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All Journal JURNAL ILMIAH INFORMATIKA Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) bit-Tech Jurnal Sisfotek Global INFOKUM Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Informatika
Wira Hadinata, Wira
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Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering

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Journal : Jurnal Informatika

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Data Mining Technique in Detecting and Predicting Cyber In Marketplace Sector Waruwu, Jurisman; Hadinata, Wira; Febriyani, Siska; Wijayanti, Rini
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.350

Abstract

Marketplace is one business solution that can be profitable, because it is not bound by time and place. However, marketplace can be misused by irresponsible parties, and can harm others. Then a pattern is needed to predict cybercrime in order to prevent it. To get a pattern, we can use data mining. This paper presents a general idea about the model of Data Mining techniques and diverse cybercrimes in market place applications. This paper implements data mining techniques like K-Means, Influenced Association Classifier and J48 Prediction tree for investigating the cybercrime data sets. K-means selects the initial centroids so that the classifier can mine the record and also formulate predictions of cybercrimes with J48 algorithm. The knowledge of K-Means, Influenced Association Classifier and also J48 Prediction tree tends certainly to afford a enhanced, incorporated, and precise result over the cybercrime prediction in the marketplace sectors and prevent the cybercrime.
Co-Authors Andi Gunawan Febriyani, Siska Fitriani, Chair Anggita Hermanto, Toto Irwan Irwan Jurisman Waruwu Puspitasari, Nyi Dewi Ricesa, Wieke Saepudin, Muhamad Stianingsih, Lilis Wijayanti, Rini