A WEB-BASED ACADEMIC STAFF PROFILE EVALUATIONSYSTEM

Abstract

The evaluation of employees’ performance of any tertiary institution is centered towards achieving the goals of the institution by measuring the contribution of each employee. Effective human resource evaluation is paramount to the development of any organization. An automated method is needed to remove all the conventional shortcomings and facilitate the duties of human resource management. In this thesis, rough set theory, a mathematical approach that deals with (vagueness and uncertainty) imperfect data analysis is adopted for evaluation of academic staff profile for promotion, grants and other academic purposes. The entire appraisal process of an academic staff is translated into a web-based application where every user can fill, edit, update, and submit his annual performance evaluation report form. The indiscernible property of rough set approach is a unique factor in assessing every academic staff under his department and faculty (school) by the head of department and dean respectively. With this, the system generates an information table handling all the necessary conditions for promoting an academic staff and the corresponding decisions taken. A model for rating publications is proposed to reduce the sentiments involved in manual rating.Reports are generated as output of each evaluation procedure. One hundred (100) dataset of Academic staff of Federal University of Technology, Akure, Nigeria was used to carry out the experiment. The results of evaluation using comparative analysis and precision metrics showed that the proposed system is efficient on the evaluation process.