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All Journal Jurnal Teknologi dan Manajemen Industri Terapan J-Icon : Jurnal Komputer dan Informatika Jurnal Penelitian Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Router : Jurnal Teknik Informatika dan Terapan
Arini Aha Pekuwali
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Journal : J-Icon : Jurnal Komputer dan Informatika

 1 
SELEKSI FITUR YANG BERPENGARUH MENGGUNAKAN NILAI MEAN PADA KLASIFIKASI FRAGMEN METAGENOME Arini Aha Pekuwali; Wisnu Ananta Kusuma; Agus Buono
J-Icon : Jurnal Komputer dan Informatika Vol 8 No 1 (2020): Maret 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v8i1.2188

Abstract

Pekuwali (2018) has conducted research into the classification of metagenome fragments using spaced k-mers. Optimize the arrangement of features using Genetic Algorithms. Pekuwali (2018) concluded that the best arrangement of features or called chromosomes is 111111110001 with a fitness value of 85.42. Chromosome 111111110001 produces 336 features of extracting DNA fragments. This research aims to find out which features influence classi fi cation and the resulting accuracy. The method used is the Mean value. The mean value method was chosen because the data distribution is normal or close to normal. This study concludes that the influential features in the classification are features 22 to 27 with an accuracy of 78.83% and features 38 to 43 with an accuracy of 79.67%.
Co-Authors Agus Buono Aristho umbu nggaba kaho Darmawan Juari K. Romu Desy Asnath Sitaniapessy Leonard Marten Doni Ratu Marlon Pura Tanya Murry Albert Agstin Lobo Septian Justino Manung Reku Landu Wulang Sri Rani Wisnu Ananta Kusuma