Prediksi Kuantitas Hasil Budidaya Ikan Konsumsi Menggunakan Penerapan Metode Regresi Data
Yan Watequlis Syaifudin,
Syifa’ul Ikrom Syifa’ul Ikrom Al Masyriqi,
Pramana Yoga Saputra
et al.
Abstract:In the present era, the industrial 4.0 revolution marks technological advancements in the fisheries sector, making fish farming industries increasingly effective and efficient. Predictions related to future fish harvest production can be used as considerations in planning. This research aims to build a prediction system for fish farming harvests by comparing four regression methods: linear regression, polynomial regression, random forest regression, and support vector regression to obtain accurate predictions.… Show more
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