A Combination of Social Media and Geospatial Data For Waste Mapping Using Fuzzy AHP And Vikor

Landfill waste is a common problem that occurs in many places. The management of landfills and concern for waste is the responsibility of the government and society. In this digital era, people's concern for waste is often shown by providing information on garbage piles on social media. The government is responsible for managing waste. This is under one of the government's main tasks and functions, namely managing waste to keep the environment clean. However, the government often has limited equipment and employees in charge of managing and collecting the waste dump. Limited equipment and employees have an impact on incomplete and not optimal waste handling. This research conducts mapping and recommendations for priority waste management based on a combination of criteria for the number of waste posts on social media and village geospatial data. The prioritization of waste piles uses FAHP and Vikor, which is then mapped using QGIS. To test the accuracy of the recommendations, we compare the ranking results with the expert ranking results. The study conducted experiments with various combinations of criteria. It was found that the criteria for posting data on social media did not affect in determining priority location for landfills compared to the criteria for the number of residents.