Although tourist loyalty has been reported to be crucial in Halal tourism, there are few studies examining Halal tourist loyalty. This study assesses how tourist loyalty is determined by Halal experience, experience quality, perceived value, and satisfaction. For this purpose, a survey was drawn from literature, designed to examine the hypotheses proposed, and conducted in Bandung, Indonesia where a total of 522 responses were gathered from Muslim tourists. Through an exploratory factor analysis, this research reveals that tourist Halal experience dimensions consist of Halal accommodation, Halal facilities and service, and people in the destination. The partial least squares modelling reveals that Halal experience, perceived experience quality, perceived value, and satisfaction are important drivers of Halal tourist loyalty. Further, the results of this research disclose that amongst the dimensions of Halal experience, the people in the destination dimension has the biggest impact on tourist experience with the visit, perceived value, satisfaction, and loyalty. These findings offer unique insights both for theoretical development as well as for tourist operators, especially those involved with Halal tourism.

This research implements GIS in transportation, specifically road maintenance. The system is built by utilizing 2D/3D models from aerial photographs using UAV as a base map. Attribute data such as the type and dimensions of road damage can be obtained by interpreting high-resolution 2D/3D models, which display each road damage, making it easier to measure the dimensions of road damage. The assessment of road conditions is done using the PCI method, which indicates that 51% of the roads fall under the category of people with low incomes to severely damaged category. These roads are prioritized on a map based on their area and cost of maintenance. The projection calculation of the amount of damage is analyzed with one do-nothing scenario, where the roads have not been maintained for ten years. The progression of the damage is observed each year, and the reactive maintenance cost is calculated from 2023 to 2032. The cost and duration are analyzed using three do-something scenarios: optimistic, moderate, and pessimistic. The research results show that the moderate scenario has the lowest cost among the other scenarios and is the most effective scenario, as it produces road conditions with an International Roughness Index (IRI) value of less than 6. This research can assist the government in making informed decisions regarding road maintenance.

I Gusti Ngurah Rai International Airport in overload condition because it’s runways PCN is 83 F/C/X/T and the most critical aircraft, the Boeing B777-300ER type I Gusti Ngurah Rai International Airport in overload condition because it’s runways PCN is 83 F/C/X/T and the most critical aircraft, the Boeing B777-300ER type

Unmanned Aerial Vehicles (UAVs), referred to as drones, can offer many conveniences for carrying out surveillance activities and surveying road conditions by mi

Pavement condition evaluation aims to determine the condition of the pavement, especially in terms of pavement distress. The evaluation carried out manually req Pavement condition evaluation aims to determine the condition of the pavement, especially in terms of pavement distress. The evaluation carried out manually req

The high intensity of rainfall in Indonesia has a potential to cause catastrophic flooding in Cimahi City which is geographically located in the valley of basin and causes the overflow of water to the Cimahi City. There are nine flood points in Cimahi City and eight of them are located near Cilember River. This research creates a 2-dimensional map of flood-prone location impacted by Cilember Riveroverflow. The map is integrated by constructing a Geographic Information System (GIS) not only at flood point location, but also at point of the existing survey, point of the river crossing measurement, and river crossing point location at each STA with the information of location coordinates, flood depth, flood solutions, and images. Data processing begin with hydrological analysis that will be used for hydraulic analysis using HEC-RAS software and flood-prone map using ArcGIS software. The map is processed and become GIS that built in ArcGIS software. This research product is a flood-prone map impacted by Cilember River overflow in period of 2, 5, 10, 25, 50, and 100 years based on the GIS. The difference of flood distribution generated in each return period does not appear significantly, but it can be seen at the height of flood in every return period. The benefit of this research is to provide information on the vulnerability of flood area to Cimah iCity Government to solve flood problem that occur almost every year in Cimahi City.