Application of the Weighted Product Method to the Decision Support System for Selection of the Best Teacher Performance

Authors

  • Hidayatullah Universitas Putra Indonesia YPTK Padang
  • Surmayanti Universitas Putra Indonesia YPTK Padang
  • Syafrika Deni Rizki Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jcsitech.v9i3.79

Keywords:

Decision Support System , Weighted Product (WP), Accuracy, Rating, Teacher

Abstract

Teachers are professional educators with the main task of educating, guiding, teaching, directing, assessing, training and evaluating students in early childhood education through formal basic education and secondary education. Teacher performance evaluation is an assessment of each item of the teacher's main task activities in the context of career development, rank and position. Assessment of performance achievements is based on several criteria that will be calculated. There are various ways or steps that can be taken to carry out the calculation process when the assessment takes place, one of which is to design an information system that can present information on the results of teacher reward recipient recommendations that are fast and precise and has high precision and accuracy values, this system is Decision Support System (SPK) or Decision Support System (DSS). Therefore a Decision Support System (SPK) with the Weighted Product (WP) method is needed which will determine the best choice and according to predetermined criteria from SD Negeri 10 Batang Anai. The Product Weighted method is a settlement method using multiplication to connect attribute ratings, where the rating must be raised to the first power of the attribute weight in question. So that the process is faster and data management in the form of process results reports can be managed and stored safely and easily. The result obtained which has the highest value is alternative A04 on behalf of Tri Murni, S.Pd with a value of 0.252

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Published

2023-07-31

How to Cite

Hidayatullah, Surmayanti, & Rizki, S. D. (2023). Application of the Weighted Product Method to the Decision Support System for Selection of the Best Teacher Performance. Journal of Computer Scine and Information Technology, 9(3), 149–153. https://doi.org/10.35134/jcsitech.v9i3.79