Jurnal Rekayasa Sistem Industri
Vol 5, No 2 (2016): Jurnal Rekayasa Sistem Industri

Pengukuran Beban Kerja Pada Managerial Level Dan Supervisory Level Dengan Menggunakan Metode Defence Research Agency Workload Scale (DRAWS) (Studi Kasus Di Departemen UHT PT. Ultrajaya Milk Industry & Trading Co, TBk )

Syafei, M. Yani (Unknown)
Primanintyo, Burhan (Unknown)
Syaefuddin, Syaefuddin (Unknown)



Article Info

Publish Date
30 Nov 2016

Abstract

Measurement of workload is a technique to get information about the efficiency and effectiveness of an organizational unit, or office holders through a process of research and assessment. It is conducted by using job analysis, workload analysis or other management techniques. PT. Ultrajaya Milk Industry & Trading Co., Tbk is manufacturer of the food and beverage. The company is always trying to meet the needs of consumers by creating products with high quality and competitive price. The high stress level perceived by Managerial Level and Supervisory Level become an important reason for the Department of Ultra High Temperature (UHT) to conduct workload analysis. By measuring the employees workload, it will be known whether  the workload of an employee is optimal load or overload. This situation will affect the human-performance (employee). Based on calculations by the DRAWS method is yielded the average workload score for Managerial Level of 67.37% (in the overload category), while the dominant workload variable in Central Demand (CD) is 41.60%,  the distribution of the mental workload is 72.60% and physical workload is 27.40%. While for Supervisory Level  is yielded the average workload score of 64.59% (in the overload category) ), where the dominant workload variable in Central Demand (CD) is 33.63%, the distribution of the mental workload is 55.10% and physical workload is 44.90%. Therefore the perceived mental workload of Supervisory Level is still relatively comparable compared to physical workload, and in contrast to the  perceived Managerial Level which is dominated by mental workload.

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Journal Info

Abbrev

jrsi

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and ...