Clustering of Potency of Shrimp In Indonesia With K-Means Algorithm And Validation of Davies-Bouldin Index
Firman Tempola, Achmad Fuad Assagaf
Available Online December 2018.
- https://doi.org/10.2991/icst-18.2018.148How to use a DOI?
- shrimp; clustering K-Means; Davies Bouldin Index
- Among ASEAN countries, Indonesia is first ranked shrimp producers. Although shrimp from Indonesia is one of the main producers in the ASEAN region, in fact the potential of each province has not been explained in detail, so it needs to be studied further related to shrimp production in every province in Indonesia. This research will do mapping the potential of shrimp per province in Indonesia. The method applied in doing the mapping is by using K-Means Clustering algorithm, with clustering validation used is davies bouldin index. The result showed that clustering position was in the sixth iteration for two clusters, cluster 1 became the best cluster with the value of SSW 0,13507 and the value of DBI 0,96. As for the division of 3 clusters only occur once iteration, the first cluster becomes the best cluster with the value of SSW 0.095 and the value of DBI 0.76. Thus from the distribution of the number of clusters formed then the division of 3 clusters is better than the division of 2 clusters.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Firman Tempola AU - Achmad Fuad Assagaf PY - 2018/12 DA - 2018/12 TI - Clustering of Potency of Shrimp In Indonesia With K-Means Algorithm And Validation of Davies-Bouldin Index BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 730 EP - 733 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.148 DO - https://doi.org/10.2991/icst-18.2018.148 ID - Tempola2018/12 ER -