Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia

Research Article

Estimation of Profitability of a Company in PT. ABC Using Kalman Filter

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  • @INPROCEEDINGS{10.4108/eai.13-2-2019.2286497,
        author={Mohammad Yusak Anshori and Teguh  Herlambang and Denis Fidita Karya and Dinita  Rahmalia},
        title={Estimation of Profitability of a Company in PT. ABC Using Kalman Filter},
        proceedings={Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia},
        publisher={EAI},
        proceedings_a={ICBLP},
        year={2019},
        month={10},
        keywords={profitability profit estimation kalman filter},
        doi={10.4108/eai.13-2-2019.2286497}
    }
    
  • Mohammad Yusak Anshori
    Teguh Herlambang
    Denis Fidita Karya
    Dinita Rahmalia
    Year: 2019
    Estimation of Profitability of a Company in PT. ABC Using Kalman Filter
    ICBLP
    EAI
    DOI: 10.4108/eai.13-2-2019.2286497
Mohammad Yusak Anshori1,*, Teguh Herlambang2, Denis Fidita Karya1, Dinita Rahmalia3
  • 1: Management Department, University of Nahdlatul Ulama Surabaya
  • 2: Information System Department, University of Nahdlatul Ulama Surabaya
  • 3: Mathematics Department, University of Islam Darul Ulum Lamongan
*Contact email: yusak.anshori@unusa.ac.id

Abstract

Profitability is a company’s ability to earn profits.The higher the profitability is, the more profits the company makes. Profit ratio is the ability or outcome performed or achieved by the company in the sale of goods or services produced or performed in a certain period. Considering that profitability is an important factor in the company, this study focused on the company profitability estimation to determine the increases in profit and loss of a company. The estimation in this study used the Kalman Filter method with the application of the principle of continual prediction and correction. The results of the simulation analysis proved that with 200, 300 and 400 iterations, it had an errror of less than 3%, and with 400 iterations it had higher accuracy than those with 200 and 300 iterations.