PEMODELAN SPASIAL PRODUKSI IKAN PADA INDUSTRI BUDIDAYA PERIKANAN DI KOTA CILEGON

Atia Sonda, Faula Arina, Ade Sri Mariawati, Asep Ridwan, Dyah Lintang Trenggonowati

Abstract


The aquaculture industry in Cilegon City is fairly substantial. In the year 2020, 230.09 tons of farmed fish were produced. In Cilegon City, fish production statistics is often used for each sub-district. So far, no research has been undertaken to examine the dependency of fish output from one district to the next. Spatial modeling is used to examine the spatial correlation of fish production data in each sub-district, making it easier to characterize observations in a sub-district and their relationships with other sub-districts. A semivariogram model was fitted using the fish production data, and it was discovered that fish production in the city of Cilegon followed the cubic model with model parameters C = 2.9891 and range a = 5.28. Furthermore, using this spatial model, assessment of fish production in a location, in this example Cilegon City, can be carried out in further research in an effort to see food security.


Keywords


spatial correlation, variogram, semivariogram

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References


Achiar, A.L.M. and Helma, H. (2019) ‘Metode Ordinary Kriging Menggunakan Semivariogram Isotropik dalam Menghitung Curah Hujan Kota Padang’, Journal of Mathematics UNP, pp. 7–12. Available at: http://ejournal.unp.ac.id/students/index.php/mat/article/view/6263%0Ahttp://ejournal.unp.ac.id/students/index.php/mat/article/viewFile/6263/3174.

Amelia, R. et al. (2020) ‘Pendekatan Semivariogram Anisotropik dalam Metode Ordinary Kriging (OK) terhadap Pola Penyebaran Mineral Ikutan Timah’, Promine, 8(1), pp. 34–39. Available at: https://doi.org/10.33019/promine.v8i1.1828.

Amstrong, M. (1998) Basic Linear Geostatistic. Berlin: Springer-Verlag Heidelberg.

Biswas, S. (2019) ‘Use of Topography, Weather Zones, and Semivariogram Parameters to Optimize Road Weather Information System Station Density across Large Spatial Scales’, SAGE journals, 2673(12). Available at: https://doi.org/https://doi.org/10.1177/0361198119846467.

BPS, C. (2021) ‘Statistik Daerah Kota Cilegon 2021’, pp. 1–12.

Chen, G. et al. (2021) ‘Spatial distribution characteristics of heavy metals in surface soil of xilinguole coal mining area based on semivariogram’, ISPRS International Journal of Geo-Information, 10(5). Available at: https://doi.org/10.3390/ijgi10050290.

Cressie, N.A.C. (1994) ‘Statistics for Spatial Data, Revised Edition.’, Biometrics, p. 319. Available at: https://doi.org/10.2307/2533238.

Isaaks, H.B. and Srivastava, R.M. (1989) An Introduction to Applied Geostαtistics.

Rozalia, G., Yasin, H. and Ispriyanti, D. (2016) ‘Penerapan Metode Ordinary Kriging Pada Pendugaan Kadar NO2 di Udara’, Jurnal Gaussian, 5(23), pp. 113–121.

Salim, S. and Mukhaiyar, U. (2019) ‘Konfigurasi Spasial Potensi Kekuatan Gempa Bumi Menggunakan Metode Kriging Semivariogram Anisotropik 3D’, Saintifik, 5(2), pp. 109–120. Available at: https://doi.org/10.31605/saintifik.v5i2.225.




DOI: https://doi.org/10.34312/jjps.v3i2.16753

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