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This study aims to find out the influence of the university's role on the implementation of eco-innovation in the creative industry in the natural stone handicraft sector. The object of this research is the creative industry center of the marble and natural stone handicraft sub-sector in TulungagungCity, Indonesia. From the existing craftsmen population, 81 craftsmen as respondents were taken as samples. The research data was obtained by distributing questionnaires, then the data were tested, processed and analyzed using Partial Least Square Consistent - Structural Equation Modeling (PLS-SEM). The results of this study states that the role of the university in the implementation of eco-innovation in the industry center of natural stone handicraft in Tulungagung can significantly improve eco-organizational innovation, eco-process innovation and eco-marketing innovation, but not significant in improving eco-product innovation. To further improve the implementation of eco-product innovation, what needs to be improved is the role of the university in assisting to increase eco-marketing, because of its significant influence on eco-product innovation. The results of this study will later be developed to explain the concept of triple helix, namely the role of University, Industry and Government in the implementation of eco-innovation and the improvement of the performance of creative industrial centers of natural stone crafts in Tulungagung Indonesia.

Parameter estimation is a vital part in constructing the best model of a dynamic system. This paper analyzed the performance of toothbrush rig parameter estimation using different model orders. Parameter estimation process of the system is performed through system identification. The approximate mathematical model that resemble the real system is obtained when the output is measured after loading the input signal. The application of real-coded genetic algorithm (RCGA) is proposed as optimization method in estimating the parameters of dynamic system. The best model is obtained by optimizing the objective function of mean squared errors. The performance is analyzed to get the approximate model of the real system using three different model orders with 10 times analysis for each model. A few criteria have been considered which are the optimization result of objective function, time execution and validation process. Real- coded genetic algorithm indicates that parameter estimation with model order 3 is chosen as the best model or the dynamic system as it has the highest performance compared to others.

Parameter estimation is a vital part in constructing the best model of a dynamic system. This paper analyzed the performance of toothbrush rig parameter estimation using different model orders. Parameter estimation process of the system is performed through system identification. The approximate mathematical model that resemble the real system is obtained when the output is measured after loading the input signal. The application of real-coded genetic algorithm (RCGA) is proposed as optimization method in estimating the parameters of dynamic system. The best model is obtained by optimizing the objective function of mean squared errors. The performance is analyzed to get the approximate model of the real system using three different model orders with 10 times analysis for each model. A few criteria have been considered which are the optimization result of objective function, time execution and validation process. Real- coded genetic algorithm indicates that parameter estimation with model order 3 is chosen as the best model or the dynamic system as it has the highest performance compared to others.

This study aims to find out the influence of the university's role on the implementation of eco-innovation in the creative industry in the natural stone handicraft sector. The object of this research is the creative industry center of the marble and natural stone handicraft sub-sector in TulungagungCity, Indonesia. From the existing craftsmen population, 81 craftsmen as respondents were taken as samples. The research data was obtained by distributing questionnaires, then the data were tested, processed and analyzed using Partial Least Square Consistent - Structural Equation Modeling (PLS-SEM). The results of this study states that the role of the university in the implementation of eco-innovation in the industry center of natural stone handicraft in Tulungagung can significantly improve eco-organizational innovation, eco-process innovation and eco-marketing innovation, but not significant in improving eco-product innovation. To further improve the implementation of eco-product innovation, what needs to be improved is the role of the university in assisting to increase eco-marketing, because of its significant influence on eco-product innovation. The results of this study will later be developed to explain the concept of triple helix, namely the role of University, Industry and Government in the implementation of eco-innovation and the improvement of the performance of creative industrial centers of natural stone crafts in Tulungagung Indonesia.