Syaritar Intelligent System for the Detection of Illegal Logging in the River Basin Jeneberang

摘要

Abstract-The purpose of this study is to classify the use of intelligent Syaritar system, methods for the detection of illegal logging and changes in forest area in the water sed. The research of intelligent hybrid system methods simulate Syaritar to knowudand analyze the logging on a sample image of the area of protected forest in the Jeneberang basin river by using sample image pair years 2007 to 2009. On the methods off intelligent system is an digital image, then cropped and will be classified inudorder to obtain a picture of the two parts of the forest area and the area is not a forest. Futher input parameter in the form of finding the average value of R (Red), G (Green), and B (Blue) for each sample pair the image of the beginning and end. Thisudparameter will be the input for a method of intelligent system. Intelligent system method Discrete Cosine Transform (DCT),Hidden Markov Model (HMM), and Syaritar, obtain the optimal method, the result of the optimization of the method of theintelligent system are the results obtained and has been tested interested area on watershed Jeneberang (DAS). The amount of training data used is the image of many data and test data used as the data obtained from either Google Earth or from Landsat imagery. Hybrid intelligent systems DCT HMM method (Syaritar) was able to identify and detect illegal logging in the region of protected forest area in particular the Jeneberang basin river with accuracy rate up to 90%. The result of the system classification of the vegetation index coverage area within the watershed has an area of the Jeneberang 79.250,28 Ha.udTo be aware of indications of illegal logging in the watershed, then Jeneberang overage done the process of calculating the value ofNDVI in the forest area ofDAS Jeneberang