Clarias Size Clustering to Determine Market Segmentation Using K-Means Algorithm

Clarias is one of the fish that is easily found in Indonesia. Besides being cheap, clarias is easy to find in the market, both in traditional and modern markets. There are quite a lot of types of markets in Indonesia, so a grouping analysis is needed considering the market location based on the size of the fish. This analysis aims to make it easier for clarias farmers to distribute their crops according to existing market segments. Therefore, this study conducted a segmentation analysis of the clarias market using the K-Means algorithm to help clarias farmers in distributing clarias harvests to the appropriate market. The results of this study indicate that the sillhoutte value in the clarias dataset obtained
$\mathbf{K}$
values between 3 – 10 clusters (55.02% – 47.77%). The most optimal value is
$\mathbf{K}=3$
with a sillhoutte index value of 55.02%. This means that the application of the K-Means algorithm provides positive assumptions for market segmentation so that clarias farmers can distribute clarias harvests to the right market.