Designing Application for Determining the Health Level of Village Credit Institutions with the CAMEL Method
- DOI
- 10.2991/icastss-19.2019.4How to use a DOI?
- Keywords
- LPD, traditional village, supervisory board, health level, CAMEL
- Abstract
This study aims to design and build an information system that is able to determine the health level of the Village Credit Institution (LPD) which has an important role in supporting the economy of a village community. As a financial institution owned by a traditional village in Bali, LPD management is regulated based on Bali's Level I Regional Regulations. The main activity of the LPD is to collect funds from the community in the form of savings or deposits, and redistribute it to the community in the form of credit. A portion of the profits obtained will be handed over to the traditional village to finance village development. In the midst of intense competition between existing financial institutions and news of several LPD cases that have problems, monitoring the LPD's health level becomes something important and mandatory. The resulting information system is expected to assist and facilitate the Supervisory Agency in conducting an assessment of the health level of LPDs. The method used to assess the health level of LPD in this system is the CAMEL method which has 5 (five) aspects, namely capital, assets, management, earnings, and liquidity.
- Copyright
- © 2019, 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
TY - CONF AU - I Gede Made Karma AU - Ni Ketut Sukasih PY - 2019/10 DA - 2019/10 TI - Designing Application for Determining the Health Level of Village Credit Institutions with the CAMEL Method BT - Proceedings of the International Conference On Applied Science and Technology 2019 - Social Sciences Track (iCASTSS 2019) PB - Atlantis Press SP - 386 EP - 390 SN - 2352-5398 UR - https://doi.org/10.2991/icastss-19.2019.4 DO - 10.2991/icastss-19.2019.4 ID - Karma2019/10 ER -