Proceedings of the 2nd Vocational Education International Conference, VEIC 2020, 27th August 2020, Semarang, Indonesia

Research Article

Hots based learning strategy on Modern Sanggul courses

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2305802,
        author={Trisnani Widowati},
        title={Hots based learning strategy on Modern Sanggul courses},
        proceedings={Proceedings of the 2nd Vocational Education International Conference, VEIC 2020, 27th August 2020, Semarang, Indonesia},
        publisher={EAI},
        proceedings_a={VEIC},
        year={2021},
        month={7},
        keywords={hots learning strategy modern bun setup},
        doi={10.4108/eai.27-8-2020.2305802}
    }
    
  • Trisnani Widowati
    Year: 2021
    Hots based learning strategy on Modern Sanggul courses
    VEIC
    EAI
    DOI: 10.4108/eai.27-8-2020.2305802
Trisnani Widowati1,*
  • 1: Home Economic, Universitas Negeri Semarang
*Contact email: niwid272@gmail.com

Abstract

Modern bun is a course that teaches different kinds of bun arrangement for various occasions. The study aims to describe the implementation of hots-based learning strategies on modern bun courses on the cognitive, affective and psychomotor aspects of the School of Beauty studies Program. This study was conducted at PKK Department of Beauty Education study Program, Faculty of Engineering UNNES. The population in this study is a 4th semester beauty student with a total sampling of 24 students. Data collection instruments consist of poll, assessment and problem sheet. Data analysis is done by using descriptive percentages. The results show that students have a category of learning outcomes: 1) Cognitive aspects to pretests the category is 83.3%, low category 16.5%, for posttest category is 67.5%, low category 32.5%, 2) affective aspect, the results of the category pretests is 62.5%, low category 37.5%, for posttest categories are 41.67%, low category 58.33% and 3) Psychomotor aspects, high category pretests results 29.17%, category medium 54.17%, low category 16.67% and Results posttest High category 20.83%, category medium 37.5%, low category 41.67%. The overall results of this decline are due to the need to continuously implement the Hots learning strategy so that students can perform analyses that can bring out the creativity of creation.