Implementation of ID3 algorithm classification using webbased weka

Fitrani, Ariif and Rosid, Mochamad Alfan and Findawati, Yulian and Yunianita, Rahmawati and Anam, A K (2019) Implementation of ID3 algorithm classification using webbased weka. The 1st International Conference on Engineering and Applied Science, 1381. 012036.

Text Implementation of ID3 algorithm.pdf Download (1MB)

Abstract

The Bangil District Court is an IB class court that handles a large number of case cases. Every year more and more case cases are included in the Bangil District Court, but not all case cases are in a mutation status. By using classification techniques that can process large amounts of data to find patterns that occur in case data. Data processing is used to predict case minutation with the decision tree method using ID3 algorithm. Case data has 8 attributes and has been classified into 6 parts, namely division based on Case Type, Register, Case Classification, Length of Process, Public Prosecutor and Decision with a goal of Mutation Status. Weka 3.6 is an API that is used to build rules / rule bases. The rule that was formed was then implemented in the making of a case status prediction application in the web-based Bangil District Court.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General) Q Science > Q Science (General)
Divisions:	Faculty of Engineering > School of Computer Engineering
Depositing User:	yuni anita
Date Deposited:	03 Dec 2021 08:14
Last Modified:	04 Dec 2021 02:56
URI:	http://eprints.umsida.ac.id/id/eprint/9025

Actions (login required)

View Item