DESIGN AND BUILD OF SEARCHING SYSTEM FOR THE NEAREST FISH SHOP ON AN ORNAMENTAL FISH MARKET WEBSITE
To address the problem of high shipping costs and long delivery times due to the distance between stores and rare stocks of fish, we have developed a system on Aqua Store ID that allows buyers to find the nearest fish shop based on their address. The system utilizes data from the Aqua Store ID internal database, which includes store data and fish product data. Additionally, we use the haversine algorithm to calculate the distance between the user's coordinates and the store coordinates. The data used in this study is obtained from the Aqua Store ID internal database. It includes information about the stores and their respective fish products. By utilizing the haversine algorithm, we can calculate the distance between the user's location, obtained from the address they input, and the coordinates of the stores in the Aqua Store ID database. To ensure the reliability and functionality of the system, thorough testing was conducted using the black box method. The black box method involves testing the system's functionality without examining its internal code. Predefined steps were followed during the testing process, and the results indicate that the system runs well and successfully provides search results for the nearest fish shop based on the user's address. With the implementation of this system, we expect that buyers on Aqua Store ID can easily locate the nearest fish shop based on their address. This will help solve problems related to shipping costs and delivery times, especially if the buyer is able to find a fish shop that is closer in proximity. By reducing the distance between the store and the buyer, we provide a more efficient and cost-effective buying and selling experience for ornamental fish on Aqua Store ID.