Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)

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Mapping the Marine Fisheries Sector of Regencies/Cities in East Java in 2016–2020 with Fuzzy K-Means Clustering Method

Authors
Farizi Rachman1, *, R. A. Norrromadani Yuniati2, Mohammad Basuki Rahmat3, Ryan Yudha Adhitya4, Devrinzca Sukma Dewanata2
1Design and Manufacture Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
2Management Business, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
3Marine Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
4Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
*Corresponding author. Email: farizirachman@ppns.ac.id
Corresponding Author
Farizi Rachman
Available Online 30 December 2022.
DOI
10.2991/978-2-494069-83-1_54How to use a DOI?
Keywords
fishery; fuzzy k-means; cluster
Abstract

This research will create a marine fisheries sector business cluster in East Java in 2016–2020. The method used in this research is Fuzzy K-Means. The Fuzzy K-Means clustering method has several advantages, including being able to make clusters optimally and robust against several disturbances. The results of the cluster will then be used as a basis for identifying the potential and shortcomings of marine fisheries sector businesses in regencies/cities in East Java. The mapping carried out resulted in 4 clusters with different characteristics. Sequentially, clusters A, B, C, and D are the clusters with the first highest, second highest, third highest, and lowest marine fishery business potential in East Java. The members of cluster A in 2016–2020 are Banyuwangi Regency, Lamongan Regency, Bangkalan Regency, and Sumenep Regency. Then the members of cluster B are Probolinggo Regency, Pasuruan Regency, Tuban Regency, Gresik Regency, Pamekasan Regency, and Probolinggo City. In cluster C, the members are Pacitan Regency, Malang Regency, Jember Regency, Situbondo Regency, Sidoarjo Regency, and Surabaya City. And in cluster D, are Tulungagung Regency, Blitar Regency, Lumajang Regency, and Pasuruan City. Meanwhile, cluster E contains 16 regencies/ cities in East Java that do not have marine fisheries data.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 December 2022
ISBN
10.2991/978-2-494069-83-1_54
ISSN
2352-5398
DOI
10.2991/978-2-494069-83-1_54How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Farizi Rachman
AU  - R. A. Norrromadani Yuniati
AU  - Mohammad Basuki Rahmat
AU  - Ryan Yudha Adhitya
AU  - Devrinzca Sukma Dewanata
PY  - 2022
DA  - 2022/12/30
TI  - Mapping the Marine Fisheries Sector of Regencies/Cities in East Java in 2016–2020 with Fuzzy K-Means Clustering Method
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
PB  - Atlantis Press
SP  - 300
EP  - 305
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-83-1_54
DO  - 10.2991/978-2-494069-83-1_54
ID  - Rachman2022
ER  -