JURNAL TEKNOLOGI DAN OPEN SOURCE
Vol 4 No 2 (2021): Jurnal Teknologi dan Open Source, December 2021

WhatsApp Chat Fraud Analysis Using Support Vector Machine Method

Fathur Rahman (STMIK Amik Riau)
Irfansyah Irfansyah (STMIK Amik Riau)
Rivaldi Dwi Andhika (STMIK Amik Riau)
Junadhi Junadhi (STMIK Amik Riau)



Article Info

Publish Date
20 Dec 2021

Abstract

Fraud is one of the most cyber crime on social media. One of the popular social media in Indonesia is Whatsapp. Cases of fraud through chat on Whatsapp application often occur in Indonesia, its due to lack of information. The research conducted related to the detection of words containing fraud in WhatsApp chat application. The methods in this research applies the literature study method to find secondary data in the references theories and relevant research. The data collection is carried out by collecting chats that lead to fraud cases and then processing them using RapidMiner application with SVM (Support Vector Mechine) method. The results of this research can be concluded that this research succeeded in implementing SVM algorithm for whatsapp fraud chat analysis with an accuracy rate of 84.21%

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Journal Info

Abbrev

JTOS

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi dan Open Source menerbitkan naskah ilmiah. yang berkaitan dengan sistem informasi, teknologi informasi dan aplikasi open source secara berkala (2 kali setahun). Jurnal ini dikelola dan diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik, Universitas Islam Kuantan ...