Erratum: Analysis of MSMEs' Cassava Production Efficiency Using a Comparison of Machine Learning Models in Jember Regency

https://doi.org/10.22146/aij.v13i1.121212

Danang Kumara Hadi(1*), Yuta Sato(2)

(1) Department of Agroindustrial Technology, Faculty of Agriculture Universitas Muhammadiyah Jember, Jl. Karimata No. 49, Jember 68124, Indonesia
(2) Graduate School of Engineering, Ibaraki University, Japan
(*) Corresponding Author

Abstract


This Erratum relates to the following article:

Hadi, D.K., Sato, Y., 2025. Analysis of MSMEs' Cassava Production Efficiency Using a Comparison of Machine Learning Models in Jember Regency. Agroindustrial Journal 12(1), 16–26. https://doi.org/10.22146/aij.v12i1.106018

The publisher regrets that, due to a production error, the publication metadata on page 1 of the published PDF version of the article (DOI: 10.22146/aij.v12i1.106018) contained incorrect dates. The incorrect information appeared as: “Received: May-23-2025; Accepted: June-25-2025; Published: June-30-2025”. The correct dates are: “Received: April 15, 2025; Accepted: June 25, 2025; Published: June 30, 2025”.

The editorial office regrets the error.


Keywords


cassava; efficiency analysis; machine learning algorithm; prediction model

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DOI: https://doi.org/10.22146/aij.v13i1.121212

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