Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods


  • Akmaludin STMIK Nusa Mandiri Jakarta
  • Erene Gernaria Sihombing Universitas Nusa Mandiri, Jakarta, Indonesia
  • Rinawati Universitas Nusa Mandiri, Jakarta, Indonesia
  • Linda Sari Dewi Universitas Nusa Mandiri, Jakarta, Indonesia
  • Ester Arisawati Universitas Nusa Mandiri, Jakarta, Indonesia




Appointment teachers candidate, MCDM-AHP, WASPAS, Multi-criteria, optimization.


The teacher's role is very important in improving the national learning system. Many honorary teachers are empowered in curriculum development in a number of schools who want to collaborate in improving the quality of their students. The purpose of this research is to provide rewards to honorary teachers who have long served for the progress of the nation in the world of education to be appointed as permanent teachers. The selection method was carried out through a criteria weighting technique with the MCDM-AHP method which was integrated with the WASPAS method. The technique of developing the MCDM-AHP method as an eigenvector measurement concept with proof of optimization through mathematical algebra matrices that is correlated with the Expert Choice application to get optimal values. The result optimization value is integrated with the WASPAS method as a determinant of the ranking system for permanent teacher candidates. This method is a unification of the concepts of the weight product model and weight sum model methods, so that it has special stages to support decision making with the WASPAS method. The results of selecting twelve honorary teachers for appointment as permanent teachers can be seen from the acquisition of the Qi optimization value as a ranking. The results of support for decision making for permanent teacher appointments with the highest optimization value were given to TC04 with a weight of 0.878; followed by a significant difference in the next rank. The findings of this study provide evidence that the integration of the MCDM-AHP and WASPAS methods provides continuous optimization results for decision-making support.

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How to Cite

Akmaludin, A., Sihombing, E. G. ., Rinawati, R., Dewi, L. S. ., & Arisawati, E. . (2024). Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(2), 661-670.