S Sunarti, Irawan Dwi Wahyono, Hari Putranto, Djoko Saryono, Herri Akhmad Bukhori, Tiksno Widyatmoko
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%. © 2021 IEEE.
Universitas Negeri Malang, Department of German, Malang, Indonesia; Universitas Negeri Malang, Department of Engineering, Malang, Indonesia; Universitas Negeri Malang, Department of Indonesian, Malang, Indonesia
