Vol.9, No.2, May 2020.                                                                                                                                                                                     ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Evaluating and Analyzing of Robotic Arm as Learning Media Based on Partial Least Square Method


I Gusti Putu Asto Buditjahjanto, Pramudya Ardi, Munoto Munoto, Muchlas Samani


© 2020 I.G.P. Asto Buditjahjanto, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 9, Issue 2, Pages 672-679, ISSN 2217-8309, DOI: 10.18421/TEM92-33, May 2020.


Received: 10 March 2020.

Revised:   16 April 2020.
Accepted: 24 April 2020.
Published: 27 May 2020.




This research describes the use of a robotic arm on robot transporter as a learning media. Robot Transporter is a type of robot that can move and is equipped with a robotic arm. This robot is used to learn about the robotic arm concept which consists of the concept of arm and grip on the robot and the servo motor concept. The robotic arm concept is part of the electromechanical course at a private university in Indonesia. The purpose of this research is to analyse the relationship of the latent variables of assembling, operating and evaluating with the latent variable of psychomotor skill on the arm robotic concept. The Partial Least Square path analysis method is used to analyse and predict theoretical models of robotic arm concepts. The research results show that the latent variables of assembling, operating and evaluating have a positive influence on the psychomotor skill aspect. 


Keywords –robotic arm, path analysis, Partial Least Square, Structural Equation Model, psychomotor aspect.



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