Simulation of the weighted product method integrated with the CSE-UCLA evaluation model.

The purpose of this paper was to show a calculation simulation of the Weighted Product method integrated with the CSE-UCLA evaluation model in determining the best recommendations for decision support. There are four evaluation components of the CSE-UCLA model that are used as standards for evaluation, including system assessment, program planning, program implementation, program improvement, and program certification. In addition, there are 10 evaluation aspects are used as alternative recommendations. The process of determining the best recommendation was carried out by simulating the calculation of the Weighted Product method, which consists of five stages, including preliminary data preparation, weights normalization, Vector-S calculation, Vector-V calculation, and determination of recommendations based on ranking results. The simulation results of the Weighted Product method resulted in three aspects of the CSE- UCLA evaluation model which became the best recommendations with a preference value was 0.1008. Those aspects included: aspect-1, aspect-7, and aspect-10. This paper has a positive impact on developing the insight of evaluators and education observers about innovation. This innovation demonstrates the use of the Weighted Product method in the field of computer science that can be used in determining the evaluation aspects of the CSE-UCLA model which are the best recommendations for decision support. [ABSTRACT FROM AUTHOR]