Application of the automated teller machine (ATM) card digit validation algorithm as a credit card fraud detection system
نویسندگان
چکیده
An Automated Teller Machine (ATM) card is a type of credit that transaction tool, especially in trading. Payment activities can be done at various service providers because banks have multifunctional ATM cards. transactions through the internet today, but it cause problems crime both real world and virtual world. To solve this problem, number designed to verified first before related bank verification number. The method called check on combination numbers known as digit algorithm. This study uses Luhn Algorithm prove validity used transaction. goal find out authenticity an avoid fraud such counterfeiting card. Based tests conducted, concluded algorithm effective input data validation technique. initial users make using cards misuse by irresponsible parties. Kartu merupakan salah satu jenis kartu kredit yang menjadi alat transaksi khususnya dalam perdagangan. Aktivitas pembayaran dapat dilakukan pada berbagai penyedia jasa layanan karena telah memultifungsikan ATM. Transaksi melalui saat ini, namun menimbulkan masalah terjadinya kejahatan baik di dunia nyata maupun maya. Untuk mengatasi tersebut, nomor dirancang untuk diverifikasi terlebih dahulu sebelum verifikasi terkait. Metode disebut metode cek kombinasi angka dikenal dengan algoritma digit. Penelitian ini menggunakan Algoritma membuktikan keabsahan dipakai sebagai transaksi. Tujuannya adalah mengetahui keaslian dari sebuah dan menghindari penipuan seperti pemalsuan Berdasarkan pengujian menyimpulkan bahwa digunakan teknik validasi masukan efektif. Ini awal pengecekan pengguna melakukan penyalahgunaan oleh pihak-pihak tidak bertanggung jawab.
منابع مشابه
Data Mining Application in Credit Card Fraud Detection System
Data mining is popularly used to combat frauds because of its effectiveness. It is a well-defined procedure that takes data as input and produces models or patterns as output. Neural network, a data mining technique was used in this study. The design of the neural network (NN) architecture for the credit card detection system was based on unsupervised method, which was applied to the transactio...
متن کاملData Mining Application for Cyber Credit-Card Fraud Detection System
Since the evolution of the internet, many small and large companies have moved their businesses to the internet to provide services to customers worldwide. Cyber credit‐card fraud or no card present fraud is increasingly rampant in the recent years for the reason that the credit‐card i s majorly used to request payments by these companies on the internet. Therefore the need to ensure secured tr...
متن کاملA Novel Machine Learning Approach to Credit Card Fraud Detection
The use of credit cards is of paramount importance in improving the economic strength of any nation, however, fraudulent activities associated with it is of great concern. When fraud occurs on credit cards, the negative impact is huge as the financial loss experienced cuts across all the parties involved. This paper provides a proactive measure at detecting fraudulent activities regarding the c...
متن کاملA Novel Machine Learning Approach to Credit Card Fraud Detection
The use of credit cards is of paramount importance in improving the economic strength of any nation, however, fraudulent activities associated with it is of great concern. When fraud occurs on credit cards, the negative impact is huge as the financial loss experienced cuts across all the parties involved. This paper provides a proactive measure at detecting fraudulent activities regarding the c...
متن کاملA Novel Machine Learning Approach to Credit Card Fraud Detection
The use of credit cards is of paramount importance in improving the economic strength of any nation, however, fraudulent activities associated with it is of great concern. When fraud occurs on credit cards, the negative impact is huge as the financial loss experienced cuts across all the parties involved. This paper provides a proactive measure at detecting fraudulent activities regarding the c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Teknika
سال: 2022
ISSN: ['2337-3148', '1693-6329']
DOI: https://doi.org/10.36055/tjst.v18i1.13733