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Introduction: Pilots have job characteristics that are at risk of causing fatigue. Since fatigue is not a disease, it is important to manage the risk factors. We developed a self-assessment application to manage the fatigue risk for pilots, including physical activity and sleeping difficulties. This application aims to increase pilots’ awareness as one of the health maintenance measures.Methods: The application was developed in collaboration with Garuda Indonesia Training Centre (GITC) to ensure suitable educational content for pilots. The users were asked to fill in data inquiring about their flight characteristics, the Checklist Individual Strength-20 for fatigue screening, General Physical Activity Questionnaire for physical activity, and Jenkins Sleep Scale for sleep difficulties. Afterward, a recommendation will be given based on the received input.Results: The application was able to screen fatigue risks, physical activities, and sleeping difficulties, and provide recommendations based on the questionnaire that was filled in, all adjusted to the user’s work characteristics. The finalized version was then available for download as an Android-based application for the pilots in GITC.Conclusion: The FRAMES is an Android-based self-assessment application for pilots. With the use of this application, hopefully, fatigue can be detected early in pilots, hence counteract measures may be implemented sooner to mitigate fatigue.

Objective: Psychological wellbeing of the pilot can affect the flight cognitive function of the pilot, thus endangering the safety of the flight. The level of wellbeing of the pilots is related to the safety climate of the pilot. The purpose of this study is to determine the relationship between the safety climate and psychological wellbeing of civilian pilot in Indonesia. Methods: This was an analytic study using cross-sectional method. The sample was determined by consecutive sampling technique. Data were collected by filling out questionnaires by subjects regarding the variables of the safety climate and psychological wellbeing. The data analysis used was multiple linear regression. Results: The safety climate has a significant effect on psychological wellbeing (ß=0.921). The dimensions of the safety climate which have a significant effect are management (ß=0.135), safety systems (ß=0.143), procedures (ß=0.176), training (ß=0.153), communication (ß=0.232), and operations personnel (ß=0.185). Conclusion: Management, safety systems, procedures, training, communication, and operations personnel have significant effects on psychological wellbeing of civilian pilot in Indonesia.

Background: The Swedish Occupational Fatigue Inventory (SOFI) is an instrument to assess a person’s fatigue, which is not limited to workers of a company, but can also be used for the general public. SOFI can determine fatigue from physical, cognitive and psychosocial conditions.1 This study aims to translate the instrument so that it can be used in Indonesia, then assess its validity and reliability.Methods: This study was conducted using a 10-step transcultural adaptation method from ISPOR followed by item validity and reliability tests on 224 workers at a geothermal company in Indonesia. Item-total correlation and Confirmatory Factor Analysis was performed using online version 0.14.3 of JASP statistic program. And for reliability test using SPSS tool.Results: Swedish Occupational Fatigue Inventory (SOFI) has been adapted into an Indonesian version through the ISPOR transcultural adaptation method. All items in the Indonesian version of SOFI which amounted to 20 items proved the validity and reliability of this questionnaire was very good (α-Cronbach 0.969) and the Confirmatory Factor Analysis test showed: Factor model (224, p < 0,001) = 337.649, CFI = 0,958, NFI = 0,924, RFI = 0,909, IFI = 0,958, TLI = 0,950, dan RMSEA = 0,070, 90% CI: 0,060 – 0,081. Fit indices results had acceptable model fits corresponding to the structure of the original instrument. Item-rest correlation range from 0.321 to 0.847, these results reveal that each item-rest correlation is extremely strong.Conclusion: The Indonesian version of SOFI is proven to have good validity and reliability as an instrument for assessing fatigue/work fatigue for workers in Indonesia.