Robbi Rahim, Ilka Zufria, Nuning Kurniasih, Muhammad Yasin Simargolang, Abdurrozzaq Hasibuan, Dian Utami Sutiksno, Ricardo Freedom Nanuru, Jusuf Nikolas Anamofa, Ansari Saleh Ahmar, G.S. Achmad Daengs
Data Mining is a process of exploring against large data to find patterns in decision making. One of the techniques in decision-making is classification. Classification is a technique in data mining by applying decision tree method to form data, algorithm C4.5 is algorithm that can be used to classify data in tree form. The system has been built that shows the results of good performance and minimal error in view of the system that is able to distinguish the anomaly traffic with normal traffic. Data mining inventory system applications can facilitate the control of inventory in the company to reduce production costs. © 2018 Robbi Rahim, Ilka Zufria, Andino Maseleno, Danadyaksa Adyaraka, Muhammad Yasin Simargolang, Abdurrozzaq Hasibuan.
School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kubang Gajah, Malaysia; Department of Information System, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia; Faculty of Communication Science, Library and Information Science Program, Universitas Padjadjaran, Bandung, Indonesia; Department of Informatics, Universitas Asahan, Kisaran, Indonesia; Department of Industry Engineering, Universitas Islam Sumatera Utara, Medan, Indonesia; Politeknik Negeri Ambon, Ambon, Indonesia; Universitas Halmahera, Tobelo, Indonesia; STKIP Gotong Royong, Masohi, Indonesia; Department of Statistics, Universitas Negeri Makassar, Makassar, Indonesia; Universitas 45 Surabaya, Surabaya, Indonesia
