Hidayah, Nurul (2019) SISTEM KLASIFIKASI PENERIMA BERAS MISKIN MENGGUNAKAN ALGORITMA DECISION TREE C4.5 (Studi Kasus: Kelurahan Tambakmerang, Girimarto, Wonogiri). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
The initial implementation of Raskin (rice forthe poor) distribution aims to help poor people. This activity is carried out every month, where the prospective recipient's data is always increasing or changing. In determining the criteria for Raskin recipients, errors often occur. In determining the criteria, it is only through subjective analysis, so errors can occur in determining who gets Raskin or not. If that happens the result is that the Raskin is misdirected and not to those who are entitled to receive it. Therefore this research was made in order to reduce errors in the classification of Raskin recipients. This research uses the Decision Tree algorithm which is a well-known technique in data mining. The Decision Tree method transforms large facts into decision trees that represent rules. Rules can be easily understood with natural language. Decision Tree is also useful for exploring data, finding hidden relationships between the number of potential input variables and a target variable. This algorithm has input in the form of training samples and samples. Keywords: Decision Tree, Poor people, Poor Rice (Raskin)
| 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: | 02 Nov 2019 01:16 |
| Last Modified: | 02 Nov 2019 01:16 |
| URI: | http://eprints.uty.ac.id/id/eprint/4136 |
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