Fawaz, Fawaz (2023) PERBANDINGAN ALGORITMA SELF ORGANIZING MAPS DAN FUZZY C-MEANS DALAM CLUSTERING HASIL PRODUKSI IKAN PPN KARANGANTU. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Production data of fish located at PPN Karangantu in the years 2017-2021 has a total of 13429.7 tons, based on the production results of 58 types of fish in the last 5 years, and production data can be compared with the use of SOM and FCM algorithms to obtain the best cluster value. Cluster is one of the groupings that occur based on the same criteria. The purpose of comparing the two algorithms is to determine the type of fish variety, outstanding production and to know the low, medium and high fish species groups. There are 242 rows of dataset in csv form. To provide ease in data management, the researcher uses Matlab 2017b. The comparison of the two algorithms is based on the iteration value, Clustering results and error value. Based on the iteration value that occurred in the two algorithms, SOM has 200 iterations and FCM algorithm has 88 iterations, SOM test data MSE value is 0.68, while for FCM test data MSE is 4.6. So the SOM algorithm obtains the optimum and more effective results for Clustering. The Clustering results using SOM are in the low cluster 214, medium 18 and high 10. While in the Clustering results obtained from FCM, low cluster 4, medium 229 and high 8. Based on the research results, the SOM algorithm can determine the type of fish variety, outstanding production and determine the type of fish based on Clustering results at PPN Karangantu.
| Item Type: | Thesis (S1) |
|---|---|
| Uncontrolled Keywords: | Clustering, SOM, Fuzzy C-Mean, PPN Karangantu, Matlab |
| Subjects: | L Education > L Education (General) |
| Divisions: | UPI Kampus Serang > S1 Sistem Informasi Kelautan |
| Depositing User: | Fawaz |
| Date Deposited: | 03 Feb 2023 02:30 |
| Last Modified: | 03 Feb 2023 02:30 |
| URI: | http://repository.upi.edu/id/eprint/87900 |
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