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Transportation makes it easier for people to carry out their daily activities. Transportation is really needed by the community, considering the density of people's activities which require moving from one place to another and also makes it easier for people to order the goods or food they want from a place that consumers want. Therefore, drivers with personality, emotional intelligence and good motivation are needed, where there is a decline in the performance of gofood drivers, one of which is the gofood driver in Bandar Lampung. This research aims to examine the influence of Personality, Emotional Intelligence, and Motivation on the Performance of Gofood Drivers in Bandar Lampung City from an Islamic Business Perspective. This research used a quantitative approach with a sample of 98 gofood drivers in Bandar Lampung. Sampling was carried out using an associative approach which connects one variable to another variable. The data analysis method uses SPSS (Statistical Program for Social Science) version 20 and then the data obtained is processed using SPSS 20 software. Data analysis in this research uses multiple linear regression analysis with Personality, Emotional Intelligence and Motivation as independent variables and performance as the dependent variable .Based on the research results, it shows that personality does not have a significant effect on the performance of Gofood drivers. Emotional Intelligence also has no significant effect on Gofood driver performance. Motivation has a positive and significant influence on Gofood driver performance. However, personality, emotional intelligence and motivation simultaneously have a significant effect on the performance of gofood drivers in Bandar Lampung City.

Groovy Space Coffee and Kitchen is a coffee shop located in the Bogor City area that serves several types of drinks such as coffee and tea and several foods, both snacks and heavy meals. This research aims to optimize the layout of the sitting room at Groovy Space Coffee and Kitchen using the Activity Relationship Chart (ARC) method based on the results of the Total Cleseness Rating (TCR) calculation. The ARC method is used to determine optimal seating space layout arrangements by considering the shape of the room and the available area. Meanwhile, the TCR method is used to overcome potential conflicts in the use of seating space, such as the density of visitors at certain times. The application of these two methods is expected to produce a seating space layout that is efficient, comfortable, and able to better accommodate the number of visitors. The results of this research show that the new layout is more effective and efficient compared to the previous layout with the results showing that the new layout includes additional seating in the outdoor area and also a change in concept from outdoor to semi-outdoor.