Implementasi Algoritma Breadth First Search dalam Pencarian Tingkat Kekuatan Karakter pada Gim Persona Q2

Abstrak

In the field of application development, various methods have proven effective, including the use of the Breadth-First Search (BFS) algorithm in specific searches and grouping based on different criteria. In this research, we collected data about characters in the Persona Q2 game from various data sources, including character datasets and tier classifications. The development process includes reading character and tier data from CSV files, forming character graphs based on tiers, as well as integration with a web interface using Flask and HTML. The result is an interactive application that allows users to search for characters by tier, total stats, attack range, character type, and special upgrade abilities. The additional feature of displaying character details after clicking enriches the user experience with detailed information about each character that matches the search criteria.