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Multiculturalism in Indonesia is an intriguing characteristic since it touches on so many different sectors of life. Teachers, particularly those in Early Childhood Education (PAUD), must comprehend multiculturalism and religious tolerance. This study aims to analyze the level of multicultural understanding and religious moderation of PAUD teachers in Bengkulu Province. The population taken in this study are all PAUD teachers in Bengkulu Province. The sampling technique used is probability sampling with the number of data samples, namely 84 people from 3 districts, namely Rejang Lebong Regency, Lebong Regency, and Seluma Regency. All of them are located in Bengkulu province. This research was conducted in October 2021. The data collection technique used a non-test technique in the form of filling out a questionnaire. The results of this study indicate that PAUD teachers in Bengkulu Province already have an understanding of multiculturalism and religious moderation. These PAUD teachers' awareness of diversity makes it simpler for pupils to think more, have other points of view, and comprehend reality in different ways.

In this study, the solution of the non-linear influenza disease system (NIDS) is presented using the Morlet wavelet neural networks (MWNNs) together with the optimisation procedures of the hybrid process of global/local search approaches. The genetic algorithm (GA) and sequential quadratic programming (SQP), that is, GA-SQP, are executed as the global and local search techniques. The mathematical form of the NIDS depends upon four groups: susceptible S(y), infected I(y), recovered R(y) and cross-immune individuals C(y). To solve the NIDS, an error function is designed using NIDS and its leading initial conditions (ICs). This error function is optimised with a combination of MWNNs and GA-SQP to solve for all the groups of NIDS. The comparison of the obtained solutions and Runge–Kutta results is presented to authenticate the correctness of the designed MWNNs along with the GA-SQP for solving NIDS. Moreover, the statistical operators using different measures are presented to check the reliability and constancy of the MWNNs along with the GA-SQP to solve the NIDS.