Selection Modification of Model in Profile Matching Algorithm for Admission and Placement of Assistant Members

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Irawan Dwi Wahyono, Khoirudin Asfani, Hari Putranto, Djoko Saryono, Herri Akhmad Bukhori, Tiksno Widyatmoko, Mohd Shafie Rosli, Nurbiha A. Shukor, Noor Dayana Abdul Halim

2022 Proceeding - IEEE 8th Information Technology International Seminar, ITIS 2022 Conference paper Cited by 4 Quartile

Abstract

Practicum assistants assist practicum supervisors in practicum activities in the subjects being taught. A practicum assistant must have the skills and criteria needed to carry out a practicum assistant's duties so that students can participate appropriately in practicum activities. This study aims to select and place students to become electrical machine practicum assistants. The problem of selection is many rules with the complexity of student data. This study uses Profile Matching, which uses model development to improve accuracy in determining student placement as an electric machine practicum system. The tests in this study tested the accuracy in selecting students as assistants and tested the placement accuracy. This test obtained assistant selection accuracy of 86.6% and placement accuracy according to the Division of 83.3% using three models. Meanwhile, at the division placement stage, the accuracy rate obtained is 83.3%, with a weighting percentage of each Core Factor and Secondary Factor of 70% and 30%. © 2022 IEEE.

Affiliations

Universitas Negeri Malang, Department of Engineering, Malang, Indonesia; Universitas Negeri Malang, Faculty of Engineering, Malang, Indonesia; Universitas Negeri Malang, Department of Indonesian, Malang, Indonesia; Universitas Negeri Malang, Department of German, Malang, Indonesia; Universiti Teknologi Malaysia, Departemen of Education, Malaysia