The Design of Lecturer Performance Evaluation Model Based on Analytic Network Process (ANP)

Purwani, Fenny and Jalinus, Nizwardi and Ambiyar, Ambiyar (2017) The Design of Lecturer Performance Evaluation Model Based on Analytic Network Process (ANP). In: 4 th International Conference on Technical and vocation Education and Training Padang, 9-11 November 2017, Padang.

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Abstract

One effort to improve the quality of higher education is a service to students, to improve the quality of lecturers. In an effort to develop the quality and career of a lecturer, then the lecturer's performance is important to be evaluated to get the right information. Most lecturer performance evaluations are generally limited only from the assessment of the students on the learning process in the classroom. In this research, an evaluation model using Multi Criteria Decision Making (MCDM) is designed to evaluate the lecturer's performance of factors affecting lecturer performance problems. Factors that affect the performance of lecturers will be seen from the variables of motivation, self-esteem, competence and job satisfaction. To reflect the correlation of dependence between factors on lecturer performance evaluation is proposed by using Analytic Network Process (ANP) method which is one of MCDM technique. ANP method is considered capable to present the level of importance of various parties by considering the various criteria and sub criteria that exist and can be used to build a prediction of human resource performance measurement based on weighting factors affecting the performance of lecturers. In this research expected to produce an effective lecturer performance evaluation model that can support decision making for lecturers quality development.

Item Type: Conference or Workshop Item (Paper)
Subjects: L Education > L Education (General)
Divisions: Fakultas Teknik > Pendidikan Teknik Mesin - S1
Depositing User: Mrs. Wiwi Sartika
Date Deposited: 21 Aug 2018 06:11
Last Modified: 21 Aug 2018 06:11
URI: http://repository.unp.ac.id/id/eprint/16137

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