OPTIMALISASI PENENTUAN JURUSAN MELALUI PERBANDINGAN METODE MOORA-WASPAS

Authors

  • Ullya Mega Wahyuni Universitas Andalas
  • Afriyanti Dwi Kartika Universitas Andalas

DOI:

https://doi.org/10.30656/jsii.v8i2.3610

Abstract

Labor absorption from graduates of Vocational High Schools is lower than graduates of other education levels. It can see from the high unemployment rate of Vocational High Schools graduates of 13.55%. One way to improve vocational high school graduates' competence is by choosing the right major. Choosing the right major can help improve students' skill competencies and comfort during the teaching and learning process. The decision to choose a major that students currently make is based on the influence of others or based on the most in-demand majors. It will cause a mismatch in the placement of majors with the abilities of prospective students so that the material given during class will be difficult to accept. To help decision-making, the results of the recommendations from the decision support system (DSS) can use as a reference for selecting majors for prospective students. The data to be tested consists of seven criteria with six alternatives. The data is analyzed using the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method and the Weight Aggregated Sum Product Assessment (WASPAS). The test results from both methods provide the same recommendation, namely the selection of the Electrical Power Installation Engineering Department as the highest preference based on the talents and interests of prospective students from on test data. When viewed from the time required for calculation analysis, the WASPS method requires faster than the MOORA method. The accuracy of the two methods used gave the same results, namely 50%. So it can conclude that the WASPAS and MOORA methods are overall suitable and can provide solutions to problems in assessing and evaluating majors by the talents and interests of prospective students.

Downloads

Download data is not yet available.

Downloads

Published

2021-09-11

Issue

Section

Articles