Decision Tree and Fuzzy Logic in The Audit of Information System for Tax Letter Issuance

An information system audit is a way that can be taken to ensure the quality of information systems in an organization. One of the problems faced is objectivity in assessing quality which can be overcome by mining the processes, where the audit process utilizes event logs from the audited information system. In the domain of government in Indonesia, information system audit has not been widely conducted, as has never been done in the information system for tax letters issuance at the Regional Revenue Agency of East Java Province. An audit is conducted to determine whether the information system has been running in accordance with the needs of the organization. This study implements part of the process mining: the system conformance assessment using Fuzzy. The dataset used as input comes from the event log classification process using the Decision Tree classifier. The study results indicate that the system alignment score is 2.754031 or medium predicate.