Open AccessC4.5 Classification Data Mining for Inventory Control
Author(s) -
Robbi Rahim,
Ilka Zufria,
Nuning Kurniasih,
Muhammad Yasin Simargolang,
Abdurrozzaq Hasibuan,
Dian Utami Sutiksno,
Ricardo Freedom Nanuru,
Jusuf Nikolas Anamofa,
Ansari Saleh Ahmar,
Achmad Daengs GS
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.3.12618
Subject(s) - data mining , decision tree , computer science , decision tree learning , process (computing) , operating system
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.