Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia

Research Article

The Valuation of Non-Performing Loans

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  • @INPROCEEDINGS{10.4108/eai.18-7-2019.2288580,
        author={Muslih  Muslih and Hazmanan  Khair and Januri  Januri and Ade  Gunawan and M. Firza Alpi},
        title={The Valuation of Non-Performing Loans},
        proceedings={Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh,  Indonesia},
        publisher={EAI},
        proceedings_a={ICASI},
        year={2019},
        month={11},
        keywords={net income nonperforming loans},
        doi={10.4108/eai.18-7-2019.2288580}
    }
    
  • Muslih Muslih
    Hazmanan Khair
    Januri Januri
    Ade Gunawan
    M. Firza Alpi
    Year: 2019
    The Valuation of Non-Performing Loans
    ICASI
    EAI
    DOI: 10.4108/eai.18-7-2019.2288580
Muslih Muslih1,*, Hazmanan Khair1, Januri Januri1, Ade Gunawan1, M. Firza Alpi1
  • 1: University of Muhammadiyah Sumatera Utara, Jalan Kapten Mukhtar Basri No. 3 Medan, Indonesia
*Contact email: muslihekonomi@gmail.com

Abstract

This study aims to determine and evaluate the NPLs supervision made by the bank so that the net profit. The study was conducted at Head Office PT. Bank Sumut, Medan, North Sumatra, Indonesia. The type of data used in this research report in the form of financial statements of financial position and statement of income for the year 2011 to 2015. The data analysis method used is the method of analysis of NPLs by calculating and then analyze the results of the NPLs and the results showed that credit monitoring conducted by Head Office PT. Bank Sumut, yet provide maximum results with a proven increase in the number of NPLs in the last 5 years are classified in the category of unhealthy which results in decreased levels of net profit generated in the Central Office PT. Bank of Sumut, Medan, so the Bank must improve oversight of NPLs so that maximum profit can be generated.