TELKOMNIKA Telecommunication Computing Electronics and Control
SOM-SIS approach to auto summary of clustering results on university academic performance

TELKOMNIKA Telecommunication Computing Electronics and Control
SOM-SIS approach to auto summary of clustering results on university academic performance

Academic performance
Quality assurance system
Self organizing map
TOPSIS

The analysis of the performance of higher education academic quality in
terms of student achievement, study period, and drop out rates is still an
intensive study among researchers. Several clustering methods are often
used to understand student and graduate groups, in influencing college
performance. However, the conventional method has only arrived at the
results of clustering, so it is difficult to interpret it as a support for academic
decisions, especially in mapping the position of universities against other
universities nationally. This article introduces a combination of techniques
from self organizing map and technique for oorder preference by similarity
to an ideal solution (SOM-SIS), an auto-summarizing technique from
clustering results as well as mapping university academic performance. First,
the academic performance indicators are grouped using the self organizing
map (SOM) method and the results are concluded using the technique for
order preference by similarity to an ideal solution (TOPSIS) approach.
The SOM-SIS technique was tested using data from one of the universities in
Indonesia. As a result, the SOM-SIS technique has a 100% compatibility rate
with the higher education quality assurance system, through recommendations
from three university experts.

Rahayu Widayanti, Sarifuddin Madenda, Eri Prasetyo Wibowo, Khoerul Anwar

http://telkomnika.uad.ac.id

Nov 12, 2022

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