TY - GEN
T1 - Checking Wrong Decision and Wrong Pattern by Using A Graph-based Method
AU - Sungkono, Kelly Rossa
AU - Putri, Erina Oktavia
AU - Azkiyah, Habibatul
AU - Sarno, Riyanarto
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Companies in the world have been considered fraud as a crucial problem. The fraud can be caused by many things, including data manipulation and anomalies in business processes or standard operational procedures (SOP). Anomalies have several types; two of them are a wrong decision and a wrong pattern. A wrong decision, which is not in accordance with the standard list in SOP, occurs as a result of making wrong decisions. On the other hand, the wrong sequence of activities is called a wrong pattern. For detecting those two anomalies, this paper proposed a graph-based method. The graph-based method creates rules for detecting a wrong pattern by measuring the similarity between traces of SOP and the process and checks the attributes of activities to detect a wrong decision. The evaluation uses an event log of the credit application process in a bank. Based on the evaluation, the proposed graph-based method gains 100% for the accuracy value in checking wrong pattern and wrong decision.
AB - Companies in the world have been considered fraud as a crucial problem. The fraud can be caused by many things, including data manipulation and anomalies in business processes or standard operational procedures (SOP). Anomalies have several types; two of them are a wrong decision and a wrong pattern. A wrong decision, which is not in accordance with the standard list in SOP, occurs as a result of making wrong decisions. On the other hand, the wrong sequence of activities is called a wrong pattern. For detecting those two anomalies, this paper proposed a graph-based method. The graph-based method creates rules for detecting a wrong pattern by measuring the similarity between traces of SOP and the process and checks the attributes of activities to detect a wrong decision. The evaluation uses an event log of the credit application process in a bank. Based on the evaluation, the proposed graph-based method gains 100% for the accuracy value in checking wrong pattern and wrong decision.
KW - Fraud
KW - Wrong decision detection
KW - Wrong pattern detection
UR - http://www.scopus.com/inward/record.url?scp=85123320972&partnerID=8YFLogxK
U2 - 10.1109/ICTS52701.2021.9608229
DO - 10.1109/ICTS52701.2021.9608229
M3 - Conference contribution
AN - SCOPUS:85123320972
T3 - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
SP - 184
EP - 189
BT - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Information and Communication Technology and System, ICTS 2021
Y2 - 20 October 2021 through 21 October 2021
ER -