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Pengukuran Beban Kerja Mental Job Driver Dan Swamper Team Fuel Menggunakan NASA-TLX Muhammad Qurthuby
Jurnal Surya Teknika Vol 8 No 2 (2021): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v8i2.3283

Abstract

Giving excessive workloads causes work stress both physically and psychologically and emotional reactions. The excess workload experienced by drivers and swampers at PT XYZ results in reduced attention at work, decreased work motivation, and decreased skill levels, thus affecting drivers and swampers productivity and the chance of a work accident is very high. This study aims to measure the Mental Workload of Job Driver and Swampers Fuel Tank Using the NASA-TLX Method. The NASA-TLX score obtained 93.8, driver 2 get 83.7, driver 3 91.3, swamper 1 91, swamper 2 89.5, and swamper 3 94.7. Elements of mental workload that are very influential are Mental Demand with a percentage of 22%, Effort 20%, Physical Demand 18%, Own Performance 15%, Frustation Level 15% and Temporal Demand 12%.
Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster Glisina Dwinoor Rembulan; Tony Wijaya; Desribeth Palullungan; Kartika Nur Alfina; Muhammad Qurthuby
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v13i2.2280

Abstract

Coronavirus disease (COVID-19) is a disease that was only discovered in 2019 and has been reported to have spread to almost all over the world. This pandemic has caused anxiety and fear for all Indonesians because it can be transmitted easily through humans. This study aims to cluster each province in Indonesia into certain clusters so that they can find out the characteristics, movements, and government policies that must be carried out in each cluster. This study uses secondary data regarding COVID-19 cases in Indonesia, which reached 4800 data from March 1 to August 11, 2020, in 34 Indonesian provinces. The four variables used were the number of cases of death, the number of cured cases, the number of active cases, and the number of deaths per one million population. Cluster 1 has a high risk because it has the highest variable number of active cases and the number of deaths per one million population. Cluster 2 has a low risk because it has a variable with the highest number of cured cases and the lowest number of active cases. Cluster 3 has a moderate risk because it has the lowest number of cures variable and the moderate number of active cases. The government policy in cluster 1 should prioritize the variable number of active cases and the number of death cases per one million population, cluster 2 must prioritize the variable number of deaths, and cluster 3 must prioritize the variable number of active cases.
Evaluation of Office Ergonomic Risk Using Rapid Office Strain Assessment (ROSA) Ester Lisnati Jayadi; Panca Jodiawan; Achmad Zaki Yamani; Muhammad Qurthuby
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 1 (2020): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v13i1.2181

Abstract

Musculoskeletal Disorders (MSDs) caused by computer use have become the most common ergonomic risks. The risk experienced can be in the form of financial losses or even lives. Therefore, efforts are needed to prevent the occurrence of ergonomic risks so as not to cause large losses. The Rapid Office Strain Assessment (ROSA) has been designed to identify ergonomic risk factors and is reliable for the assessment of office workers' MSDs. This study evaluates the potential risk of ergonomics in female office workers because a previous study found that MSDs were more common in women. From the two workers observed, it was found that workers 1 and 2 received different scores on several assessment components. The different things are the length of the seat holder, armrests, spine brace, and keyboard. This difference is caused by body posture and different types of chairs. The length of the chair and the spinal brace is influenced by the different postures of the two workers. Worker 1 has a shorter upper leg length than worker 2, so she cannot use the backbone section of the chair. Although there are differences in scores on some components of the assessment, both workers have the same final ROSA score, which is 5. This indicates that further posture assessment needs to be done using tools other than ROSA to detect the specific cause of MSDs levels.