Information system for depicting relations between banking customer with risk: Study case in Indonesia

Abstract

Suspicious financial transactions that lead to money laundering in Indonesia is increasing every year. One of the causes money laundering in Indonesia is because the lack of information that bank use to know their customers (Know Your Customer) that doing unusual transaction. To decide when the unusual transaction become suspicious financial transaction bank need a data which is complete, accurate, fast to access and have some depiction of relationship between high-risk customers in graph. To produce trusting information, a country needs an integrated data that has strong security management to protect the data. HTML5, JavaScript Library, Graph Database and AJAX is use to make system work faster and show data in graph so the data will be easier to access. The results of this study is to produce an application to provide a complete data that created specifically for conditions in Indonesia in order to facilitate the analysis of suspicious financial transactions of banks so the suspicious transactions that are reported will became more valid.