Astuti, Femi Dwi (2018) SELEKSI FITUR FORWARD SELECTION PADA ALGORITMA NAIVE BAYES UNTUK KLASIFIKASI BENIH GANDUM. Informasi interaktif : Jurnal Informatika dan Teknologi Informasi, 3 (3). pp. 175-180. ISSN 2527-5232
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Abstract
Wheat (Triticum aestivum L) is one of the staple food ingredients besides rice. The demandfor the wheat in the world until 2020 is estimated to increase by 1.6% per year. The data processing for wheat seeds has been done a lot, one of them is by using data mining classification techniques. The feature selection is used before the classification process to optimize the accuracy values from the classification results. Thefeature selection used in this research is forwarding the selection which is applied to the Naive Bayes algorithm to classify the wheat seeds. The results of this study indicate that the value of the accuracy and the wheat classification after using thefeature selection has a higher value of 93.81% compared to the condition before using thefeature selection of90.48 0/0. The precision results also increased from 91.49% to 94.81%. Keywords: Forward Selection, Naive Bayes, Classification, Gandum.
| Item Type: | Article |
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| Uncontrolled Keywords: | Forward Selection, Naive Bayes, Classification, Gandum |
| Subjects: | A Karya Umum (General) > Ilmu Komputer (Computer Science) > Sistem Pendukung Keputusan (Decision Support Systems) |
| Divisions: | Jurnal (Journal) |
| Depositing User: | Titis Pratiwi |
| Date Deposited: | 08 Apr 2019 08:51 |
| Last Modified: | 08 Apr 2019 08:51 |
| URI: | http://eprints.akakom.ac.id/id/eprint/8348 |
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