Judul: Aplikasi Citra Landsat 8 untuk Identifikasi Kelas Tutupan Lahan di Kabupaten Ciamis
Abstrak: Landsat 8 satellite was developed by National Aeronautics and Space Administration (NASA) for natural resource monitoring activities. Landsat 8 is a continuation of the previous Landsat missions (Landsat 7) which has damaged since 2003 with the addition in number of channels and wavelength shift for each channel. The aims of this research are to determine the amount and type of land cover classes that can be identified using Landsat 8 imagery based on separability analysis and also to determine the best classification method in land cover mapping classes in Ciamis district. The using method in this research comprised of identification of land cover object that found in the field, training area, separability analysis to obtain the number of class that can be identified based on the digital number, supervised classification to classify land cover separability analysis result then accuracy test and compare its result with the visual image interpretation. Based on separability analysis, the number of classes that can be identified in Ciamis district consist 12 classes which are cloud, shadows of clouds, mangrove forest, rubber forest, coconut grove, rice field, shrub, open land, water bodie, dry land farming, residential and forest/ mixed farm. The best method to classify land cover in Ciamis district is Support Vector Machine with linear function because it has the highest value of kappa accuracy of 76,56% and has a high conformity by the visual image interpretation.
Keyword: Landsat 8, supervised classification, separability, Land cover

Judul: Aplikasi dan Evaluasi Citra Landsat 8 OLI dalam Identifikasi serta Pemetaan Tanah Kosong dan Tanaman Jati Muda di KPH Ciamis
Abstrak: Landsat Data Continuity Mission (LDCM) 8, better known as Landsat 8, has been launched by NASA in February 11th 2013, to replace the mission of Landsat 7 that damaged since May 2003. Landsat 8 have sensor onboard Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) with 11 channels.This study was to evaluate the applicabilityofLandsat8in differentiating land cover types, especially on bare land and young plantation. The study was conducted in the area of Perum Perhutani KPH Ciamis, by using methods of field object identification analysis, determination of training area, separation analysis, discriminant analysis and spatial modeling.Objects Identification analysis recognized 33 observation points with 5 classes of land coverage, i.e. bare land (11 points), 1-year-old teak plantation (6 points) , 2-year-old teak plantation (5 points) , 3-year-old teak plantation (5 points) and 4-year-old teak plantation (6 points). Separation analysis, using 2-5-6-7-9-10-11 band, indicated that the degree of separation of 2, 3 and 4 years old teak plantation were not good enough, so its needed to be re-grouped. Further analysis determined 3 land cover classes with very good values of separation(2000), i.e.bare land, 1-year-old teak plantation and plantation of teak aged 2-4 years . Discriminant analysis of the three classes of land coverage obtained proportion correct value of 70 %. Mapping by using spatial modeling of land coverage, indicated that the mapping of bare land, 1-year-old teak plantation and teak plantation aged 2-4 years consecutively produced underestimate, equal and overestimate than those of Landsat 8.
Keyword: land coverage, spatial modeling, Landsat 8, separation analysis, Discriminant analysis

Judul: Dynamical System of Hepatitis B in Three Groups with Vaccination
Abstrak: The aim of this study is to modify the hepatitis B transmission model in three age groups involving vaccination from the model conducted by Zhoe and Zhang.The method used is to analyze the stability of the fixed point and its basic reproduction number (R_0). Performed stability analysis and numerical simulation to see population dynamics. Next, a sensitivity analysis of the parameters was carried out to see its effect on R_0. From the analysis obtained two fixed points, namely non-endemic and endemic fixed points. Non-endemic fixed points are locally asymptotically stable if R_0 <1 Meanwhile, the endemic fixed point is locally asymptotically stable if R_0 > 1. Hepatitis vaccination affects the number of susceptible population, because the more successful the vaccination, the smaller the number of susceptible populations so that the smaller the population will be infected.
Keyword: Dynamic, Hepatitis B, Vaccine, Mathematical model