TY - GEN
T1 - Impact of Antifraud Tracking System Implementation in Multifinance Company
T2 - 6th International Conference on Informatics and Computational Sciences, ICICoS 2022
AU - Pyriana, Dewi Rokhmah
AU - Budiawan, Abhirama
AU - Aguinta, Dhanika Jeihan
AU - Firdaus, M. Zukhruf Mifta A.
AU - Putra, Panca Hadi
AU - Gunawan, Fandi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The rapid development of the e-commerce industry in Indonesia has impacted the number of frauds that is increasing significantly. To support the monitoring activity of the fraud activities, Home Credit Indonesia has built an integrated system, called Antifraud Tracking System (ATS Web) which processes data from various sources and sends data to other systems. This study aims to assess how the impact of ATS Web implementation towards the individual, workgroup, and organization. This study analyzed measurement indicators that contain system quality, information quality, service quality, individual impact, workgroups impact, and organizational impact. The analysis used a mixed-method that combined quantitative and qualitative data. Quantitative data were obtained from the results of questionnaires that were distributed to 19 members of the Antifraud investigation team and were analyzed using descriptive analysis. Qualitative data was obtained from an interview with Antifraud Investigation Manager. According to the result analysis, implementation of Antifraud Tracking System (ATS Web) had a positive relationship between system quality, information quality, and service quality with individual impact. It proved as ATS Web was easy to use, integrated with other system, and delivered proper business solution. Meanwhile, individual impact had a positive relationship with workgroup impact but both were not supported a positive impact to the organizational, as ATS Web was not contributed for decision-making purposes and organizational cost reduction.
AB - The rapid development of the e-commerce industry in Indonesia has impacted the number of frauds that is increasing significantly. To support the monitoring activity of the fraud activities, Home Credit Indonesia has built an integrated system, called Antifraud Tracking System (ATS Web) which processes data from various sources and sends data to other systems. This study aims to assess how the impact of ATS Web implementation towards the individual, workgroup, and organization. This study analyzed measurement indicators that contain system quality, information quality, service quality, individual impact, workgroups impact, and organizational impact. The analysis used a mixed-method that combined quantitative and qualitative data. Quantitative data were obtained from the results of questionnaires that were distributed to 19 members of the Antifraud investigation team and were analyzed using descriptive analysis. Qualitative data was obtained from an interview with Antifraud Investigation Manager. According to the result analysis, implementation of Antifraud Tracking System (ATS Web) had a positive relationship between system quality, information quality, and service quality with individual impact. It proved as ATS Web was easy to use, integrated with other system, and delivered proper business solution. Meanwhile, individual impact had a positive relationship with workgroup impact but both were not supported a positive impact to the organizational, as ATS Web was not contributed for decision-making purposes and organizational cost reduction.
KW - Antifraud Tracking System
KW - impact of antifraud system
KW - individual impact
KW - information quality
KW - organizational impact
KW - service quality
KW - system quality
KW - workgroup impact
UR - http://www.scopus.com/inward/record.url?scp=85146197886&partnerID=8YFLogxK
U2 - 10.1109/ICICoS56336.2022.9930569
DO - 10.1109/ICICoS56336.2022.9930569
M3 - Conference contribution
AN - SCOPUS:85146197886
T3 - Proceedings - International Conference on Informatics and Computational Sciences
SP - 89
EP - 94
BT - 2022 6th International Conference on Informatics and Computational Sciences, ICICoS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 September 2022 through 29 September 2022
ER -