ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY

Indonesia is one of the countries that has enormous tourism potential where this sector has contributed a total of 229.5 trillion for the country's foreign exchange. However, in the current state of the COVID-19 pandemic, many businesses in the tourism sector have to stop temporarily and result in economic pressure which directly impacts the acceleration of the economic recession in Indonesia. One of the solutions to reduce the impact of economic pressure while reducing the risk of COVID-19 transmission in the tourism sector is the application of health protocols that are directly applied in tourist attractions. To do this a variety of careful preparations are needed. In this case, geospatial information technology can help the community, government, and tourism business managers in implementing health protocols in tourist attractions. Seeing the urgency of implementing health protocols in the tourism sector, we developed the ULIN-D product as a WebGIS platform that is able to visualize, plan, and evaluate the condition of health protocol facilities in various tourist locations. Some of ULIN-D's strategic functions are its ability to provide recommended visitor capacity, display the number of visitors in real-time, and display the number of hand-washing places at tourist attractions based on the profile characteristics of each tourist location. The method used in this research is the combination of various kinds of spatial data and non-spatial data in a dynamic and integrated platform. Tourism location profile information is analyzed in detail to obtain accurate scenario results in establishing a standard health protocol. ULIN-D is expected to be a solution and a reference for how geospatial technology can help improve the quality of policies in the tourism sector for the continuation of the new habits adaption.

DECISION SUPPORT SYSTEM FOR DETERMINING APPROPRIATE FRANCHISE LOCATIONS USING THE PROFILE MATCHING METHOD

Finding the appropriate location is crucial when starting a franchise. The appropriate location will affect the overall business risk and profitability of the franchise. Nevertheless, some franchises have a bankruptcy in running their business. One of the factors that contribute to the bankruptcy of a franchise business is a location that does not meet several criteria that support business success. Therefore, the purpose of this study is to propose a decision support system model to determine the location of the franchise based on matching profiles between the actual data value of a location and the value of the location profile expected by the franchisor. The profile matching method has a better level of objectivity because it measures the value of each indicator variable. The criteria for determining the location of a franchise are potential customers, access to location, competition, and costs. The test results show that the decision support system to determine the location of the franchise using the profile matching method meets the functional requirements. This decision support system helps Franchisees to determine the appropriate when starting a franchise

A Strategy of Cluster-Based Distributed Location Service

A new strategy of cluster-based distributed location service was proposed to solve communication bottlenecks and vulnerability in centralized system structure location service. In the proposed strategy, the density-first clustering method was used to establish location information profiles for users, and neighboring user groups satisfied the (k, d) anonymous model. When there is a location service request, a number of neighbor user groups that meet the density metric condition were determined firstly, then the location profile similarity of a service requester and the neighbor user was calculated, and finally the collaborative filtering recommendation method was used to recommend the corresponding location service. The experimental results on the location dataset show that the proposed strategy can provide users with a sufficient number of location services and the (k, d) privacy security definition can guarantee the privacy of user location information.

The Location Types of US Retailers

This manuscript presents the results of an inductive analysis of the types of locations chosen by US retailers. Using a large cross-sectional database, including fifty US retail chains and over 70,000 store locations, a classification of retail location types is presented using cluster analysis on situational and trade area data. These data are then applied to create a location profile for each retailer. Based on the results of the first cluster analysis, a second cluster analysis then groups together the chains with the most similar location profiles. A total of twelve distinct location types were identified in the first cluster analysis. Eight groupings of retailers with similar location profiles were identified in the second cluster analysis. Retailers within the same retail business chose similar types of locations and thus were placed in the same clusters. Retailers generally restrict their deployment to one of three overall strategies including metropolitan, large retail areas, or market size variety with specialty retailers favoring large retail areas of urban markets.

Catch and Release in Marine Recreational Fisheries

<em>Abstract.</em>—A total of 276 chinook salmon <em> Oncorhynchus tshawytscha</em>, less than 660-mm total length, were drift mooch-caught using barbless circle hooks and held for four days in 8,700 L, onboard holding tanks for wound location-specific, mortality rate evaluation. Only gut-hooked fish died in the first 24 hours of holding, and only lower-jaw hooked and gut-hooked fish died within the first 48 hours of holding. Gut-hooked fish that survived the four day holding period but whose internal organs were severely damaged were considered mortalities. The four day mortality rate attributable to the effects of handling and holding alone was estimated to be 0.048, based on a surrogate control group consisting of tank-held fish having no wounds or superficial wounds. The controladjusted, four day mortality rates depended strongly on hook wound location. The distribution of wound locations in the California recreational drift mooch salmon fishery was estimated based on a sample of 522 fish, less than 660-mm total length; the relative frequency of gut-hooked fish (0.406) was twice that of any other location. The fishery overall hook-and-release mortality rate was estimated to be 0.422 (95% confidence interval of 0.342–0.502), obtained by weighting the wound location-specific, four day mortality rates by the relative frequency of those wound locations in the fishery. The distribution of wound locations was found to depend on both hook size and fish-size class, but the effects of these factors were not additive on the log-odds scale. Blood plasma cortisol concentration, a measure of stress, was significantly higher in fish held for four days than in ocean-caught (presumably stress-free) fish, but there was considerable variation among individuals and the results were not useful in evaluating the effects of wound-induced stress. The requirement that (only) barbless circle hooks be used in the California drift mooch fishery substantially reduced the hook-and-release mortality rate in this fishery; however, the rate is still high. Hook-and-release mortality might be reduced further by educating anglers on the use of drift mooch methods that lessen the probability of gut hooking. If such education is effective in changing the fishery’s wound location profile, our estimate of the hook-and-release mortality rate can be easily updated using the methods described in this paper.