The Effect of Balinese Traditional Song Learning Software with Artificial Intelligence Based on Total Ergonomic Approach to Reduce Cognitive Load and Fatigue Load For BalineseStudents

Abstract Bali is an area that is famous for its artistic and cultural wisdom. Tembang is a term used for traditional Balinese songs, tembangis a sound art that is built from various tunings and tones as its material. In Bali thereare various types of songs that have different structures and functions, one of the most famous types is the sekar alit song. Efforts to preserve Balinese culture, especially Balinese songs, have been carried out by the government, but over time the interest of the younger generation has decreased. Seeing the progress of existing technology, conservation efforts should follow the development of existing technology. In this study, the learning software for sekar alit song was built using an artificial intelligence (SekARAI) based on a total ergonomics approach (TEA). This study uses a True experimental design in the form of a pretest-posttest control group design, with respondents from Balinese Literature students. In this study, the implementation of SekARAI learning software based on a total ergonomics approach can improve the quality of health and learning seen from a decrease in student fatigue by 14.67%, a decrease in cognitive load in terms of an increase in student speed by 8.33%, an increase in student accuracy by 30.05 % and an increase in student constancy of 16.91%. The results of this study also show that higher AI support leads to lower user cognitive workload. Thus, the results of this study can contribute to the current methodological problem ofobjective measurement of the user's cognitive workload when running systems with AI algorithms. Keywords:Cognitive Load,SekARAI,Sekar Alit, Total Ergonomics Approach