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Workload Analysis for Workforce Requirement Planning in Opak Cracker Production at Zikri Opak MSME Tamara Tamara; Cut Ita Erliana; Fatimah Fatimah
Journal of Industrial Engineering and Management Vol 4, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v4i1.31

Abstract

Zikri Opak MSME produces cassava-based opak crackers through a production process that remains largely dependent on manual activities, resulting in unequal workloads among workers. This study aims to analyze workers’ workloads, determine workforce requirements using the Workload Analysis (WLA) method, and propose job redistribution to achieve a more balanced workload without increasing the number of employees. Data was collected through direct observation, interviews, documentation, and work-time measurements using a stopwatch. The analysis involved calculating cycle time, normal time, standard time, performance ratings, allowances, and workload. The results showed that most workstations had workloads within the normal range, indicating that the existing workforce was adequate for production. However, Workstation 4 experienced an overload condition, with a workload level of 111.66%. This finding indicates that the primary cause of workload imbalance is not an insufficient number of workers but an unequal distribution of tasks among workstations. Therefore, job redistribution is recommended to transfer activities from the overloaded workstation to workstations with available capacity. This approach is expected to create a more balanced workload distribution, improve production efficiency, and reduce excessive demands on workers. The study demonstrates that the WLA method can provide a practical basis for evaluating workforce utilization and supporting task-allocation decisions in food-processing MSMEs. Implementing workload balancing without recruiting additional employees can also help the enterprise control labor costs while maintaining productivity and improving worker well-being. These findings provide a useful reference for similar MSMEs seeking to optimize workforce utilization and production performance and overall production process effectiveness