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Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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KLASIFIKASI SELEKSI ATRIBUT PADA SERANGAN SPAM MENGGUNAKAN METODE ALGORITMA DECISION TREE
Keywords:
Classification, Spam, Decision Tree.
Abstract
The Internet is very okay for right now, the Internet cannot be separated from its use of email, one of the threats that occur when using email is spam, spam is a message or email is unwanted by the recipient and sent in the masses.. Research on spam attacks are derived from the dataset as much spam 4601 records comprising 1813 records are considered spam and not spam data 278 with initial attributes as much as 57 attribute with attribute class 1, wants done on using select attribute with the decision tree becomes 15 attribute with attribute class 1 conducted 3 experiments testing with percentage attribute 30%, 50% and 70% select attribute obtained the results of the select attribute features of 70% better results were obtained from 30% or 50% with accuracy values of 92,469%.
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References
Adisantoso, J., & Rahman, W. (2009). Pengukuran Kinerja Spam Filter Menggunakan Graham’s Naive Bayes Classifier. Jurnal Ilmu Komputer Agri-Informatika, 2(Spamhaus), 1–8. Retrieved from http://journal.ipb.ac.id/index.php.jika
Chandra, W. N., Indrawan, G., & Sukajaya, I. N. (2016). Spam Filtering Dengan Metode Pos Tagger Dan Klasifikasi Naïve Bayes. Jurnal Ilmiah Teknologi Informasi Asia (JITIKA), 10(1), 47–55.
Harryanto, F. F., & Hansun, S. (2017). Penerapan Algoritma C4 . 5 untuk Memprediksi Penerimaan Calon Pegawai Baru di PT WISE. Jatisi, 3(2), 95–103.
Hayuningtyas, R. Y. (2017). Aplikasi Filtering of Spam Email Menggunakan Naïve Bayes. IJCIT (Indonesia Journal on Computer and Information Technology, 2(1), 53–60.
Mulyadi. (2016). Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Beasiswa Prestasi. JURNAL SISTEM INFORMASI STMIK ANTAR BANGSA, V(2), 139–145.
Purnia, D. S., & Warnilah, A. I. (2017). Implementasi Data Mining Menggunakan Algoritma Apriori. Prosiding SINTAK 2017, 2(2), 31–39.
Rifai, B. (2017). Management Bandwidth Pada Dynamic Queue Menggunakan Metode Per Connection Queuing. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 2(2), 73–79. Retrieved from http://ejournal.nusamandiri.ac.id/ejurnal/index.php/jitk/article/view/246
Sudibyo, A., Asra, T., & Rifai, B. (2018). Laporan Hasil Penelitian.
Chandra, W. N., Indrawan, G., & Sukajaya, I. N. (2016). Spam Filtering Dengan Metode Pos Tagger Dan Klasifikasi Naïve Bayes. Jurnal Ilmiah Teknologi Informasi Asia (JITIKA), 10(1), 47–55.
Harryanto, F. F., & Hansun, S. (2017). Penerapan Algoritma C4 . 5 untuk Memprediksi Penerimaan Calon Pegawai Baru di PT WISE. Jatisi, 3(2), 95–103.
Hayuningtyas, R. Y. (2017). Aplikasi Filtering of Spam Email Menggunakan Naïve Bayes. IJCIT (Indonesia Journal on Computer and Information Technology, 2(1), 53–60.
Mulyadi. (2016). Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Beasiswa Prestasi. JURNAL SISTEM INFORMASI STMIK ANTAR BANGSA, V(2), 139–145.
Purnia, D. S., & Warnilah, A. I. (2017). Implementasi Data Mining Menggunakan Algoritma Apriori. Prosiding SINTAK 2017, 2(2), 31–39.
Rifai, B. (2017). Management Bandwidth Pada Dynamic Queue Menggunakan Metode Per Connection Queuing. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 2(2), 73–79. Retrieved from http://ejournal.nusamandiri.ac.id/ejurnal/index.php/jitk/article/view/246
Sudibyo, A., Asra, T., & Rifai, B. (2018). Laporan Hasil Penelitian.
Published
2018-09-15
How to Cite
Sudibyo, A., Asra, T., & Rifai, B. (2018). KLASIFIKASI SELEKSI ATRIBUT PADA SERANGAN SPAM MENGGUNAKAN METODE ALGORITMA DECISION TREE. Jurnal Pilar Nusa Mandiri, 14(2), 145-150. https://doi.org/10.33480/pilar.v14i2.31
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