Putra, Martin (2020) PENERAPAN METODE DECISION TREE C4.5 UNTUK KLASIFIKASI PREDIKSI PENYAKIT KARIES GIGI (Studi Kasus : Klinik Gigi Drg. Pipin Ikawati Yogyakarta). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
This study developed a classification system by utilizing the method as a process in determining the classification of dental caries disease suffered based on the symptoms experienced. This system can help users determine dental caries automatically so that it can help users knowing the illness. This research focuses on how to design and implement C4.5 decision tree algorithm method into the system to be created. System design tools used are level diagram, context diagram, data flow diagrams (DFD), entity relationship diagrams (ERD), and table relationships. In implementing the system, PHP are used as programming languages and MySQL are used as the database. Keywords: Classification, Decision Tree, MySQL, Web, PHP, Dental Caries
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 25 Mar 2020 14:47 |
| Last Modified: | 25 Mar 2020 14:47 |
| URI: | http://eprints.uty.ac.id/id/eprint/4834 |
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