PENERAPAN TEKNIK DATA MINING ALGORITMA C4.5 UNTUK PREDIKSI KESESUAIAN TINGKAT PENDIDIKAN DENGAN BIDANG PEKERJAAN PADA ALUMNI UNIVERSITAS SRIWIJAYA

SANTOSO, BUDI and Desiani, Anita and Amran, Ali (2021) PENERAPAN TEKNIK DATA MINING ALGORITMA C4.5 UNTUK PREDIKSI KESESUAIAN TINGKAT PENDIDIKAN DENGAN BIDANG PEKERJAAN PADA ALUMNI UNIVERSITAS SRIWIJAYA. Undergraduate thesis, Sriwijaya University.

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Abstract

Universitas Sriwijaya has a talent and career development center (CDC) unit for alumni. The CDC website provided a questionnaire form for alumni to fill out. The features on the questionnaire had relevance regarding the level of education of alumni with their job such as lectures, research projects, internships, practicum, field work, discussions, time to get a job, fields of science, outside the field of science, English, internet, computers, and the relationship between study program and work. Based on data on the CDC from 2013 to 2015, there were 1143 alumni of Sriwijaya University who filled out the questionnaire form completely, but only 1019 alumni who had jobs. The selection of attributes was done by calculating using the C4.5 algorithm . This study used the k-fold cross-validation confusion matrix method to see the success rate of the C4.5 algorithm. The result of accuracy in the testing process using confusion matrix was 92% for the decision tree method using the C4.5 algorithm. The best features selected were 9 features, namely the level of learning in the discussion, the level of competence outside the field of science, the level of learning in field work, the level of competency in English skills, the level of learning in internships, the level of learning in practicum, the level of competence in the field of science, the level of learning in research projects, as well as the time to get a job. Based on the accuracy obtained, it can be concluded that the C4.5 algorithm worked very well in the feature selection process and improved accuracy.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data mining, Klasifikasi, Pohon Keputusan, Algoritma C4.5, tingkat Pendidikan
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science.
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Users 11038 not found.
Date Deposited:	03 Mar 2021 04:51
Last Modified:	03 Mar 2021 04:51
URI:	http://repository.unsri.ac.id/id/eprint/43374

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