The present research aimed to test whether community involvement moderates the relationship between sense of coherence (SOC) and driver stress among online ridesharing drivers. The study used a quantitative design to collect data via questionnaires. All 112 participants were male and chose online ridesharing as their primary occupation. Participants were assessed using the Work Sense of Coherence Scale and Driver Stress Scale, a subscale of Driving Behavior Inventory. Community involvement was measured with a close-ended question in the demographic section of the questionnaire, with dichotomous options provided (1 = community participation; 0 = no community participation). Collected data were analyzed using JASP to examine the moderating effect. The results of this study showed that community involvement moderates the relationship between SOC and driver stress in online ridesharing drivers.

The driving stress scale is one of the tools for measuring stress on car drivers and so far, the Indonesian version has not been found. Adaptation of this measuring tool is needed considering that the construct has been more suitable for car drivers, while for motorbike riders, adaptation is needed, especially in Indonesia. The adaptation of measuring instruments using driving stress consists of 16 items and is a unidimensional measuring instrument. The adaptation process follows six stages (translate-synthesis-backward translate), both qualitative and quantitative. The results of the measurement tool translation were then given to eight online motorcycle taxi drivers and they were asked to read each item to check understanding in each item. Based on the qualitative process, some words were changed. The DS-Indonesia version was then returned to three online motorcycle taxi drivers to be re-tested for readability. These results were then tested (try out) to 28 online motorcycle taxi drivers to be analyzed quantitatively. Improvements were made again so that there were some item changes. The final result of this item was then collected data on 200 online motorcycle taxi drivers. Reliability testing and Confirmatory Factor Analysis with the R platform and Lavaan packages were used to check the suitability of each item with the DS-Indonesia unidimensional factor. It is known if the value of x2 : 57.114 p<0.001, CFI = 0.969; TLI = 0.906 . RMSEA =0.078 ; SRMR = 0.040 which indicates that the results of the DS-Indonesia adaptation data have a fairly good fitness value. The inter-item results are in the good range and the correlation with BFI-Indonesia shows that DS-Indonesia correlates with the neuroticism, consiousness, agreeableness and openness traits but not with extraversion.