Design of Risk Rating Applications for Village Credit Institutions
- https://doi.org/10.2991/assehr.k.220301.104How to use a DOI?
- LPD; economic crisis; risk factor; risk rating; system design
The Covid-19 pandemic has had a profound impact on the economic capacity and purchasing power of the general public. This condition automatically affects the ability of the people to fulfill their obligations, especially paying off the credit they have already taken. Credit has the potential to become bad credit. On the other hand, some people have started withdrawing their savings and deposits. This situation is certainly very worrying for financial institutions, especially the Village Credit Institution (LPD), which is the backbone of the economy of traditional village communities in Bali. LPDs must be managed with care. In this prudence, the manager in addition to maintaining the level of health, is also required to monitor the level of risk of his LPD. This risk rating becomes important in conducting supervision, prudence and anticipation in the operational management of the LPD. This research was conducted in an effort to help LPD prepare an information system for assessing the level of risk for its institution. The research was conducted using the Waterfall system development stages, with an object-oriented approach. At the initial stage, this research focused on designing the required information system, through the stages of object-oriented analysis and design (OOA and OOD). The resulting design is a component of the system, which can later be used as a reference in the final stages of system development, namely the object-oriented programming (OOP) stage.
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Jeni Susanti AU - I Gede Made Karma AU - Ni Wayan Kurnia Dewi PY - 2022 DA - 2022/03/04 TI - Design of Risk Rating Applications for Village Credit Institutions BT - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021) PB - Atlantis Press SP - 633 EP - 639 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220301.104 DO - https://doi.org/10.2991/assehr.k.220301.104 ID - Susanti2022 ER -