Travel Route Recommendation System Based on Weather Prediction and Geolocation Technology
Eko Budi Setiawan, Gradiyanto Putera Husein, Angga Setiyadi · 2023
Information regarding weather conditions is quite challenging to obtain and predict. People who in their daily lives have to travel to a destination, such as workers or traveling salesman, cannot predict the weather they will encounter during their journey. The impact is that people often experience some losses when traveling. This research produces an Android-based application used by the general public to avoid travel losses caused by weather. The application provides travel recommendation information in the form of routes obtained from the Google Directions API and weather predictions obtained from the Dark Sky API. This application helps users predict weather predictions on their path to reduce the risk of rain loss. The results of black-box testing and user acceptance found that Android-based applications managed to get a level of 84% in providing travel recommendations, achieving 80.6% success in predicting the weather and obtaining 76.6% in reducing rain risk.