Decision Support System on Adaptive Examination System
Author(s) -
Rukli Rukli
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.26499/iceap.v2i1.97
Subject(s) - computer science , ranking (information retrieval) , decision support system , java , weighting , feature (linguistics) , graduation (instrument) , test (biology) , domain (mathematical analysis) , machine learning , computerized adaptive testing , adaptive system , data mining , artificial intelligence , statistics , programming language , mathematics , medicine , paleontology , mathematical analysis , linguistics , philosophy , geometry , biology , radiology , psychometrics
This study aims to create an adaptive testing system based on user preferences where user references can be adapted to the test system. An adaptive examination system is added to the decision support system feature where a minimum domain and quota are received from the highest score order of the test results. Research uses data from the domains of mathematics, indonesian, and english. Response data processing using the Bilog_MG program the choice of a single parameter logistics model. Making applications using java programs. The results of the study produced the UniversiCAT application where the results of the CAT output test were processed into information for the user on the decision support system feature. Dynamic weighting of subject domains to produce a temporary ranking between all test examinees. The determination of graduation is determined by the rules of acceptance, namely the quota limit and the minimum score set by the school.
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