Abstract

In this research, the system that detects administrative behavior, credit card and developing corruption from credit cards through LINE applications. The objective of this research 1) To develop a risk notification system or suspect to be corruption of credit cards through the connection channels of LINE application 2) to measure the accuracy of the system developed. As for the notification to prevent the risk of credit card corruption The research methods are divided into 5 steps, namely Step 1, Step System analysis. Is a study and analysis to determine the needs of steps 2 steps, system design Is the process of designing tools used in research. Step 3 System development Is the process of developing the tools used in research. Step 4, the process of testing and correcting the system. Is the process of testing the tools used in research. Step 5 Summary Discuss results and suggestions. The research results are summarized as follows The results of the measurement and completeness of the data are very good as 86.67 percent. The results of the measurement of the correct conditions are as good as 80 percent and the performance measurement of time is in The criteria is as good as 86.67 percent. In conclusion, the corruption system from credit cards through the application alert. LINE can be used appropriately.

Keywords:
Credit card Computer science Credit card fraud Completeness (order theory) Suspect Process (computing) Measure (data warehouse) Language change Computer security Risk analysis (engineering) Data mining Business Operating system Payment World Wide Web

Metrics

16
Cited By
9.90
FWCI (Field Weighted Citation Impact)
7
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Information Retrieval and Data Mining
Physical Sciences →  Computer Science →  Information Systems

Related Documents

JOURNAL ARTICLE

Real Time Credit Card Fraud Detection

Mandar Gangurde AjeenkyaAjeenkya, Nandini MahapatraAjeenkya, Preeti Chhabaria

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2023
JOURNAL ARTICLE

Real Time Credit Card Fraud Detection

Mandar Gangurde AjeenkyaNandini Mahapatra AjeenkyaPreeti Chhabaria Ajeenkya

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2023
BOOK-CHAPTER

Real-Time Credit Card Fraud Detection

Shivam GoelSeema Rani

Lecture notes in electrical engineering Year: 2025 Pages: 319-327
JOURNAL ARTICLE

Real-Time Credit Card Fraud Detection Using AdaBoost

Navya Sri NeelamRamana Reddy N

Journal:   Journals Fringe Multi-Engineering Proceedings Year: 2025 Vol: 1 (3)Pages: 66-77
© 2026 ScienceGate Book Chapters — All rights reserved.