Mathematical Model of Drying Edamame (Glycine max (L.) Merill) Using Food Dehydrator Technology Based on Multiple Linear Regression (MLR) and Artificial Neural Network (ANN)

Mathematical Model of Drying Edamame (Glycine max (L.) Merill) Using Food Dehydrator Technology Based on Multiple Linear Regression (MLR) and Artificial Neural Network (ANN)

Edamame is included in perishable products or products that have a fairly short shelf life if post-harvest processing is not carried out. One of the post-harvest processing methods commonly used by the community is drying. The purpose of this study was to analyze the drying process of edamame relate...

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Bibliographic Details
Main Authors: Rizza Wijaya, Silvia Oktavianur Yudiastuti, Anna Mardhiana Handayani, Elok Kurnia Novita Sari, Tri Wahyu Saputra, Febryan Kusuma Wisnu, Aulia Brilliantina
Format: Article
Language:Indonesian
Published: Jurusan Teknik Pertanian Universitas Lampung 2022-12-01
Series:Jurnal Teknik Pertanian Lampung
Subjects:
ann
drying
edamame
food dehydrator
Online Access:https://jurnal.fp.unila.ac.id/index.php/JTP/article/view/6122

Internet

https://jurnal.fp.unila.ac.id/index.php/JTP/article/view/6122

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