Design of Intelligent Robot as a Tool for Teaching Media Based on Computer Interactive Learning and Computer Assisted Learning to Improve the Skill of Learner

摘要

The development of robotics in Indonesia has been very encouraging. The barometer is the success of the Indonesian Robot Contest (Kontes Robot Indonesia). In the contest no less than 40 major universities in Indonesia took part. The focus of research in the first year is a teaching module manufacturing, planning mechanical design, control system through microprocessor technology and maneuverability of the robot. Computer interactive computer and computer assisted learning strategies is a teaching strategy that emphasizes the use or the use of computers and learning aids (assisted learning) in teaching and learning activity, this research the development model used is the 4-D model. This model suggested by Thiagarajan, Semmel, and Semmel (1974). 4-D Model consists of four stages: Define Stage, Design Stage, Develop Stage, and Disseminate Stage. This research was conducted by applying the research design development with the aim to produce a tool of learning in the form of intelligent robot modules and kit based on Computer Interactive Learning and Computer Assisted Learning at the Department of Electrical Engineering to improve the skills of learners. From the data of the Indonesia Robot Contest during the period 2009-2015 can be seen that the modules that have been developed have reached the fourth stage of the research methods of development that disseminate methods. So that, the module is perfect, ready to be duplicated and distributed as learning devices subject of intelligent robot courses. Socialization questionnaires showed that levels of student majoring in electrical engineering competencies image currently only limited to conventional machines. The average assessment is 3.34 validator included in either category. Modules developed can give hope to the future are able to produce Intelligent Robot Tool for Teaching Based on Computer Interactive Learning and Computer Assisted Learning to improve the skills of learners that can be applied to the field. Results of student responses also showed a positive response to the module of robotics and computer-based interactive learning assisted learning developed. The average assessment is 3.34 validator included in either category.