sustainable prosperity.