Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Economic Matters, ICOSTELM 2022, 4-5 November 2022, Bandar Lampung, Indonesia

Research Article

Effect of Raw Material Inventory, Workers Quantity, and The Capacity of Machine on The Volume of The Production (Case on Nickel Pig Iron PT. Cahaya Modern Metal Industry)

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  • @INPROCEEDINGS{10.4108/eai.4-11-2022.2328389,
        author={Jupril  Hijriah and Moh.  Mukhsin and Diqbal  Satyanegara},
        title={Effect of Raw Material Inventory, Workers Quantity, and The Capacity of Machine on The Volume of  The Production (Case on Nickel Pig Iron PT. Cahaya Modern Metal Industry)},
        proceedings={Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Economic Matters, ICOSTELM 2022, 4-5 November 2022, Bandar Lampung, Indonesia},
        publisher={EAI},
        proceedings_a={ICOSTELM},
        year={2023},
        month={9},
        keywords={raw material inventory labor machine capacity production volume},
        doi={10.4108/eai.4-11-2022.2328389}
    }
    
  • Jupril Hijriah
    Moh. Mukhsin
    Diqbal Satyanegara
    Year: 2023
    Effect of Raw Material Inventory, Workers Quantity, and The Capacity of Machine on The Volume of The Production (Case on Nickel Pig Iron PT. Cahaya Modern Metal Industry)
    ICOSTELM
    EAI
    DOI: 10.4108/eai.4-11-2022.2328389
Jupril Hijriah1,*, Moh. Mukhsin1, Diqbal Satyanegara1
  • 1: Department of Management, Faculty of Economy and Business, Sultan Ageng Tirtayasa University
*Contact email: 5551180084@untirta.ac.id

Abstract

The objective of this study is to investigate the effect of raw material inventory, labor amount, and machine capacity on production volume. Quantitative method and causal associative approach are employed. The population consists of the quantity of raw materials, the number of workers, the machine's capability, and production volume in year 2021, whereas samples are determined with purposive sampling. Using SPSS 25 for Windows, multiple regression analysis was performed on the data. (1) The amount of raw material inventory has a positive and significant effect on production volume, according to the findings of this study. (2) The number of workers has a favorable and considerable influence on output volume. (3) The machine's capacity has a positive and considerable effect on the volume of output. (4) The inventory of raw materials, the number of workers, and the machine's capability have a favorable and considerable effect on the output volume.