Indonesian Journal of Industrial Engineering & Management
Vol 6, No 3: October 2025

Analysis of MSME Actors' Perception in West Java Toward the Use of Artificial Intelligence (AI) as an Effort to Improve Operational Efficiency

Rahma, Rana Ardila (Unknown)
Fasa, Nadia (Unknown)
Gultom, Louisa Paulina Febriana (Unknown)
Azhar, Haniyyah (Unknown)
Putri, Melodi Laora (Unknown)



Article Info

Publish Date
27 Jan 2026

Abstract

This study aims to analyze the perceptions of Micro, Small and Medium Enterprises (MSMEs) in West Java regarding the use of Artificial Intelligence (AI) as an effort to increase operational efficiency. The method used is quantitative research with a survey via questionnaire distributed to 100 MSME players. Data analysis includes descriptive statistics to identify the level of understanding, benefits, barriers, and expectations regarding AI adoption. The research results show that 32% of respondents have used AI, with the majority using it for sales data analysis. As many as 75% of AI users find it easy to operate the technology, and 84% state that the cost of use is relatively affordable. The main obstacle is a lack of understanding of the technology, which has led to low widespread adoption of AI. As many as 52% of respondents expressed interest in taking AI training. This research concludes that although AI provides significant benefits in increasing efficiency, technological literacy and more affordable access are needed to accelerate digital transformation in the MSME sector. Recommendations include developing AI-based training and providing technology solutions that are easier to implement. 

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Journal Info

Abbrev

ijiem

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise ...