EVALUASI FAKTOR PENYEBAB HUMAN ERROR PADA PERUSAHAAN OTOMOTIF DENGAN PENDEKATAN SHERPA

Authors

  • Bergas Maydha Silabait Universitas Singaperbangsa Krawang
  • Dene Herwanto Universitas Singaperbangsa Krawang

DOI:

https://doi.org/10.33884/jrsi.v11i1.10810

Keywords:

SHERPA, Hierarchical Task Analysis, Human Error Identification.

Abstract

PT. XYZ is a company that produces automotive components, especially Bearings. One factor that
affects product quality and worker safety during the production process is human error.
Addressing this problem requires a systematic approach to identify potential errors and create a
corrective plan. The Systematic Human Error Reduction and Prediction Approach (SHERPA),
which combines Hierarchical Task Analysis (HTA) and Human Error Identification (HEI), is one
approach that can be used. The purpose of this study was to determine the types of human errors
that occur during the Bearing production process. Action errors and checking errors were
identified as the most frequent types of errors, based on observations and interviews. The analysis
resulted in an improvement plan that includes close supervision on the production line, adequate
rest periods, not rushing when operating machines, and consistently following regulations and
Standard Operating Procedures (SOP). It is hoped that the results of this study will help the
company reduce human errors and improve efficiency and safety on the production line.

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Published

2025-11-30