Proceedings of the International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020)

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Application Development for Assessing the Health Level of Village Credit Institutions Using the RGEC Method

Authors
Jeni Susanti, I Gede Made Karma, Ni Wayan Kurnia Dewi
Corresponding Author
Jeni Susanti
Available Online 26 April 2021.
DOI
10.2991/assehr.k.210424.014How to use a DOI?
Keywords
LPD, economic crisis, health level, RGEC method
Abstract

The Covid 19 pandemic turned out to have an impact on the economic downturn of the community. The Village Credit Institution (LPD), a financial institution belonging to a traditional village in Bali, is greatly affected by this situation. The management team is required to be able to maintain the health level of the LPD in the midst of the economic crisis with the risk of liquidity difficulties and bad credit at this time. This study aims to build an information system for LPD health level assessors. The system was developed with an object oriented methodology, with the LPD health assessor using the RGEC method. The method, which includes the Risk Profile (R), Good Corporate Government (G), Earnings (E) and Capital (C) factors, does consider the problem of risk. Based on financial report data and self-assessment results related to LPD management, the resulting system will determine the LPD’s health level quickly, precisely and at any time. The resulting health level is in the form of a comprehensive and partial health level according to the factors, to make it easier for the management team to determine the focus of the study and analysis if a problem occurs in the LPD health level.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
26 April 2021
ISBN
10.2991/assehr.k.210424.014
ISSN
2352-5398
DOI
10.2991/assehr.k.210424.014How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Jeni Susanti
AU  - I Gede Made Karma
AU  - Ni Wayan Kurnia Dewi
PY  - 2021
DA  - 2021/04/26
TI  - Application Development for Assessing the Health Level of Village Credit Institutions Using the RGEC Method
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020)
PB  - Atlantis Press
SP  - 66
EP  - 71
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210424.014
DO  - 10.2991/assehr.k.210424.014
ID  - Susanti2021
ER  -