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KLASIFIKASI BERITA OLAHRAGA MENGGUNAKAN ALGORITMA C5.0 BERBASIS ONTOLOGI

Syaifuddin, Luqman Arif (2019) KLASIFIKASI BERITA OLAHRAGA MENGGUNAKAN ALGORITMA C5.0 BERBASIS ONTOLOGI. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

This sports news classification uses the C 5.0 algorithm based on ontology. Ontology process is performed at preprocessing stage, the WordNet is taken from kateglo.com as an ontology base to find a synonymous words. As for the process of classification using C 5.0 algorithm. The research data is taken from the website sport.detik.com, the data used as much as 420 datasets. Additionally, the training process on the training document resulted in the construction of rule tree which was used for the categorization of the testing document. Testing for system using dataset of 400 for training documents, while 20 for testing documents. The experiment result show that highesti precision, recall, dan f-measure value is 100%, 80%, 88.89%. Based on those experiment result, it can be concluded that the C5.0 algorithm is very good for the classification of text.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201310370311133
Thesis Advisors: Yufis Ashar (0728088701), Maskur (0711098402)
Keywords: sastrawi stemmer, decision tree, C5.0, ontology, text classification, news
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201310370311133
Date Deposited: 19 Aug 2019 01:46
Last Modified: 19 Aug 2019 01:46
URI : http://eprints.umm.ac.id/id/eprint/49484

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