Open AccessIMPLEMENTASI ALGORITMA C4.5 UNTUK PENGOLAHAN DATA HUTAN LINDUNG (STUDI KASUS: DINAS KEHUTANAN SUMATERA UTARA)
Author(s) -
Yolanda Angelita S
Publication year - 2019
Publication title -
komik (konferensi nasional teknologi informasi dan komputer)
Language(s) - English
Resource type - Journals
eISSN - 2597-4645
pISSN - 2597-4610
DOI - 10.30865/komik.v3i1.1577
Subject(s) - computer science , decision tree , data mining , forestry , process (computing) , set (abstract data type) , tree (set theory) , geography , mathematics , mathematical analysis , programming language , operating system
Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques are done collecting records (Training set).Forests are a very important role for national and state development. Because forests can provide maximum benefits. However, the current situation of Protected Forest has experienced a drastic reduction in area, for that reason utilizing Protected Forest data can produce information about Protected Forest that is a priority and which is not a priority to be reforested or handled first so that the forest function is correct in its use.C4.5 algorithm or commonly known as the decision tree method can provide rule data information to describe the processes associated with processing protected forest data. The characteristics of the classified data can be obtained clearly, both in the form of decision tree structures and in the form of rules. So that in the testing phase with Tanagra 1.4 software can assist in processing valid Protection Forest data.Keywords: Data Mining, Protection Forest, C4.5 Algorithm, Tanagra Version 1.4