| Autor: |
Putro, Sigit Susanto, Syarief, Mohammad, Rochman, Eka Mala Sari, Fuad, Muhammad, Fauzan, Hermawan Bin, Herawati, Sri, Rachmad, Aeri |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3176 Issue 1, p1-8, 8p |
| Abstrakt: |
Indonesia is a country with a region that has great potential in the maritime sector, 70% of its territory consists of 17,508 islands making Indonesia a maritime country with a coastline that stretches 108,000 km. Indonesia has unprecedented Salt Lake products from different locales like Sampang, Cirebon, Rembang, and Indramayu. These resources need to be detected and inventoried in an appropriate manner. Local communities are increasingly cornered and finding it difficult to compete. For the essential ware bunch, by keeping up with the security of the salt product in the public arena, whose capability is indispensable, the salt exchanging framework is directed. The examination objective is to utilize the K-Means Bunching strategy to bunch public salt products. Clustering is a method for data analysis, where each object is identified and grouped based on similarities or similarities in several aspects. The result of the testing the K-Means Clustering technique with the Silhouette Coefficient strategy show that the K-Means Clustering strategy with the nearest distance determined involving Euclidean Distance is a decent decision for research. The Silhouette Coefficient evaluation yielded results with k=2 and the value of 0.721. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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