Open AccessAssessment of Employee Using Simple Multi-Attribute Technique Exploiting Rank (SMARTER) and Behaviorally Anchor Rating Scale (BARS) Method
Author(s) -
Heni Sulastri
Publication year - 2021
Publication title -
jurnal informatika dan sains/jisa (jurnal informatika dan sains)
Language(s) - English
Resource type - Journals
eISSN - 2776-3234
pISSN - 2614-8404
DOI - 10.31326/jisa.v4i2.944
Subject(s) - rating scale , scale (ratio) , quality (philosophy) , documentation , computer science , measure (data warehouse) , work (physics) , service (business) , simple (philosophy) , rating system , service quality , process (computing) , rank (graph theory) , process management , machine learning , data mining , psychology , engineering , marketing , mathematics , business , environmental economics , mechanical engineering , philosophy , operating system , developmental psychology , epistemology , quantum mechanics , programming language , physics , combinatorics , economics
Lecturers' active role as the spearhead of higher education has an essential role in improving higher education quality and sustainability. Therefore, assessing work behaviour is needed to measure how lecturers participate in achieving the vision and mission, quality improvement, and service guarantee to students and complementary documentation. This condition became the basis of research. They are implementing decision support systems with Simple Multi-Attribute Rating Technique Exploiting Ranges (SMARTER) and Graphic Rating Scale (GRS) to measure a lecturer's behaviour by using multiple criteria. With the SMARTER method and Behaviorally Anchor Rating Scale (BARS). By applying the impermeable BARS method, the work behaviour assessment process results in ease and accuracy that is more in line with the employees' behaviour being assessed. With the SMARTER approach, an assessment of employee work behaviour is produced, with 90% of alternatives used. The results are Good.