ASSAMI, SRI WAHYUNI (2021) KLASIFIKASI SISWA PENERIMA BEASISWA CSR (CORPORATE SOCIAL RESPONSIBILITY) MENGGUNAKAN ALGORITMA NAÏVE BAYES (Studi Kasus : SMK Negeri 1 Ponjong). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
SRI WAHYUNI ASSAMI Program Studi Informatika, Fakultas Sains & Teknologi Universitas Teknologi Yogykarta Jl. Ringroad Utara Jombor Sleman Yogyakarta E-mail : sriwahyuniassami@gmail.com ABSTRACT CSR (Corporate Social Responsibility) scholarships are scholarships sourced from companies or agencies that are given to students every time a company or agency comes and provides funds to schools. In the process of determining the recipients of CSR (Corporate Social Responsibility) scholarships at SMK Negeri 1 Ponjong still use Microsoft Excel in conducting data collection and selection for each prospective scholarship recipient so that it is not uncommon for BKK officers to experience difficulties in the selection process because of the large number of selected data. At SMK Negeri 1 Ponjong, the determination of CSR (Corporate Social Responsibility) scholarship recipients uses several criteria or parameters, namely the type of residence, means of transportation, KPS recipients, parents' income, and housing conditions. This study resulted in a classification system for CSR Scholarship Recipients (Corporate Social Responsibility) using the Naïve Bayes Algorithm and obtained an accuracy of 83% using 28 training data and 12 test data. Keywords: Classification, Scholarship, Naïve Bayes
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 07 Sep 2021 04:35 |
| Last Modified: | 07 Sep 2021 04:35 |
| URI: | http://eprints.uty.ac.id/id/eprint/7996 |
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