Haversine Geo-Spasial Data Android Model Untuk Optimasi Rute Kebersihan Lingkungan Terdekat

Abstract

The urgency of environmental sustainability necessitates innovative solutions to address growing waste management challenges. This research investigates the development of a mobile application that utilizes geospatial data and the Haversine formula to optimize waste disposal efficiency in Indonesia. The dramatic increase in national waste generation, from 65.8 million tons in 2017 to 75.2 million tons in 2018, highlights the critical need for such interventions. The application leverages geotagging to pinpoint the nearest and most suitable waste disposal locations, streamlining the waste collection process for environmental workers. To ensure accurate distance calculations, the Haversine formula is employed, achieving an 84% accuracy rate with an average deviation of 112.522 meters. Black-box testing methodologies evaluate the application's interface functionality, while data-source optimization is explored to enhance application speed and waste collection route planning. This research contributes to the growing body of knowledge concerning technology-driven solutions for sustainable waste management practices.