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Image of OPTIMASI ALGORITMA DECISION TREE MENGGUNAKAN METODE ARTIFICIAL BEE COLONY UNTUK KLASIFIKASI DATA PENDERITA PENYAKIT DIABETES

Skripsi

OPTIMASI ALGORITMA DECISION TREE MENGGUNAKAN METODE ARTIFICIAL BEE COLONY UNTUK KLASIFIKASI DATA PENDERITA PENYAKIT DIABETES

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Penilaian anda saat ini :  

Diabetes is a long-term or chronic disease. Diabetes can attack anyone and under any conditions and will continue for a lifetime. In reality, most diabetes is predicted too late, causing complications with other diseases which will ultimately lead to death. This system is expected to be able to alert the risk of complications in diabetes patients in the future. Extract knowledge from diabetes data with machine learning to learn patterns. This research tests the effect of Decision Tree C4.5 optimization for classification with Artificial Bee Colony for selecting data attributes to be used. Classification using the Decision Tree C4.5 algorithm produces an accuracy of 0.74. Meanwhile, after selecting the Artificial Bee Colony feature, it produced an accuracy value of 0.77. The increase in classification accuracy reached 0.03. Optimization using the Artificial Bee Colony method succeeded in increasing the accuracy of the Decision Tree C4.5 algorithm in classification diabetes data.


Availability
Inventory Code Barcode Call Number Location Status
2407003992T149449T1494492024Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1494492024
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2024
Collation
xvii, VI-2 hlm.; ilus.; tab.; 28 cm
Language
Indonesia
ISBN/ISSN
-
Classification
518.107
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Prodi Teknik Informatika
Algoritma Decision Tree
Specific Detail Info
-
Statement of Responsibility
UIN Farrah
Other version/related

No other version available

File Attachment
  • OPTIMASI ALGORITMA DECISION TREE MENGGUNAKAN METODE ARTIFICIAL BEE COLONY UNTUK KLASIFIKASI DATA PENDERITA PENYAKIT DIABETES
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