Title: WhatsApp Messenger Forensic Analysis Based on Android Using Text Mining Method

Issue Number: Vol. 7, No. 3
Year of Publication: Sep - 2018
Page Numbers: 319-327
Authors: Anang Marfianto, Imam Riadi
Journal Name: International Journal of Cyber-Security and Digital Forensics (IJCSDF)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002470


The development of telecommunications has increased very rapidly since instant internet-based instant messaging services to Indonesia. However, on the other hand, many people abuse WhatsApp for digital crimes such as fraud, pornography, or drug networks. In some of the more common civil cases, start using evidence in the form of conversations, pictures, videos, and more from the WhatsApp. The applied Forensic NIST mobile method can get picture, video, or text data contained in WhatsApp. So that text messages can be analyzed and provide information about the indications associated with the intervention of others using text mining methods. Subjects in this research is to build web system using Python programming language to be able to identify text messages sent between the two actors. The method used in identifying messages is to calculate the weighted value of each word on documents sent using the Tf-Idf and Cosine Similarity methods, which prior to the text-mining method application must identify the first perpetrator's message with the NIST Forensics method application to obtain text message conversations. The result of this study is a web system that can identify text messages from the perpetrator's conversation whether there is any indication of interference by others or not.