Proceedings of the 4th International Conference on Applied Economics and Social Science, ICAESS 2022, 5 October 2022, Batam, Riau Islands, Indonesia

Research Article

Workload Analysis on Seeu.co Photo Studio In Batam City

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  • @INPROCEEDINGS{10.4108/eai.5-10-2022.2325896,
        author={Annisa Aqidatul Izzah and Hajan  Hidayat},
        title={Workload Analysis  on Seeu.co Photo Studio In Batam City},
        proceedings={Proceedings of the 4th International Conference on Applied Economics and Social Science, ICAESS 2022, 5 October 2022, Batam, Riau Islands, Indonesia},
        publisher={EAI},
        proceedings_a={ICAESS},
        year={2023},
        month={1},
        keywords={workload labor working time work sampling},
        doi={10.4108/eai.5-10-2022.2325896}
    }
    
  • Annisa Aqidatul Izzah
    Hajan Hidayat
    Year: 2023
    Workload Analysis on Seeu.co Photo Studio In Batam City
    ICAESS
    EAI
    DOI: 10.4108/eai.5-10-2022.2325896
Annisa Aqidatul Izzah1,*, Hajan Hidayat1
  • 1: Politeknik Negeri Batam
*Contact email: aqizzah195@gmail.com

Abstract

The purpose of this study is to analyze the work of photographers, videographers, and editors, to find out the amount of working time required by the workforce at the Seeu.co photo studio in Batam City and to determine the optimal amount of manpower requirements in accordance with needs on photo studio Seeu.co. This study uses a descriptive type of research. The workload analysis technique used is work sampling. Work sampling determines the number of observations of work activities in the form of machines, processes, and workers. With this method, researchers measure work using a stop-watch tool as a direct measurement of work. The results of this study based on observations that have been made, it is known that the workload of the workers at the Seeu.co photo studio in Batam City exceeds the normal workload, which is 409%. By knowing the workload that exceeds the normal limit, it takes 5 workers so that the work can be carried out optimally and minimize the perceived workload so that it is not too excessive so that it exceeds the normal limit.