Ramadhan, Ilham Akbar and , Mila Faila Sufa, S.T., M.T. (2023) Identifikasi Beban Kerja Mental dan Fisik serta Tingkat Human Error Karyawan dengan Metode NASA-TLX, CVL, dan SHERPA (Studi Kasus : Operator Barcode Scanning J&T Express DP (Drop Point) Sumber, Banjarsari). Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
This study aims to identify the mental and physical workload as well as the level of human error of employees using the NASA-TLX, CVL, AND SHERPA methods for the J&T Express DP (Drop Point) Barcode Scanning Operator Sumber, Banjarsari. Respondents in this study were J&T Express DP Sumber employees who served in the warehouse area with a total of 12 people. The types of data used in this research are primary data and secondary data. Data collection in this study was carried out in several ways, including the NASA-TLX questionnaire, pulse measurement and interviews. The results of this study found that 11 employees had a high level of mental burden, while 1 other person had a very high level of mental burden. The highest average NASA-TLX score obtained was 82%, while the highest NASA-TLX average value obtained was 61%. Based on the results of identifying the level of physical workload using CVL, it is known that there are 2 employees who have an average CVL value of >30%. This shows that there are 2 employees who are experiencing fatigue so it needs to be considered. Based on the results of the Systematic Human Error Reduction and Prediction (SHERPA) analysis, it is known that there were 9 errors that occurred from the 3 tasks or activities carried out. The types of errors made include Action Error (EA) errors with codes A1 (Operation too long/short) and A7 (Incorrect operation on the correct object), error checking error (CE) with codes C1 (Check omitted) and C2. (Incomplete check). The proposed improvements include the use of backup scanning tools, a pair work system, work rotation and supervision.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Mental Workload, Physical Load, Human Error. |
| Subjects: | T Technology > TI Industrial Engineering |
| Divisions: | Fakultas Teknik > Teknik Industri |
| Depositing User: | ILHAM AKBAR RAMADHAN |
| Date Deposited: | 17 Jul 2023 03:54 |
| Last Modified: | 17 Jul 2023 03:54 |
| URI: | http://eprints.ums.ac.id/id/eprint/113677 |
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