Abstract— ARAS is a method based on the principle that
alternatives must have the largest ratio to produce an optimal
solution. COPRAS is a method based on the ratio of favorable
criteria and adverse criteria. WASPAS is a method that can
reduce errors or optimize estimates for the selection of the highest
and lowest values. ARAS, COPRAS AND WASPAS methods are
the methods used for ranking. Determination of thesis examiner
lecturers in this study using the ARAS, COPRAS, and WASPAS
methods with 5 criteria: tenure, functional, competence,
education, and study assignments and there are 20 alternative
data. The appointment of thesis examiners at STMIK Triguna
Dharma is currently carried out directly and manually and
sometimes overrides the number of students to be tested so that
the number is less balanced for each lecturer. It is still found that
less than optimal decisions when appointing lecturers are not in
accordance with the theme of student thesis so that the value of the
quality of scientific work decreases. For that, we need a system
that is useful in determining prospective examiners, to match the
competence of prospective examiners, and not too many students
will be tested so that they are more focused. Comparison of the
methods in this study by ranking to obtain an optimal and
objective alternative begins by determining the weight of each
criterion, the ranking results are sorted from the highest value so
that the selection of examiners is easy to determine and as a
recommendation tool for decision making. To get the best choice,
the ARAS method uses the highest utility value (Ki), the COPRAS
method is based on the highest quantitative utility assessment
value (Ui) and the WASPAS method uses the highest preference
value (Qi) to get the best choice. The best alternative with the
ARAS method produces (A6 = 0.9385), then A5, A19, A3, A11,
A14, A16, A18, A10, A4, A17, A9 deserve to be recommended. The
COPRAS method yielded (A6=100) and the WASPAS method
yielded (A6=0.7083).