C4.5 Algorithm Modeling For Decision Tree Classification Process Against Status UKM

Decision Tree is a tree structure, in which each tree node presents the attribute that has been tested. C4.5 Algorithm is an algorithm used to form decision tree. This study was conducted to study the classification of decision with C4.5 Algorithm which is implemented in analysing the survival of the UKM that recorded in public Official UKM. Data collected through library and field research. Then the historical data will be implemented into the data mining classification technique. The result of data mining test using decision tree classification with C4.5 Algorithm able to describe from root node to tree structure that determine the survive or not survive of the UKM.

REFERENCES

[1] Kusrini, Emha Taufiq Luthfi, �Algoritma Data Mining�, Publisher Andi , Yogyakarta, 2007.

[2] Sani Susanto, Ph.D., Dedy Suryadi, S.T., M.S., �Introduction to Data Mining Digging Knowledge From Data Chunks�, Andi Publisher, Yogyakarta, 2010.

[3] Prabowo PudjowidodoT Rahmadya Triashandayanto, Herlawati, Fajar Astuti Hermawati,� Implementation of Data mMining with Matlab Data Mining�, Rekayasa Sains, 2010.

[4] Achmad Basuki, Iwan Syarif, �Decision tree�.http://lecturer.eepisedu/~basuki/lecture/DecisionTree.pdf. Access on April, 8, 2018.

[5] Http://staff.blog.ui.ac.id/jefri.p/2012/09/studi-ecil-klasifikasi-bayesian-network-decision-ree-dan-svm-untuk-machine-learning-pada-weka/i acces on April,14, 208.

[6] Tifa, Subianto, �Data Mining Decision Tree�. Http://www.informatika.unsyiah.ac.id/tfa/dm/dmpraktikum-decision-tree.pdf. Access on 26, April, 2018.

[7] Ginting, S.L., Zarman, Wendi,dan Hamidah, Ida, "Analysis And Application Of Algorithm C4.5 In Data Mining To Predict Student Period Based on Academic Value Data�, Prosiding Seminar Nasional Aplikasi Sains & Teknologi (SNAST) 2014, Yogyakarta, 15 November 2014, ISSN: 1979-911X, Hal. A263-A272, 2014.