Tracking online fraud using regular expression

Abstract

The online fraud mode is still rife, either through Short Message Service (SMS) or website. The problems that exist are: many people cannot distinguish fraudulent and official websites, tracking sites by the police is less effective because it is only done one by one based on reported websites, whereas one fraud perpetrator can have multiple websites. Search websites on search engines require enormous effort, as not all of those websites are related to the fraud being tracked, shown on the first page. This research employs the Google Site Search Scrapping data in the form of Application Programmable Interface which allows offline data management, so that the search becomes more flexible and unlimited per page. The purpose of this tracking system is to track and find fraudulent websites based on certain keywords. The tracking procedure is adopted based on the Special Criminal Investigation Unit of Yogyakarta Regional Police Department. The keywords used for the input data is telephone number or website address. The telephone number is then filtered and break down into area code, space character, and number separator using regular expression (regex) method. The testing method of this study is done by using Software Usability Test method, which produced score 68.8. A score minimum for a system that can accepted are 68. So, based on the results of testing, known that the system is acceptable. The implementation of a tracking system it allows the police found some site false of one report, so to minimize the number of dupes.