Abstract:
Elementary schools in Banjarmasin, South Kalimantan, Indonesia do not yet have open schools that can develop students' industrial 4.0 skills and multiple intelligences. According to survey and observation results, more than 75% of respondents stated that they had not developed industrial 4.0 skills and multiple intelligence in teaching tools and materials, did not know in detail and had never developed skills and multiple intelligences in the learning process. As a result, the provision of teaching materials that can develop the skills of the Industrial Revolution 4.0 as well as develop various student intelligences is a major problem in elementary schools in Banjarmasin. The purpose of this research is to produce innovative teaching materials for elementary school students that combine the development of revolution 4.0 skills and multiple intelligences and test the effectiveness of the developed teaching materials to improve revolution 4.0 skills and multiple intelligences. The research method used is research and development which consists of 10 steps. The trial sample was two schools in Banjarmasin, South Kalimantan, Indonesia using a quasi-experimental method with a non-equivalent control group type. The results of the study obtained scores from material experts / content experts for SD teaching materials 101, scores from media experts 138, multiple intelligences 30, skills 4.0 revolution scores 165, and local wisdom materials for the people of South Kalimantan 173. Thus, the results of the development are declared suitable for use. The results also showed that the experimental class obtained an average of 4.0 industrial evolution skills and multiple intelligence 79,112 (SD 10,339, Independent Sample Test: t = 2,123, df = 66) and the control class 61,023 (SD11,213, Independent Sample Test: t = 2.117, df = 48,772). There is a significant difference between the post-test results of the experimental class and the post-test scores of the control class. It can be said that the developed teaching materials are effective for improving industry 4.0 skills and multiple intelligences.