Using Genetic Algorithms to Optimize Regional Original Income in the Tourism Sector

Abstract

Improvements in the tourism industry as a result of the C-19 pandemic will have a direct impact on the increase in Regional Original Income (PAD). PAD in the tourism sector is optimized by implementing participatory management to empower local communities. Managers, guides, restaurants, lodging, transportation, and souvenir utilities are among the various opportunities available. PAD will increase with the development of the tourism sector that takes into account the influencing factors based on the current needs of the tourism society, namely Amenity, Attractions, Accessibility, and Ancillary (4A). One of the mathematical models used to solve practical problems is the genetic algorithm, which determines the parameters for optimizing the solution. To obtain a safe tourism recommendation, a Genetic Algorithm is used to solve this problem. The tourism society requires optimization on the following 4A parameters based on the 5th generations obtained from the genetic algorithm, namely natural attractions, souvenirs, health facilities, lodging, and transportation. The results will continue to change, more optimally, if a few more generations are carried out with the assistance of software.