3rd Annual Applied Science and Engineering Conference | |
Workload self-evaluation base on expert system for vocational teacher | |
工业技术;自然科学 | |
Pajung, K.K.M.^1 ; Soemarto^1 ; Setiawan, A.^1 | |
Faculty of Vocational and Technology Education, Universitas Pendidikan Indonesia, Bandung, Indonesia^1 | |
关键词: Artificial intelligence systems; Fuzzy logic method; Measurement methods; Optimal measurements; Physical demand; Self evaluation; Vocational schools; Workload measurements; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/434/1/012252/pdf DOI : 10.1088/1757-899X/434/1/012252 |
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来源: IOP | |
【 摘 要 】
This research aims to create a design related to workload of vocational school teachers in which the teachers can make evaluation on their implementation task burden in doing their teacher work as vocational school teachers. A workload will affect on work quality so that it is necessary for an appropriate and optimal measurement. This design uses NASA TLX analysis measurement method to measure workload on mental demand, physical demand, temporal demand, performance, effort and frustration level. Implementation of calculation on this workload uses software with artificial intelligence system technique namely Fuzzy logic method with Tsukamoto technique. Input of the data on this workload measurement is conducted by a teacher and its results can be seen about its workload.
【 预 览 】
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Workload self-evaluation base on expert system for vocational teacher | 326KB | download |