Workload Analysis Using the Full-Time Equivalent Method Based on the Business Process Management Approach at PT XYZ

Authors

  • Gima Yumima Alemisa Br Sinulingga Agribusiness Study Program, Faculty of Agriculture, UPN “Veteran” East Java, Indonesia
  • Satya Rizky Suhermanto Agribusiness Study Program, Faculty of Agriculture, UPN “Veteran” East Java, Indonesia
  • Annisa Rahmania Agribusiness Study Program, Faculty of Agriculture, UPN “Veteran” East Java, Indonesia
  • Sri Tjondro Winarno Agribusiness Study Program, Faculty of Agriculture, UPN “Veteran” East Java, Indonesia

DOI:

https://doi.org/10.55173/agriscience.v10i1.211

Keywords:

Workload, Full-Time Equivalent (FTE), Business Process Management (BPM), Labor Requirements.

Abstract

Effective human resource management is a key factor in ensuring the smooth operation of a company. Mismatches between the number of employees and the workload must be addressed to prevent low productivity or waste of resources. PT XYZ is a corn seed processing company. PT XYZ’s warehouse plays a crucial role in the entire process, from receiving to shipping out seed materials. This underscores the importance of measuring the workload within the warehouse. This workload measurement employs the Full-Time Equivalent (FTE) method through a Business Process Management (BPM) approach. Data was collected primarily through interviews, observations, and time measurements using a stopwatch, supplemented by secondary data in the form of warehouse Standard Operating Procedures (SOPs). Based on the analysis, the warehouse workflow at PT XYZ is divided into three categories: Work in Process (WIP), Production Material Chemical Material (PMCM), and finished goods. The calculated workload per employee in the warehouse is 1.034. This indicates that the workload level in the warehouse is considered normal.

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Published

2026-07-28

How to Cite

Workload Analysis Using the Full-Time Equivalent Method Based on the Business Process Management Approach at PT XYZ. (2026). Agricultural Science, 10(1), 92-108. https://doi.org/10.55173/agriscience.v10i1.211