Open AccessAnalysis of workload and long rest periods on mobile rice grain milling operator at Sidolelono Pleret Community Bantul
Author(s) -
Yensi Anggraini,
Guntarti Tatik Mulyati,
Makhmudun Ainuri
Publication year - 2019
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 - 10.1088/1742-6596/1367/1/012082
Subject(s) - workload , operator (biology) , rest (music) , noise (video) , simulation , computer science , medicine , artificial intelligence , operating system , biochemistry , chemistry , repressor , transcription factor , image (mathematics) , gene
Noise and vibration are the hallmarks of mobile rice grain milling. The difference in working time between operators, the number of grains milled in one day, and looking for customers activity can be a factors that affect the operator’s workload. This study aims to determine the workload experienced, identify the factors that affects the workload, and determine the long rest periods required by the mobile rice grain milling operator. The workload experienced by operators measured by the cardiovascular load (CVL), the level of caloric needs, and NASA-TLX questionnaire. Factors considered in determining operator workload are age, body mass index (BMI), body temperature, noise, ambient temperature, humidity, and vibration. The long rest periods are calculated based on the operator’s heart rate converted into energy consumption. Based on CVL, operators experience no fatigue while from the level of caloric needs and mental workload, operators experience a moderate workload. The partial t-test for one operator group indicates that there is an effect of BMI and ambient temperature on the level of caloric needs. The regression test for two operators group showed that body temperature had an effect of 63,9% on CVL. The long rest periods applied by the operator is sufficient.