2019 International Conference on Information and Communications Technology (ICOIACT) · 2019 · 10 citations · 5 references
ComputingGeographyGeoinformaticsGeographic Information SystemsMobile ComputingTourismMobile Application DevelopmentMobile Geographic Information SystemsTourism AttractionsTourism PlanningCulinary TourismGeographic Information System DataMobile Geographic Information System ArchitectureMobile Mapping ApplicationsMobile Tourism ApplicationsSoftware Development MethodologyTourist Information SearchWaterfall Model
Indonesia is the largest archipelagic country in the world consisting of 17,499 islands from Sabang to Merauke. With the vastness of the area, Indonesia has so many and scattered tourist attractions. Indonesia is also a target of tourism by local and foreign tourists. Problems that occur are many tourist attractions that can not be known by tourists so that they experience a severe problem in getting information related to the culinary. One of the problems of information about its existence, which is spread in several locations and knowledge about the area that is not good, especially for tourists from outside the city. Of course, if this is ignored continuously will have a negative impact on culinary tourism, such as the lonely tourists who come to visit in the country of Indonesia. This study provides a solution that is seen from the existing problems; it is necessary to answer the need for fast and more efficient information about culinary attractions in Indonesia, namely by developing an Android-based GIS-based application that provides an easy search for information and culinary tourism locations. User required. Software development uses the waterfall method and tests on users with questionnaires to users. The results of this study, culinary tourism mobile applications that are based on the results of tests carried out obtain a percentage score of 81-100, which can be interpreted that this application is very feasible to use and apply to provide culinary information.
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Pathway Projector: Web-Based Zoomable Pathway Browser Using KEGG Atlas and Google Maps API
Nobuaki Kono, Kazuharu Arakawa, Ryu Ogawa et al. · PLoS ONE · 2009 · 90 citations · Full text