Sistem Deteksi Surel SPAM Dengan DNSBL Dan Support Vector Machine Pada Penyedia Layanan Mail Marketing

Mail marketing is an effective communication medium for users and internet providers. Many companies use email as a mean of with customers to ensure are not left behind the latest information, at once provide personalized offers specific customers. However, all emails that sent reach mail inbox expected. There several factors cause including content does comply writing rules tends have SPAM signatures, invalid e-mail addresses, sender domains registered in blacklist so forth. service providers such MTarget Mailchimp must by their no potential become spam, because it can affect services will be blacklisted, thus promotional goals achieved. In case, system needed check customer, detected spam applications Gmail. This research produces validator prevent sending SPAM, reduce risk provider being blacklisted which results delays promotion via decrease turnover. The proposed method used this Domain Name System-Based Blackhole List (DNSBL) IP domain Support Vector Machine (SVM) sent. developed has been functioning expected accuracy rate 97.54% detecting emails.