Agroindustrial Journal
Vol 13, No 1 (2026)

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

Danang Kumara Hadi (Department of Agroindustrial Technology, Faculty of Agriculture Universitas Muhammadiyah Jember, Jl. Karimata No. 49, Jember 68124, Indonesia)
Yuta Sato (Graduate School of Engineering, Ibaraki University, Japan)

Article Info

Publish Date
29 Jun 2026

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.v12i1.106018The 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.

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Journal Info
Agroindustrial Journal
Website

Abbrev

agroindustrial

Publisher

Universitas Gadjah Mada

Subject

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences

Description

The journal publishes original research paper and review paper based on topics coverage but not limited to: 1. Industrial systems and management 2. Bio-industry 3. Production systems 4. Quality analysis and standardization 5. Systems analysis and industrial simulation 6. Product engineering and ...