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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) International Conference on Engineering and Technology Development (ICETD) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal ULTIMATICS METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Pengabdian Pada Masyarakat METHABDI
Sri Agustina Rumapea
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health

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PENRAPAN FUZZY TIME SERIES UNTUK PREDIKSI PRODUKSI IKAN TAMBAK DI SUMATERA UTARA Samuel Bakkara; Sri Agustina Rumapea; Edward Rajagukguk
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 1 (2025): Volume 11 Nomor 1 Tahun 2025
Publisher : Universitas Methodist Indonesia

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Abstract

Fish is one of the most potential animal food products in Indonesia. Over the years, the majority of animal food consumption in Indonesia has been contributed by fish products. The increasing growth rate in North Sumatra is balanced by the food potential that can support the region's food security. Based on data from the fisheries sector potential in North Sumatra, pond fish farming in the province of North Sumatra covers an area of 20,000 hectares, spread across various districts/cities. The pond fish cultivated include catfish, catfish, tilapia, carp, snapper, milkfish, grouper. Given the potential of the pond aquaculture sector and the increasing awareness of the population in North Sumatra to consume fish as a source of nutrition, this research aims to predict pond fish production in North Sumatra. The prediction of pond fish production in North Sumatra is conducted to address the challenges of fluctuating pond fish production, uncertainty in supply and demand using the fuzzy time series method. The results of the study using the Fuzzy Time Series method in forecasting pond fish production in North Sumatra obtained forecast accuracy for catfish of 11.702%, for catfish of 10.359%, for tilapia of 21.636%, for carp of 15.788%, for snapper of 11.487%, for milkfish of 12.87%, for grouper of 12.263%, and for shrimp of 14.814%.).
Co-Authors Aritonang, Mendarissan Darwis Robinson Manalu Edward Rajagukguk Edward Rajagukguk Fati Gratianus Nafiri Larosa Fawwaz, Muhamad Faishal Gea, Asaziduhu Hasibuan, Doli Humuntal Rumapea Jhoni Maslan, Jhoni Kridanto Surendro Lumbanraja, Posma Mufria J. Purba Nettina Samosir Pratama, Abdul Hanif Prihandoko Prihandoko Purba, Nova Ferawati Rajagukguk, Edward Rumapea, Yolanda Y. P. Samosir, Nettina Samuel Bakkara Sarkis, Indra M. Silalahi, Arina Prima