Susanti, Jeni and Karma, I Gede Made and Dewi, Ni Wayan Kurnia (2021) Application Development for Assessing the Health Level of Village Credit Institutions Using the RGEC Method. In: International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020), 24-25 October 2020, Padang - Indonesia.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Ilmu Teknik > Teknik Elektro Dan Informatika > Sistem Informasi Ilmu Ekonomi > Ilmu Ekonomi > Akuntansi Ilmu Ekonomi > Ilmu Manajemen > Administrasi Keuangan (Perkantoran, Pajak, Hotel, Logistik, Dll) Ilmu Ekonomi > Ilmu Manajemen > Manajemen Informatika |
| Divisions: | Jurusan Akuntansi > Prodi D3 Akuntansi > Publikasi Jurusan Akuntansi > Prodi D4 Akuntansi Manajerial > Publikasi |
| Depositing User: | I Gede Made Karma |
| Date Deposited: | 31 Aug 2022 06:04 |
| Last Modified: | 31 Aug 2022 06:04 |
| URI: | http://repository.pnb.ac.id/id/eprint/111 |
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