ANALISA MACHINE LEARNING DENGAN ALGORITMA MULTI-LAYER PERCEPTRON UNTUK PENANGANAN KEJAHATAN PHISHING
DOI:
https://doi.org/10.51401/jinteks.v5i1.2221Keywords:
Phishing, Multi-layer Perceptron, email.Abstract
After covid-19 become pandemic, all policies required work and school from home. Therefore a lot of work is communicated by e-mail. With the increasing use of e-mail among workers, it is also impacted cyber crime that increased also. And one of them is the crime of phishing via email. The motive for this phishing crime is to obtain personal data from victims, namely users and passwords in order to gain both material and non-material benefits. Therefore the author wants to handle cyber crime by using machine learning, namely the Multi-layer Perceptron. Writer hope, this machine learning can prevent the occurrence of phishing crimes maximally and accurately. In this study, researchers used an e-mail dataset sourced from Kaggle which consisted of 1368 phishing e-mails & 4538 non-Phishing e-mails. and users will test the level of accuracy using a Multi-layer Perceptron algorithm. After testing, the accuracy rate was 99.65%. This proves that the Multi-layer Perceptron model is effective enough to deal with the crime of phishing.
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