Evaluation of Automated Reconciliation Application at Bank XYZ Using Hot Fit Model

Abstract

The purpose of this study is to find out how far the net benefit from the automated reconciliation application is so that it can make adjustments / fix existing problems related to human, organization, and technology. The HOT-Fit Model was chosen because the main factor for measuring the success of an information system after implementation includes the human factor as a user, where humans can make an assessment of the use of information systems and user satisfaction. Organizational factors, where these factors are used to provide an assessment of the organizational structure and organizational environment which are closely related to planning, management support, system control to project financing to develop information systems for organizational needs. The last factor is technology, where this factor is used to assess information systems in terms of system quality, information quality to service quality which has a close relationship with clarity, accuracy and ease of information systems so that they can be used properly and optimally. There are several rejected hypotheses, one of which is System quality on user satisfaction with the smallest T-statistic value on the path coefficient test. Indicates that improvements are needed in automated reconciliation, both in terms of availability, user-friendly display, and reliability in processing transaction data. So that it can increase user satisfaction. This study provides benefits for science in the form of applying a hot fit model on banking research object.