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Abstract
Fisheries is one of the sources of food security in Indonesia which plays an important role in the rich biodiversity of Indonesian coastal waters. This research uses the Chen Fuzzy Time Series Model forecasting method. The samples used in this study are data on the number of fishery commodity products with specific Tilapia and Catfish monthly Aceh Province as much as 24 data, starting from January 2021 to December 2022. The results of forecasting the number of tilapia in January 2023 were 1,320,815, with a MAPE (Mean Absolute Percentage Error) value of 12.93%. And the result of forecasting the number of catfish in January 2023 was 2,339,568, with a MAPE (Mean Absolute Percentage Error) value of 22.9%. This shows that forecasting using the Chen model Fuzzy Time Series method is good enough to forecast the number of tilapia and catfish in Aceh Province.
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Copyright (c) 2023 Mutammimul Ula, Reyhan Achmad Rizal Reyhan, Siti Atikah Nabila

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F. M. Ayu Suciani, “Analisis Hasil Tangkapan Ikan Laut di Pelabuhan Perikanan Kuala Idi Kabupaten Aceh Timur,” Samudra Geogr., vol. 1, no. 2, pp. 1–5, 2018, [Online]. Available: https://ejurnalunsam.id/index.php/jsg/article/view/983
Cut Putri Mellita Sari and Nurainun, “Analisis Bioekonomi Dan Potensi Lestari Ikan Cakalang Di Provinsi Aceh,” J. Ekon. Pertan. Unimal, vol. 5, no. 1, pp. 22–27, 2022, doi: 10.29103/jepu.v5i1.8166.
N. N. D. Kurniawati Safitri, Dadan Kusnandar, “Peramalan Curah Hujan Dengan Metode Fuzzy Time Series Markov Chain,” Bul. Ilm. Math, Stat, dan Ter., vol. 12, no. 1, pp. 35–42, 2023.
D. L. Rasna, Wayan Sudarsana, “Forecasting Of Crude Palm Oil By Using Fuzzy Time Series Method (Study Case : PT. Buana Mudantara Plantation),” J. Stat., vol. 1, no. 1, pp. 31–40, 2021, doi: 10.22487/27765660.2021.v1.i1.15442.
E. I. Tiwi Nurjannati Utami, Komoditas Perikanan, 1st ed. Malang: UB Press, 2018. [Online]. Available: https://books.google.co.id/books?id=npSEDwAAQBAJ&printsec=frontcover&hl=id&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
A. Halim et al., “Konsep Hak Pengelolaan Perikanan Sebagai Alat Pengelolaan Perikanan Berkelanjutan Di Indonesia,” J. Kebijak. Perikan. Indones., vol. 9, no. 1, p. 11, 2017, doi: 10.15578/jkpi.9.1.2017.11-20.
S. W. M. Yoka Fathoni, “Forecasting Penjualan Gas LPG di Toko Sembako Menggunakan Metode Fuzzy Time Series,” JUPITER (Jurnal Penelit. Ilmu dan Teknol. Komputer), vol. 13, no. 2, pp. 87–96, 2021, [Online]. Available: https://jurnal.polsri.ac.id/index.php/jupiter/article/view/3541
I. S. Synthia Catur Wahyuni, Deni Arifianto, “Peramalan Jumlah Penduduk Miskin Di Pulau Jawa Menggunakan Metode Fuzzy Time Series Chen,” Smart Teknol., vol. 3, no. 5, pp. 133–139, 2022.
H. N. Sofhya, “Peramalan Jumlah Unit Industri Di Jawa Barat Menggunakan Fuzzy Time Series,” J. Ilm. Mat., vol. 11, no. 01, pp. 17–24, 2023.
Suryani Dhebys, Yunianto Dika Rizky, and P Ade Desvin Renata Paksi, “Sistem Peramalan Hasil Panen Dan Permintaan Pasar Buah Apel Menggunakan Metode Fuzzy Time Series (Studi Kasus Dinas Pertanian Kota Batu),” Semin. Inform. Apl. Polinema, pp. 458–462, 2020.
E. Habinuddin, “Penerapan Fuzzy Time Series Untuk Memprediksi Curah Hujan Kota Bandung,” J. Digit, vol. 12, no. 2, pp. 115–122, 2022, doi: 10.51920/jd.v12i2.288.
R. G. Yenni Safitri, Sri Wahyuningsih, “Peramalan dengan Metode Fuzzy Time Series Markov Chain (Studi Kasus : Harga Penutupan Saham PT . Radiant Utama Interinsco Tbk Periode Januari 2011 – Maret 2017),” J. Eksponensial, vol. 9, no. 1, pp. 51–58, 2018, [Online]. Available: http://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/275/127
E. T. Febriana, “Fuzzy Time Series Chen Orde Tinggi Untuk Meramalkan Jumlah Penumpang Dan Kendaraan Kapal,” Universitas Islam Indonesia, 2018.