Abstract
K-Nearest Neighbor is a method that can classify data based on the closest distance. In addition, K-NN is one of the supervised learning algorithms with learning processes based on the value of the target variable associated with the value of the predictor variable. In the K-NN algorithm, all data must have a label, so that when a new data is given, the data will be compared with the existing data, then the most similar data is taken by looking at the label of that data. Filling and processing many questionnaires to determining the results of lectural evaluation from the performance of lecturers certainly requires a lot of time and process. Therefore, it is necessary to apply the K-NN Manhattan Distance method. In this study, the testing data is taken from one of the training data and has a classification result that is "Very Good". After going through the K-NN Manhattan Distance method with k being the closest / smallest neighbor, then the following results are obtained: Distance 5.4, the classification result is "Very Good" and 74.03% of similarity value. Based on the results obtained, the result of the classification from K-NN Manhattan Distance method show similarities with the results of the pre-existing classification.
Highlights
Every human being needs education, up to when and wherever he is
This study aims to produce lecturer performance reports through a multicriteria decision support system such as Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW)
The output of this system is the result of lecture evaluations that are calculated and processed using the Manhattan Distance K-Nearest Neighbor (K-NN) method
Summary
Every human being needs education, up to when and wherever he is. In addition, to achieve the quality of human resources that are reliable, superior and highly competitive, the quality of education is needed.The issue of quality in higher education is inseparable from the role of the lecturer. Every human being needs education, up to when and wherever he is. To achieve the quality of human resources that are reliable, superior and highly competitive, the quality of education is needed. The issue of quality in higher education is inseparable from the role of the lecturer. It is appropriate for each college to give awards to lecturers whose performance is very good. For lecturers who have been assigned to give lectures, an evaluation of their learning performance is needed (Miarso, 2004). The performance evaluation of each lecturer in the Faculty of Engineering, University of Malikussaleh (UNIMAL) can be taken from the results of the lecture evaluation evaluation questionnaire at the Faculty of Engineering
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