Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images

  • Citra Nurina Prabiantissa Politeknik Elektronika Negeri Surabaya, Indonesia
  • Achmad Basuki Politeknik Elektronika Negeri Surabaya, Indonesia
  • Wahjoe Tjatur Sesulihatien Politeknik Elektronika Negeri Surabaya, Indonesia
DOI: https://doi.org/10.24003/emitter.v7i1.383
Keywords: Fish Dissemination, K-Means, Lagrange Interpolation, Segmentation, Satellite Images

Abstract

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images.  This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.

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Published
2019-06-15
How to Cite
Prabiantissa, C. N., Basuki, A., & Sesulihatien, W. T. (2019). Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images. EMITTER International Journal of Engineering Technology, 7(1), 343-365. https://doi.org/10.24003/emitter.v7i1.383
Issue
Vol 7 No 1 (2019)
Section
Articles

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