Decision support system for determining thesis supervisor using analytical hierarchy process (AHP) method

Abstract

The determination of lecturers is important to facilitate the selection of lecturers in accordance with lecturers' expertise and titles proposed by students. Currently, the assignment of determining the thesis supervisor is usually determined by the Head of Study Program, in the process of determining still using a conventional way by relying on personal knowledge. Often occurs less than an optimal decision, where the appointed lecturer, the field of expertise is less precise with the title of the proposed student thesis. Based on the above problems, it takes a solution that can consider the field of lecturer expertise in accordance with the criteria for determining lecturers, lectured subjects, conformity of thesis title topics, and duration of guidance. Data is processed from Google Scholar extraction, Letter of Decision of teaching each semester, student thesis title submissions, long guiding students, followed by Analytical Hierarchy Process (AHP) method, highly effective and structured method. The result obtained by the largest eigenvector value is 32% means that the proposed title of the proposed thesis is the variable that has influence on the determination of the lecturer, followed by the lecturer's research interest with 30%, the lecture taught by the lecturer with 28% and the last criterion determine the supervisor is the old lecturer has guided by 8%.