Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil

Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil

Shrimp cultivation is strongly influenced by pond water quality conditions. Farmers must know the appropriate action in regulating water quality that is suitable for shrimp survival. The state of water quality can be understood by measuring pond parameters using various sensors. Installing sensors e...

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Bibliographic Details
Main Authors: Ricky Afiful Maula, Agus Indra Gunawan, Bima Sena Bayu Dewantara, M. Udin Harun Al Rasyid, Setiawardhana Setiawardhana, Ferry Astika Saputra, Junaedi Ispianto
Format: Article
Language:English
Published: Universitas Syiah Kuala 2022-09-01
Series:Jurnal Rekayasa Elektrika
Subjects:
handling missing value
iterative imputation
algoritma regresi
akuakultur
Online Access:https://jurnal.unsyiah.ac.id/JRE/article/view/25903
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