Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna

Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Runnin...

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Main Authors: Yunita Ardilla, Wilda Imama Sabilla, Nurissaidah Ulinnuha
Format: Article
Language:English
Published: P3M, Politeknik Negeri Cilacap 2021-08-01
Series:Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap
Subjects:
Online Access:https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/616
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author Yunita Ardilla
Wilda Imama Sabilla
Nurissaidah Ulinnuha
author_facet Yunita Ardilla
Wilda Imama Sabilla
Nurissaidah Ulinnuha
author_sort Yunita Ardilla
collection DOAJ
description Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Running time required for the execution of this algorithm is quite long, so this study proposed to use the ant tree miner algorithm which is a development algorithm from the C4.5 decision tree. Ant tree miner works by utilizing ant colony optimization in the process of building its tree structure. Use ant colony optimization expected can optimize the tree that will be formed. From the testing that have been carried out, an accuracy of about 95% is obtained in the process of classifying Zoo dataset with the number of ants between 60 - 90.
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spelling doaj.art-d90614cf2ae24e58aaed097bfa15e7822022-12-21T21:27:03ZengP3M, Politeknik Negeri CilacapInfotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap2087-16272685-98582021-08-0112215015410.35970/infotekmesin.v12i2.616245Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis FaunaYunita Ardilla0Wilda Imama Sabilla1Nurissaidah Ulinnuha2UIN Sunan AmpelPoliteknik Negeri MalangUIN Sunan Ampel SurabayaClassification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Running time required for the execution of this algorithm is quite long, so this study proposed to use the ant tree miner algorithm which is a development algorithm from the C4.5 decision tree. Ant tree miner works by utilizing ant colony optimization in the process of building its tree structure. Use ant colony optimization expected can optimize the tree that will be formed. From the testing that have been carried out, an accuracy of about 95% is obtained in the process of classifying Zoo dataset with the number of ants between 60 - 90.https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/616algoritma ant tree mineralgoritma c4.5k-fold cross validationdata miningklasifikasi
spellingShingle Yunita Ardilla
Wilda Imama Sabilla
Nurissaidah Ulinnuha
Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap
algoritma ant tree miner
algoritma c4.5
k-fold cross validation
data mining
klasifikasi
title Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
title_full Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
title_fullStr Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
title_full_unstemmed Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
title_short Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
title_sort implementasi algoritma ant tree miner untuk klasifikasi jenis fauna
topic algoritma ant tree miner
algoritma c4.5
k-fold cross validation
data mining
klasifikasi
url https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/616
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AT wildaimamasabilla implementasialgoritmaanttreemineruntukklasifikasijenisfauna
AT nurissaidahulinnuha implementasialgoritmaanttreemineruntukklasifikasijenisfauna