Learning Application Soft Skill for Facial with Computer Assisted Instruction Model

Authors

  • Tonni Limbong  Computer Science Faculty, Chatolic University of Saint Thomas North Sumatera, Medan, Indonesia
  • Efendi Napitupulu  Postgraduate State University of Medan, State University of Medan, North Sumatera, Indonesia
  • Sriadhi  Faculty of engineering, University of Medan, State University of Medan, North Sumatera, Indonesia
  • Pandi Barita Nauli Simangunsong  Informatics Management Departement of AMIK STIEKOM North of Sumatera, Medan, Indonesia

Keywords:

Makeup, Learning, Softskill, Computer Assisted Instruction (CAI)

Abstract

This development research is to develop a soft skill learning application as an out of school learning media in nonformal education for women salon especially face makeup. The development model used is referring to the ADDIE development model that is analysis, design, development, implementation and evaluation. The development result is a computer-based learning application that contains learning materialals, exercises, simulations and games and evaluation.if someone make up the face without knowing the proper makeup techniques, it will be difficult for salon workers to apply makeup to their customers properly, consequently the makeup will not look maximal,Therefore it takes a facial makeup learning that can help the community in arranging the right makeup based on the forms of the face. Application of facial makeup learning is made by using Computer Assisted Instruction (CAI) model. Where the application of this learning will give result in the level of understanding of learners will make the properly to facial makeup.

References

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Tonni Limbong, Efendi Napitupulu, Sriadhi, Pandi Barita Nauli Simangunsong, " Learning Application Soft Skill for Facial with Computer Assisted Instruction Model, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.561-570, January-February-2018.