Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia

Research Article

Language Register Around Debt Collectors at Ilegal Fintech Lending Companies (Online Loans) Against Defaulting Debtors That Impact Legal Products Forensic Lingustic Review

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  • @INPROCEEDINGS{10.4108/eai.2-12-2021.2320339,
        author={Asep Jejen Jaelani and Gilang Kripsiyadi Praramdana and Tifani  Kautsar},
        title={Language Register Around Debt Collectors at Ilegal Fintech Lending Companies (Online Loans) Against Defaulting Debtors That Impact Legal Products Forensic Lingustic Review},
        proceedings={Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia},
        publisher={EAI},
        proceedings_a={UNISET},
        year={2022},
        month={8},
        keywords={debt collector register; forensic linguistics; legal product},
        doi={10.4108/eai.2-12-2021.2320339}
    }
    
  • Asep Jejen Jaelani
    Gilang Kripsiyadi Praramdana
    Tifani Kautsar
    Year: 2022
    Language Register Around Debt Collectors at Ilegal Fintech Lending Companies (Online Loans) Against Defaulting Debtors That Impact Legal Products Forensic Lingustic Review
    UNISET
    EAI
    DOI: 10.4108/eai.2-12-2021.2320339
Asep Jejen Jaelani1,*, Gilang Kripsiyadi Praramdana1, Tifani Kautsar1
  • 1: Universitas Kuningan, Kuningan, Indonesia
*Contact email: asep.jejen.jaelani@uniku.ac.id

Abstract

This study aims to describe legal products in the form of (hate speech) related to the potential of the Undang-Undang ITE from the debt collector register at Illegal Fintech Landing companies (online loans) in their communication to defaulted customers. This study uses a qualitative descriptive research method with a review of forensic linguistics. The techniques used are listen, take notes, and screenshots. Based on the results of data analysis that has been carried out, it is found that data in the form and function of the debt collector register have an impact on potential legal products (hate speech). The forms of registers found are classified into two parts, namely lingual and open. Furthermore, the register functions found are classified into two parts, namely instrumental functions and problem solving functions. Then the context of the speech of legal products found in the form of threats to customers who fail to pay. From this research, it is hoped that there will be no misunderstanding in understanding and using the register language later