Klasifikasi Kekeringan Tanah Menggunakan Metode Ridge Regression

Classifications drought land in a ridge regression aims to do classifications drought land in Jakarta and Bogor to satellite images landsat7 band 1, 2, 3, 4, 5 and 7, then selected area that have value NDSI (Normalized Difference Soil Index) more of or similar to 0.3. After that perform a division two categories, namely Y1 and Y2 with dummy dependent variable. A method of ridge regression used to shrink multicollinearity and the regression coefficient on the satellite images landsat7 band 1, 2, 3, 4, 5 and 7 by imposing penalty use constant bias. The results of classifications will shows broad drought land in Jakarta and Bogor. To testing the truth of the results of classifications drought the ground by ridge regression will be compared with their appearance in Google earth. Broad drought land highest in the Jakarta of 367.9740 km2 in May 2010 and in Bogor of 363.1266 km2 in June 2011 and the accuracy of the evaluation of classifications drought it can be said good because can reach value the accuracy of classifications drought land an average of 84.4688 % and standard deviations of 10.88442

Pengembangan Sistem Agregator Berita Bahasa Indonesia Menggunakan Content Extraction Dan Hierarchical Agglomerative Clustering

The main focus of this study is to develop system to aggregate Indonesian online newspaper and cluster it according to its topic automatically. The system use content extraction to get the main content of articles and Hierarchical Agglomerative Clustering to group articles by its topic with Dice Similarity Coefficient for similarity measure. To determine the cutting point, we cut dendrogram where the gap between two successive combination similarities is largest. Additionally, we add threshold to limit cutting area to improve cluster result. We use Standard Boolean Model for searching feature and Silhouette to evaluate cluster results. Test results using 998 articles shows that limiting cutting area with 0.1 and 0.5 can produce highest average silhouette value 0.264