Open AccessImplementation of Computer-Based Systems in Efficient Credit Acceptance Decisions Applying the Additive Ratio Assessment (ARAS) Method
Author(s) -
Supriyanto Supriyanto,
Mesran,
Diding Kusnady,
Weny,
Murtopo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1424/1/012018
Subject(s) - receipt , selection (genetic algorithm) , computer science , decision support system , process (computing) , work (physics) , management information systems , information system , risk analysis (engineering) , operations research , business , data mining , machine learning , engineering , world wide web , electrical engineering , mechanical engineering , operating system
The development of computer-based systems, increasingly helping the banking world, in doing work efficiency in a bank. Especially in selecting credit recipients at the bank. This is needed so that the resulting decision can be valued objectively and effectively for management. In processing credit receipt decisions, using an information system known as the Decision Support System (SPK). The selection of credit recipients requires alternatives and criteria so that the information retrieval process can run well. By applying the Additive Ratio Assessment (ARAS) method, decision-makers can produce better calculations. ARAS is a method for decision-based support.