MODEL PEMBELAJARAN MRSA DAN PENGARUHNYA TERHADAP KINERJA PENALARAN MERs DAN KETERAMPILAN PEMODELAN SISTEM KOMPLEKS MAHASISWA

Structure adaptation is caused by the interaction of plants with the environment, so it requires system thinking in understanding it. This study was conducted to examine the instructional impact of the Multiple Representations Supported Argumentation (MRSA) learning model which involves students doing reasoning using multi representations to facilitate complex system modeling skills. The study was conducted with an iterative design that involves collecting data with MERs reasoning instruments and modeling complex systems. The research involved 1 model lecturer and 3 partner lecturers and 135 students who took part in the structure of plant development. The results of data analysis show the number of students who think complexly with MERs reasoning has increased by 48%, while the number of students who are able to model complex systems with good criteria has increased by 23%. Correlation test results between MERs reasoning performance with complex system modeling in general showed a positive relationship between 0.07 to 0.61. These evidences indicate that instructional learning has an effect on the progress of MERs reasoning performance as well as having an impact on the progress in achieving the ability of modeling complex systems, thus indicating instructional reasoning with MERs is effective for training systems thinking through modeling complex systems.

CoSMSOL: Complex system modeling, simulation and optimization language

Complex System Modeling, Simulation and Optimization Language (CoSMSOL) is problem-oriented and designed to run on multi-core computers. This paper provides the system environment of CoSMSOL and proposes the modeling methods of complex system, language text specification, function library, algorithm library, parallel simulation algorithms and intelligent optimization algorithms which support continuous system, discrete system and agent systems. Also, we developed a simulation language compiler of CoSMSOL, which is employed in two case studies generating a multi-entity war gaming system and an aerodynamic spacecraft model. The two cases illustrate main functions and implementation processes of CoSMSOL. The results validate that CoSMSOL is useful to model agent-based system and aerospace system.