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All Journal Jupiter Compiler J-SAKTI (Jurnal Sains Komputer dan Informatika) Infotekmesin J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Polinema (JIP)
Wilda Imama Sabilla
Politeknik Negeri Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Journal : Infotekmesin

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Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna Yunita Ardilla; Wilda Imama Sabilla; Nurissaidah Ulinnuha
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.616

Abstract

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.
Co-Authors Astiti, Sarah Candra Bella Vista Dimas Wahyu Wibowo Muhammad Adisa Putra Perkasa Nurissaidah Ulinnuha Suryani, Dhebys Yunita Ardilla Yuri Ariyanto Zidan Shabira As Sidiq