Sunarti, Sunarti and Wahyono, Irawan Dwi and Putranto, Hari and Saryono, Djoko and Bukhori, Herri Akhmad and Widyatmoko, Tiksno (2021) Optimation parameter and attribute naive bayes in machine learning for performance assessment in online learning. 2021 Fourth International Conference on Vocational Education and Electrical …, 2021.
Full text not available from this repository.Abstract
This study makes a mobile-based application to assess students who practice the online industry in companies. The company has student assessment criteria that some companies rate almost the same as employee performance appraisals. The company has 14 primary and ten secondary parameters, and both have different value weights and student ratings from the student's school. Overcoming the problem of differences in the assessment parameters of each company and school, this research uses a mobile application that uses machine learning to conduct training on each parameter with a different weight so that the highest rating weight is obtained. All results of testing in this study are that the average accuracy is 83.8%.
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Fakultas Sastra (FS) > Laporan Karya Ilmiah FS |
| Depositing User: | library UM |
| Date Deposited: | 29 Apr 2021 06 |
| Last Modified: | 21 Jun 2023 01:27 |
| URI: | http://repository.um.ac.id/id/eprint/196726 |
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