Open AccessMental Analysis Workload on Solar Street Lighting Workers
Author(s) -
Atyanti Dyah Prabaswari,
Bagus Wahyu Utomo,
Dina Tauhida
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1430/1/012041
Subject(s) - workload , work (physics) , task (project management) , scope (computer science) , measure (data warehouse) , computer science , psychology , transport engineering , applied psychology , operations management , operations research , statistics , engineering , mathematics , operating system , data mining , mechanical engineering , systems engineering , programming language
The workload for each scope of work has different responsibilities. The workers will face working hours, loads, remember many patterns, and frustration when doing a special task. Solar street lighting (PJU TS) installation project is affected by various risks. NASA TLX as a tool to measure the workloads. The analysis not only using NASA TLX but also using statistical testing. The Mental Demand (MD) has score 325 (the highest score) due to considerable mental activity. The Performance (P) has a score close to zero that categorized quite well. Regression and correlation analysis between mental demand and duration of work show the direction of positive relationships. More experienced makes more MD scores. That is because every PJU installation project has different criteria. The solution is bookkeeping and mind mapping regarding the type of PJU TS. Each PJU TS has the book as a guide in the field.