Fuzzy Logic Methods to Identify Potential Area Mapping for Mangrove Forests in Kendari using Landsat Image

Abstract

Indonesia is an archipelago country with widest mangrove areas in the world. This potential is supported by length the coastline reaches + 81,000 km. As one of city in Indonesia, Kendari surrounded by the bay with temperatures reaching 22-31°C makes it potential to has mangrove forests. But the mangrove areas in Kendari decrease by 30% in recent year. This study aims to determine the level of mangrove fertility so we hope in future we could identify potential area Mapping for Mangrove in Kendari to increase more mangrove area. To analyze the quality of mangroves area through remote sensing data can be used Normalized Difference Vegetation Index (NDVI) method. By utilizing Landsat 7.0 ETM + image can make it easier to get information without touching the object of research. This experiment used fuzzy logic method (Fuzzy Mamdani) to get fertility rate of land soil. The result showed the highest fertility rate of mangrove area is 58,2034 which categorized as Very Good and the lowest score is 36,991 which categorized as Average.